cyber_attacks_EuRepoC_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Importing libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "import seaborn as sns\n",
    "import mplcyberpunk\n",
    "import ast"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load and inspect European Repository of Cyber Incidents (EuRepoC) attack data\n",
    "\n",
    "Source: [EuRepoC database](https://eurepoc.eu/database/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Main information about data: \n",
      "Shape:(1643, 81)\n",
      "\n",
      "Column names:Index(['ID', 'name', 'description', 'start_date', 'end_date',\n",
      "       'inclusion_criteria', 'inclusion_criteria_subcode',\n",
      "       'source_incident_detection_disclosure', 'incident_type',\n",
      "       'receiver_name', 'receiver_country', 'receiver_region',\n",
      "       'receiver_category', 'receiver_category_subcode', 'initiator_name',\n",
      "       'initiator_country', 'initiator_category', 'initiator_category_subcode',\n",
      "       'number_of_attributions', 'attribution_date', 'attribution_type',\n",
      "       'attribution_basis', 'attributing_actor', 'attribution_it_company',\n",
      "       'attributing_country', 'attributed_initiator',\n",
      "       'attributed_initiator_country', 'attributed_initiator_category',\n",
      "       'attributed_initiator_subcategory', 'sources_attribution',\n",
      "       'cyber_conflict_issue', 'offline_conflict_issue',\n",
      "       'offline_conflict_name_HIIK', 'offline_conflict_intensity',\n",
      "       'offline_conflict_intensity_subcode', 'number_of_political_responses',\n",
      "       'political_response_date', 'political_response_type',\n",
      "       'political_response_type_subcode', 'political_response_country',\n",
      "       'political_response_actor', 'zero_days', 'zero_days_subcode',\n",
      "       'MITRE_initial_access', 'MITRE_impact', 'user_interaction',\n",
      "       'has_disruption', 'data_theft', 'disruption', 'hijacking',\n",
      "       'physical_effects_spatial', 'physical_effects_temporal',\n",
      "       'unweighted_cyber_intensity', 'target_multiplier',\n",
      "       'weighted_cyber_intensity', 'impact_indicator',\n",
      "       'impact_indicator_value', 'functional_impact', 'intelligence_impact',\n",
      "       'political_impact_affected_entities',\n",
      "       'political_impact_affected_entities_exact_value',\n",
      "       'political_impact_third_countries',\n",
      "       'political_impact_third_countries_exact_value', 'economic_impact',\n",
      "       'economic_impact_exact_value', 'economic_impact_currency',\n",
      "       'state_responsibility_indicator', 'IL_breach_indicator',\n",
      "       'IL_breach_indicator_subcode', 'evidence_for_sanctions_indicator',\n",
      "       'number_of_legal_responses', 'legal_response_date',\n",
      "       'legal_response_type', 'legal_response_type_subcode',\n",
      "       'legal_response_country', 'legal_response_actor',\n",
      "       'legal_attribution_reference', 'legal_attribution_reference_subcode',\n",
      "       'legal_response_indicator', 'casualties', 'sources_url'],\n",
      "      dtype='object')\n",
      "\n",
      "First 10 rows:\n",
      "   ID                                                     name  \\\n",
      "0   2      Cyberwar Azerbaijan-Armenia 2000/Azerbaijani Attack   \n",
      "1   3  Cyberwar Azerbaijan-Armenia 2000/Armenian Counterattack   \n",
      "2   4                                Taiwan Election Hack 2000   \n",
      "3   5                              \"First Sino-US-Cyber-War\" I   \n",
      "4   6                             \"First Sino-US-Cyber-War\" II   \n",
      "5   7                      Textbook Hack South Korea vs. Japan   \n",
      "6   8                                  Prior 9/11 Taliban Hack   \n",
      "7   9                            ZeeNews/India Today Hack 2001   \n",
      "8  10                                       NSA vs. US muslims   \n",
      "9  11                                               Titan Rain   \n",
      "\n",
      "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              description  \\\n",
      "0                                                                                                                                                                                                                                                                                                                                                                   Azerbaijani Hackers took down and defaced webpages of the Armenian state TV and webpages with information about the Armenia genocide.   \n",
      "1                                                                                                                                                                                                                                                                                                                                                                                        In response to the previous attack Armenian hacker group Liazor took down the webpages of many Azerbaijani users   \n",
      "2                                                                                                                                                                                                                                                                                                                                                                          Chinese hackers succeeded in attacking several government websites after Mr Chen (Taiwanese President) was sworn in on May 20.   \n",
      "3                                                                                                                                                                                                                                                                                                                                           After the collision of an American spy plane and a Chinese jet, hackers in the United States and China began defacing Web sites on both sides of the Pacific.   \n",
      "4                                                                                                                                                                                                                                                                                                                                           After the collision of an American spy plane and a Chinese jet, hackers in the United States and China began defacing Web sites on both sides of the Pacific.   \n",
      "5                                                                                                                                                                                                                                                                                                                                                                                                                             DDoS retaliatory campaign over a revisionist WWII Japanese history textbook   \n",
      "6                                                                                                                                                                                                                                                                                                                                         A couple of weeks bevor 9/11 pro Taliban websites have been defaced by western activists, claiming to do so because of the Taliban`s threats to internet users.   \n",
      "7                                                                                                                                                                                                                                                                                                                                                           Website-defacements of Indian news outlets over the criticism of militant groups operating inside Pakistan, and Pakistani-controlled Kashmir.   \n",
      "8                                                                                                                                                                                                                                                                                                                                                                                                                                                            The NSA spied on prominent muslims in the US   \n",
      "9  Titan Rain was the designation given by the federal government of the United States to a series of coordinated attacks on American computer systems since 2003; they were known to have been ongoing for at least three years.[1] The attacks were labeled as Chinese in origin, although their precise nature, e.g., state-sponsored espionage, corporate espionage, or random hacker attacks, and their real identities – masked by proxy, zombie computer, spyware/virus infected – remain unknown.   \n",
      "\n",
      "   start_date    end_date  \\\n",
      "0  2000-01-01  2000-01-01   \n",
      "1  2000-01-01  2000-01-01   \n",
      "2  2000-05-20  2000-05-20   \n",
      "3  2001-05-01  2001-05-01   \n",
      "4  2001-05-01  2001-05-01   \n",
      "5  2001-05-01  2001-05-01   \n",
      "6  2001-08-01  2001-08-01   \n",
      "7  2001-10-22  2001-10-22   \n",
      "8  2002-01-01  2008-01-01   \n",
      "9  2003-01-01  2007-01-01   \n",
      "\n",
      "                                                                                                                                                                                                inclusion_criteria  \\\n",
      "0                                                                                                                                                      Attack on (inter alia) political target(s), not politicized   \n",
      "1                                                                                                                                                      Attack on (inter alia) political target(s), not politicized   \n",
      "2  Attack conducted by non-state group / non-state actor with political goals (religious, ethnic, etc. groups) / undefined actor with political goals; Attack on (inter alia) political target(s), not politicized   \n",
      "3      Attack conducted by non-state group / non-state actor with political goals (religious, ethnic, etc. groups) / undefined actor with political goals; Attack on (inter alia) political target(s), politicized   \n",
      "4      Attack conducted by non-state group / non-state actor with political goals (religious, ethnic, etc. groups) / undefined actor with political goals; Attack on (inter alia) political target(s), politicized   \n",
      "5                                                               Attack conducted by non-state group / non-state actor with political goals (religious, ethnic, etc. groups) / undefined actor with political goals   \n",
      "6  Attack conducted by non-state group / non-state actor with political goals (religious, ethnic, etc. groups) / undefined actor with political goals; Attack on (inter alia) political target(s), not politicized   \n",
      "7                                                               Attack conducted by non-state group / non-state actor with political goals (religious, ethnic, etc. groups) / undefined actor with political goals   \n",
      "8   Attack conducted by nation state (generic “state-attribution” or direct attribution towards specific state-entities, e.g., intelligence agencies); Attack on (inter alia) political target(s), not politicized   \n",
      "9                                                               Attack conducted by non-state group / non-state actor with political goals (religious, ethnic, etc. groups) / undefined actor with political goals   \n",
      "\n",
      "                                                                                                                                                                                                  inclusion_criteria_subcode  \\\n",
      "0                                                                                                                                                                                                                        NaN   \n",
      "1                                                                                                                                                                                                                        NaN   \n",
      "2                                                                                                                                                                                                                        NaN   \n",
      "3                                                                                                                                                                                                                        NaN   \n",
      "4                                                                                                                                                                                                                        NaN   \n",
      "5                                                                                                                                                                                                                        NaN   \n",
      "6                                                                                                                                                                                                                        NaN   \n",
      "7                                                                                                                                                                                                                        NaN   \n",
      "8                                                                                                                                                                                                                        NaN   \n",
      "9  Attack conducted by a state-affiliated group (includes state-sanctioned, state-supported, state-controlled but officially non-state actors) (“cyber-proxies”) / a group that is generally attributed as state-affiliated    \n",
      "\n",
      "                                                                                                 source_incident_detection_disclosure  \\\n",
      "0                                                                                                      Incident disclosed by attacker   \n",
      "1                                                                                                      Incident disclosed by attacker   \n",
      "2                                                                                                      Incident disclosed by attacker   \n",
      "3                                                                                                      Incident disclosed by attacker   \n",
      "4                                                                                                      Incident disclosed by attacker   \n",
      "5                                                                                                      Incident disclosed by attacker   \n",
      "6                                                                                                      Incident disclosed by attacker   \n",
      "7                                                                                                      Incident disclosed by attacker   \n",
      "8  Incident disclosed by third-party-actor (e.g., Citizen Lab, Amnesty International, whistleblowers) or authorities of another state   \n",
      "9                                   Incident disclosed by media (without further information on source); Incident disclosed by victim   \n",
      "\n",
      "  incident_type        receiver_name  ... legal_response_date  \\\n",
      "0    Disruption  [['Not available']]  ...                 NaN   \n",
      "1    Disruption                  NaN  ...                 NaN   \n",
      "2    Disruption                  NaN  ...                 NaN   \n",
      "3    Disruption                  NaN  ...                 NaN   \n",
      "4    Disruption                  NaN  ...                 NaN   \n",
      "5    Disruption                  NaN  ...                 NaN   \n",
      "6    Disruption                  NaN  ...                 NaN   \n",
      "7    Disruption  [['Not available']]  ...                 NaN   \n",
      "8    Data theft                  NaN  ...                 NaN   \n",
      "9    Data theft                  NaN  ...                 NaN   \n",
      "\n",
      "  legal_response_type legal_response_type_subcode legal_response_country  \\\n",
      "0                 NaN                         NaN                    NaN   \n",
      "1                 NaN                         NaN                    NaN   \n",
      "2                 NaN                         NaN                    NaN   \n",
      "3                 NaN                         NaN                    NaN   \n",
      "4                 NaN                         NaN                    NaN   \n",
      "5                 NaN                         NaN                    NaN   \n",
      "6                 NaN                         NaN                    NaN   \n",
      "7                 NaN                         NaN                    NaN   \n",
      "8                 NaN                         NaN                    NaN   \n",
      "9                 NaN                         NaN                    NaN   \n",
      "\n",
      "  legal_response_actor legal_attribution_reference  \\\n",
      "0                  NaN                         NaN   \n",
      "1                  NaN                         NaN   \n",
      "2                  NaN                         NaN   \n",
      "3                  NaN                         NaN   \n",
      "4                  NaN                         NaN   \n",
      "5                  NaN                         NaN   \n",
      "6                  NaN                         NaN   \n",
      "7                  NaN                         NaN   \n",
      "8                  NaN                         NaN   \n",
      "9                  NaN                         NaN   \n",
      "\n",
      "  legal_attribution_reference_subcode legal_response_indicator  casualties  \\\n",
      "0                                 NaN                      NaN         NaN   \n",
      "1                                 NaN                      NaN         NaN   \n",
      "2                                 NaN                      NaN         NaN   \n",
      "3                                 NaN                      NaN         NaN   \n",
      "4                                 NaN                      NaN         NaN   \n",
      "5                                 NaN                      NaN         NaN   \n",
      "6                                 NaN                      NaN         NaN   \n",
      "7                                 NaN                      NaN         NaN   \n",
      "8                                 NaN                      NaN         NaN   \n",
      "9                                 NaN                      NaN         NaN   \n",
      "\n",
      "                                                                                                                                                                                                                                                                                                                                                                                              sources_url  \n",
      "0                                                                                                                                                                                                                                                                                                                                ['https://eurasianet.org/nagorno-karabakh-dispute-takes-to-cyber-space']  \n",
      "1                                                                                                                                                                                                                                                                                                                                                                                                      []  \n",
      "2                                                                                                                                                                                                                                                                                 ['http://www.hartford-hwp.com/archives/55/105.html', 'https://nsarchive2.gwu.edu//NSAEBB/NSAEBB424/docs/Cyber-030.pdf']  \n",
      "3                                                  ['https://www.nytimes.com/2001/05/13/weekinreview/may-6-12-the-first-world-hacker-war.html', 'https://www.theguardian.com/technology/2001/may/04/china.internationalnews', 'https://nsarchive2.gwu.edu//NSAEBB/NSAEBB424/docs/Cyber-030.pdf', 'https://www.upi.com/Defense-News/2002/10/29/China-prevented-repeat-cyber-attack-on-US/51011035913195/']  \n",
      "4                                                                                                                     ['https://www.nytimes.com/2001/05/13/weekinreview/may-6-12-the-first-world-hacker-war.html', 'https://www.theguardian.com/technology/2001/may/04/china.internationalnews', 'https://www.upi.com/Defense-News/2002/10/29/China-prevented-repeat-cyber-attack-on-US/51011035913195/']  \n",
      "5                                                                                                                                                                                                                                                                                                                                                      ['https://cmsw.mit.edu/mit2/Abstracts/ducke1.pdf']  \n",
      "6                                                                                                                                                                                                                                       ['https://books.google.de/books?id=WfIFiEs0HQ8C&pg=PA89&lpg=PA89&dq=Pro-Palestinian+Hackers++AT%26T+2000&q=Pro-Palestinian%20Hackers%20%20AT%26T%202000&f=false']  \n",
      "7                                                                                                                                                                                                                                                                                                                                                   ['http://news.bbc.co.uk/2/hi/south_asia/1617478.stm']  \n",
      "8                                                                                                                                                                                                                                                                                                                                             ['https://theintercept.com/2014/07/09/under-surveillance/']  \n",
      "9  ['http://content.time.com/time/subscriber/article/0,33009,1098961,00.html', 'https://www.symantec.com/content/en/us/enterprise/articles/b-cxo_how_to_combat_cyber_espionage_somaini_ART_21032685.en-us.pdf', 'https://www.theguardian.com/technology/2014/may/19/us-accusations-chinese-hacking-eight-years', 'https://www.washingtonpost.com/wp-dyn/content/article/2005/08/24/AR2005082402318.html']  \n",
      "\n",
      "[10 rows x 81 columns]\n"
     ]
    }
   ],
   "source": [
    "raw_data_eu = 'EuRepoC_Global_Database_1.1.xlsx'\n",
    "df_data_eu = pd.read_excel(raw_data_eu)\n",
    "print(f'Main information about data: \\nShape:{df_data_eu.shape}')\n",
    "print(f'\\nColumn names:{df_data_eu.columns}')\n",
    "print(f'\\nFirst 10 rows:\\n{df_data_eu.head(10)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Select relevant columns from EuRepoC attack data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   ID                                                     name  \\\n",
      "0   2      Cyberwar Azerbaijan-Armenia 2000/Azerbaijani Attack   \n",
      "1   3  Cyberwar Azerbaijan-Armenia 2000/Armenian Counterattack   \n",
      "2   4                                Taiwan Election Hack 2000   \n",
      "3   5                              \"First Sino-US-Cyber-War\" I   \n",
      "4   6                             \"First Sino-US-Cyber-War\" II   \n",
      "\n",
      "                                                                                                                                                     description  \\\n",
      "0                          Azerbaijani Hackers took down and defaced webpages of the Armenian state TV and webpages with information about the Armenia genocide.   \n",
      "1                                               In response to the previous attack Armenian hacker group Liazor took down the webpages of many Azerbaijani users   \n",
      "2                                 Chinese hackers succeeded in attacking several government websites after Mr Chen (Taiwanese President) was sworn in on May 20.   \n",
      "3  After the collision of an American spy plane and a Chinese jet, hackers in the United States and China began defacing Web sites on both sides of the Pacific.   \n",
      "4  After the collision of an American spy plane and a Chinese jet, hackers in the United States and China began defacing Web sites on both sides of the Pacific.   \n",
      "\n",
      "   start_date    end_date incident_type   receiver_country  \\\n",
      "0  2000-01-01  2000-01-01    Disruption        ['Armenia']   \n",
      "1  2000-01-01  2000-01-01    Disruption     ['Azerbaijan']   \n",
      "2  2000-05-20  2000-05-20    Disruption         ['Taiwan']   \n",
      "3  2001-05-01  2001-05-01    Disruption  ['United States']   \n",
      "4  2001-05-01  2001-05-01    Disruption          ['China']   \n",
      "\n",
      "                                                                                                                                                                                              receiver_category  \\\n",
      "0                                                                                                                                                 [['State institutions / political system', 'Media', 'Other']]   \n",
      "1  [['Social groups', 'Corporate Targets (corporate targets only coded if the respective company is not part of the critical infrastructure definition)', 'End user(s) / specially protected groups', 'Other']]   \n",
      "2                                                                                                                                                                   [['State institutions / political system']]   \n",
      "3                                                                                                                          [['State institutions / political system', 'State institutions / political system']]   \n",
      "4                                                                                                                                                                                                   [['Other']]   \n",
      "\n",
      "                                                  receiver_category_subcode  \\\n",
      "0                                                                       NaN   \n",
      "1  [['Advocacy / activists (e.g. human rights organizations)', '', '', '']]   \n",
      "2                                             [['Government / ministries']]   \n",
      "3                                         [['Government / ministries', '']]   \n",
      "4                                                                       NaN   \n",
      "\n",
      "   initiator_country  \n",
      "0     ['Azerbaijan']  \n",
      "1        ['Armenia']  \n",
      "2          ['China']  \n",
      "3          ['China']  \n",
      "4  ['United States']  \n"
     ]
    }
   ],
   "source": [
    "selected_columns = ['ID', 'name', 'description', 'start_date', 'end_date', 'incident_type',\n",
    "                    'receiver_country', 'receiver_category', 'receiver_category_subcode',\n",
    "                    'initiator_country']\n",
    "df_data_eu = df_data_eu[selected_columns]\n",
    "print(df_data_eu.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Filter EuRepoC attack data to attacks on state institutions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_data_eu = df_data_eu[df_data_eu['receiver_category'].str.contains(\n",
    "                    'State institutions / political system', na=False)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Identify unique incident types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unique values in incident_type: ['Disruption' 'Data theft' 'Data theft; Hijacking with Misuse'\n",
      " 'Data theft; Hijacking without Misuse' 'Hijacking without Misuse'\n",
      " 'Data theft; Disruption' 'Disruption; Hijacking with Misuse'\n",
      " 'Data theft & Doxing' 'Data theft; Disruption; Hijacking with Misuse'\n",
      " 'Data theft & Doxing; Disruption' 'Hijacking with Misuse'\n",
      " 'Data theft & Doxing; Hijacking with Misuse'\n",
      " 'Data theft & Doxing; Disruption; Ransomware'\n",
      " 'Disruption; Hijacking with Misuse; Ransomware' 'Disruption; Ransomware'\n",
      " 'Data theft; Hijacking with Misuse; Ransomware'\n",
      " 'Data theft & Doxing; Disruption; Hijacking with Misuse; Ransomware'\n",
      " 'Data theft & Doxing; Disruption; Hijacking with Misuse'\n",
      " 'Data theft; Disruption; Hijacking with Misuse; Ransomware'\n",
      " 'Data theft; Ransomware']\n",
      "\n"
     ]
    }
   ],
   "source": [
    "columns_to_check_uniques = ['incident_type']\n",
    "for col in columns_to_check_uniques:\n",
    "    unique_values = df_data_eu[col].unique()\n",
    "    print(f'Unique values in {col}: {unique_values}\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Group EuRepoC attack data by country and count occurrences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Receiver Country Counts:\n",
      "                                         country_receiver  count_receiver\n",
      "0                                          United States             220\n",
      "1                                                 Russia              79\n",
      "2                                                  India              74\n",
      "3                                                  Spain              64\n",
      "4                                                 Israel              58\n",
      "..                                                   ...             ...\n",
      "147                                            Swaziland               1\n",
      "148                                                Nauru               1\n",
      "149  Organization for Security and Cooperation in Europe               1\n",
      "150                                              Namibia               1\n",
      "151                               Bosnia and Herzegovina               1\n",
      "\n",
      "[152 rows x 2 columns]\n",
      "\n",
      "Initiator Country Counts:\n",
      "             country_initiator  count_initiator\n",
      "0                     Unknown              458\n",
      "1                       China              145\n",
      "2                      Russia              116\n",
      "3   Iran, Islamic Republic of               50\n",
      "4                    Pakistan               37\n",
      "..                        ...              ...\n",
      "71                      Egypt                1\n",
      "72                     Jordan                1\n",
      "73              Asia (region)                1\n",
      "74                     Kuwait                1\n",
      "75   Central America (region)                1\n",
      "\n",
      "[76 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "df_counties = df_data_eu[['receiver_country', 'initiator_country']]\n",
    "df_counties = df_counties.dropna()\n",
    "\n",
    "# Define a function to safely evaluate the string representations as lists\n",
    "def safe_eval(x):\n",
    "    try:\n",
    "        return ast.literal_eval(x)\n",
    "    except (ValueError, SyntaxError):\n",
    "        return []\n",
    "\n",
    "# Select columns of interest and apply safe_eval\n",
    "selected_columns = ['receiver_country', 'initiator_country']\n",
    "for col in selected_columns:\n",
    "    df_counties[col] = df_counties[col].apply(safe_eval)\n",
    "# Flatten and count occurrences of each country for both columns\n",
    "all_countries = [country if country not in ('Not available', 'Unknown') else 'Unknown'\n",
    "                 for sublist in df_counties['receiver_country'] for country in sublist]\n",
    "country_counts_receiver = pd.Series(all_countries).value_counts()\n",
    "df_country_counts_receiver = country_counts_receiver.reset_index()\n",
    "df_country_counts_receiver.columns = ['country_receiver', 'count_receiver']\n",
    "df_country_counts_receiver['country_receiver'].replace({'Not available': 'Unknown'}, inplace=True)\n",
    "\n",
    "all_countries = [country if country not in ('Not available', 'Unknown') else 'Unknown'\n",
    "                 for sublist in df_counties['initiator_country'] for country in sublist]\n",
    "country_counts_initiator = pd.Series(all_countries).value_counts()\n",
    "df_country_counts_initiator = country_counts_initiator.reset_index()\n",
    "df_country_counts_initiator.columns = ['country_initiator', 'count_initiator']\n",
    "\n",
    "print('Receiver Country Counts:\\n', df_country_counts_receiver)\n",
    "print('\\nInitiator Country Counts:\\n', df_country_counts_initiator)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Identify top receiver and initiator countries in EuRepoC attacks.\n",
    "* The top three most frequently targeted countries are the United States, Russia, and India, while the top three originating countries are China, Russia, and Iran. Concerns have been expressed about the activities of these countries: \n",
    "[Germany Warns Of Cyber Attacks By Russia, Iran, China](https://www.iranintl.com/en/202307077848),\n",
    "[Australia says state-sponsored attacks from China, Russia and Iran made cyberspace a ‘battleground’](https://www.scmp.com/news/asia/australasia/article/3198374/australia-says-state-sponsored-attacks-china-russia-and-iran-made-cyberspace-battleground).\n",
    "* It's worth noting that in almost half of the cases, the originating country is unknown."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_n = 15\n",
    "\n",
    "# Sort the DataFrames by count in descending order and take the top countries\n",
    "top_20_receiver = df_country_counts_receiver.sort_values(by='count_receiver', ascending=False).head(top_n)\n",
    "top_20_initiator = df_country_counts_initiator.sort_values(by='count_initiator', ascending=False).head(top_n)\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "plt.subplot(2, 1, 1)\n",
    "sns.barplot(x='count_receiver', y='country_receiver', data=top_20_receiver, orient='h')\n",
    "plt.xlabel('Count')\n",
    "plt.ylabel('')\n",
    "plt.title('Top Receiver Countries')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.subplot(2, 1, 2)\n",
    "sns.barplot(x='count_initiator', y='country_initiator', data=top_20_initiator, orient='h')\n",
    "plt.xlabel('Count')\n",
    "plt.ylabel('')\n",
    "plt.title('Top Initiator Countries')\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Info about Lithuania related attacks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Receiver Countries for Lithuania:\n",
      "country_receiver  count_receiver\n",
      "       Lithuania               6\n",
      "\n",
      "\n",
      "No data for Initiator Countries for Lithuania\n"
     ]
    }
   ],
   "source": [
    "country = 'Lithuania'\n",
    "df_country_rec = df_country_counts_receiver[df_country_counts_receiver['country_receiver'] == country]\n",
    "df_country_init = df_country_counts_initiator[df_country_counts_initiator['country_initiator'] == country]\n",
    "\n",
    "formatted_rec = df_country_rec.to_string(index=False)\n",
    "formatted_init = df_country_init.to_string(index=False)\n",
    "\n",
    "if df_country_rec.empty:\n",
    "    print(f\"No data for Receiver Countries for {country}\")\n",
    "else:\n",
    "    print(f\"Receiver Countries for {country}:\\n{formatted_rec}\\n\\n\")\n",
    "\n",
    "if df_country_init.empty:\n",
    "    print(f\"No data for Initiator Countries for {country}\")\n",
    "else:\n",
    "    print(f\"Initiator Countries for {country}:\\n{formatted_init}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_6ad80\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_6ad80_level0_col0\" class=\"col_heading level0 col0\" >start_date</th>\n",
       "      <th id=\"T_6ad80_level0_col1\" class=\"col_heading level0 col1\" >name</th>\n",
       "      <th id=\"T_6ad80_level0_col2\" class=\"col_heading level0 col2\" >initiator_country</th>\n",
       "      <th id=\"T_6ad80_level0_col3\" class=\"col_heading level0 col3\" >description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_6ad80_row0_col0\" class=\"data row0 col0\" >2008-06-01</td>\n",
       "      <td id=\"T_6ad80_row0_col1\" class=\"data row0 col1\" >Anti-Lithuanian Defacement 2008</td>\n",
       "      <td id=\"T_6ad80_row0_col2\" class=\"data row0 col2\" >['Russia']</td>\n",
       "      <td id=\"T_6ad80_row0_col3\" class=\"data row0 col3\" >300 Lithuanian official and private websites were defaced with communist symbols after the ban on communist symbols in the country, but the Government didn't accused Russia directly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_6ad80_row1_col0\" class=\"data row1 col0\" >2015-01-01</td>\n",
       "      <td id=\"T_6ad80_row1_col1\" class=\"data row1 col1\" >Russia vs. Lithuanian Government</td>\n",
       "      <td id=\"T_6ad80_row1_col2\" class=\"data row1 col2\" >['Russia']</td>\n",
       "      <td id=\"T_6ad80_row1_col3\" class=\"data row1 col3\" >Russia targets Lithuanian government computers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_6ad80_row2_col0\" class=\"data row2 col0\" >2017-03-01</td>\n",
       "      <td id=\"T_6ad80_row2_col1\" class=\"data row2 col1\" >Operation Ghostwriter: a Belarusian/Russian APT UNC1151 with links to the secret services stole and leaked information of various targets in Germany, Lithuania, Latvia and Poland until 2021</td>\n",
       "      <td id=\"T_6ad80_row2_col2\" class=\"data row2 col2\" >['Russia']</td>\n",
       "      <td id=\"T_6ad80_row2_col3\" class=\"data row2 col3\" >The European Council formally attributed responsibility to the Russian state in late September 2021 for the Ghostwriter campaign that has been ongoing since at least 2017, after Germany accused Russia of involvement in the cyber operation earlier that month. The campaign here primarily targeted government as well as press personnel in Lithuania, Latvia and Poland, and since 2021, Germany.\n",
       "In Poland, the emails of Polish Chief of Chancellery Michal Dworczyk were published  over many months in starting in June 2021, according to Dworczyk himself and other members of the government.\n",
       "The emails contained information on questionable government decisions. Michal Dworczyk resigned on 30 September 2022. The European Union already issued a Declaration by the High Representative in September 2021, condemning the Ghostwriter campaign.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_6ad80_row3_col0\" class=\"data row3 col0\" >2019-08-01</td>\n",
       "      <td id=\"T_6ad80_row3_col1\" class=\"data row3 col1\" >FamousSparrow</td>\n",
       "      <td id=\"T_6ad80_row3_col2\" class=\"data row3 col2\" >['Unknown']</td>\n",
       "      <td id=\"T_6ad80_row3_col3\" class=\"data row3 col3\" >The new cyber espionage group FamousSparrow, active since at least 2019, exploited the already known ProxyLogon vulnerability in early March 2021. The group's main targets are hotels in particular, but also government organizations, engineering firms, as well as law firms worldwide.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_6ad80_row4_col0\" class=\"data row4 col0\" >2020-11-01</td>\n",
       "      <td id=\"T_6ad80_row4_col1\" class=\"data row4 col1\" >Emails from Lithuanian Ministry for sale</td>\n",
       "      <td id=\"T_6ad80_row4_col2\" class=\"data row4 col2\" >['Unknown']</td>\n",
       "      <td id=\"T_6ad80_row4_col3\" class=\"data row4 col3\" >In a data trading forum, 1.6 million emails from the Lithuanian Foreign Ministry were offered for sale. The Lithuanian president also announces that there are indications that sensitive and secret data were stolen in a cyberattack in November 2020.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_6ad80_row5_col0\" class=\"data row5 col0\" >2021-03-01</td>\n",
       "      <td id=\"T_6ad80_row5_col1\" class=\"data row5 col1\" >ChamelGang</td>\n",
       "      <td id=\"T_6ad80_row5_col2\" class=\"data row5 col2\" >['Unknown']</td>\n",
       "      <td id=\"T_6ad80_row5_col3\" class=\"data row5 col3\" >The previously unknown APT ChamelGang targeted institutions, such as the government, aviation and energy sectors, of a total of ten countries in two attacks. The group disguised its malware and network infrastructure as legitimate domains, such as McAffee, Microsoft, or TrendMicro.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x14abfd7b7d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtered_country = df_data_eu[df_data_eu['receiver_country'].apply(lambda x: country in x)]\n",
    "filtered_country = filtered_country[['start_date', 'name', 'initiator_country', 'description', ]]\n",
    "pd.set_option('display.max_colwidth', None)\n",
    "filtered_country = filtered_country.style.hide(axis=\"index\")\n",
    "display(filtered_country)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Count unique receiver and initiator countries by month in EuRepoC attack data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of unique receiver countries attacked each month:\n",
      "        Date  unique receiver countries\n",
      "0    2000-01                          1\n",
      "1    2000-05                          1\n",
      "2    2001-01                          1\n",
      "3    2001-05                          1\n",
      "4    2002-01                          1\n",
      "..       ...                        ...\n",
      "182  2022-11                          3\n",
      "183  2022-12                          6\n",
      "184  2023-01                          9\n",
      "185  2023-02                          2\n",
      "186  2023-03                          4\n",
      "\n",
      "[187 rows x 2 columns]\n",
      "\n",
      "Number of unique initiator countries attacked each month:\n",
      "        Date  unique initiator countries\n",
      "0    2000-01                           1\n",
      "1    2000-05                           1\n",
      "2    2001-01                           1\n",
      "3    2001-05                           1\n",
      "4    2002-01                           1\n",
      "..       ...                         ...\n",
      "182  2022-11                           3\n",
      "183  2022-12                           2\n",
      "184  2023-01                           2\n",
      "185  2023-02                           2\n",
      "186  2023-03                           2\n",
      "\n",
      "[187 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "df_counties = df_data_eu[['start_date', 'receiver_country', 'initiator_country']].dropna()\n",
    "\n",
    "# Define a function to safely evaluate the string representations as lists\n",
    "def safe_eval(x):\n",
    "    try:\n",
    "        return ast.literal_eval(x)\n",
    "    except (ValueError, SyntaxError):\n",
    "        return []\n",
    "\n",
    "# Apply safe_eval to the 'receiver_country' and 'initiator_country' columns\n",
    "for col in ['receiver_country', 'initiator_country']:\n",
    "    df_counties[col] = df_counties[col].apply(safe_eval)\n",
    "\n",
    "# Replace 'Not available' with 'Unknown' in both columns\n",
    "df_counties['receiver_country'] = df_counties['receiver_country'].apply(lambda x:\n",
    "                                                    ['Unknown' if c == 'Not available' else c for c in x])\n",
    "df_counties['initiator_country'] = df_counties['initiator_country'].apply(lambda x:\n",
    "                                                    ['Unknown' if c == 'Not available' else c for c in x])\n",
    "\n",
    "# Create a new column for the month\n",
    "df_counties['month'] = pd.to_datetime(df_counties['start_date']).dt.to_period('M')\n",
    "\n",
    "# Calculate the number of unique 'receiver_country' per month\n",
    "receiver_country_counts = df_counties.groupby('month')['receiver_country'].apply(lambda x:\n",
    "                                            len(set([country for sublist in x for country in sublist])))\n",
    "df_receiver_country_by_month = receiver_country_counts.reset_index()\n",
    "df_receiver_country_by_month.columns = ['Date', 'unique receiver countries']\n",
    "\n",
    "initiator_country_counts = df_counties.groupby('month')['initiator_country'].apply(lambda x: \n",
    "                                            len(set([country for sublist in x for country in sublist])))\n",
    "df_initiator_country_by_month = initiator_country_counts.reset_index()\n",
    "df_initiator_country_by_month.columns = ['Date', 'unique initiator countries']\n",
    "\n",
    "print('Number of unique receiver countries attacked each month:')\n",
    "print(df_receiver_country_by_month)\n",
    "\n",
    "print('\\nNumber of unique initiator countries attacked each month:')\n",
    "print(df_initiator_country_by_month)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Count unique receiver and initiator countries by year in EuRepoC attack data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of unique receiver countries attacked each year:\n",
      "    Date  unique receiver countries\n",
      "0   2000                          2\n",
      "1   2001                          2\n",
      "2   2002                          1\n",
      "3   2003                          2\n",
      "4   2004                          3\n",
      "5   2005                         16\n",
      "6   2006                         17\n",
      "7   2007                         41\n",
      "8   2008                         29\n",
      "9   2009                         31\n",
      "10  2010                         34\n",
      "11  2011                         56\n",
      "12  2012                         39\n",
      "13  2013                         63\n",
      "14  2014                         48\n",
      "15  2015                         49\n",
      "16  2016                         79\n",
      "17  2017                         64\n",
      "18  2018                         54\n",
      "19  2019                         64\n",
      "20  2020                         34\n",
      "21  2021                         49\n",
      "22  2022                         43\n",
      "23  2023                         13\n",
      "\n",
      "Number of unique initiator countries attacked each year:\n",
      "    Date  unique initiator countries\n",
      "0   2000                           2\n",
      "1   2001                           2\n",
      "2   2002                           1\n",
      "3   2003                           1\n",
      "4   2004                           3\n",
      "5   2005                           4\n",
      "6   2006                           2\n",
      "7   2007                           9\n",
      "8   2008                           9\n",
      "9   2009                          10\n",
      "10  2010                          11\n",
      "11  2011                          22\n",
      "12  2012                          15\n",
      "13  2013                          35\n",
      "14  2014                          18\n",
      "15  2015                          18\n",
      "16  2016                          23\n",
      "17  2017                          14\n",
      "18  2018                          16\n",
      "19  2019                          14\n",
      "20  2020                           8\n",
      "21  2021                          14\n",
      "22  2022                           9\n",
      "23  2023                           3\n"
     ]
    }
   ],
   "source": [
    "df_counties = df_data_eu[['start_date', 'receiver_country', 'initiator_country']].dropna()\n",
    "\n",
    "# Define a function to safely evaluate the string representations as lists\n",
    "def safe_eval(x):\n",
    "    try:\n",
    "        return ast.literal_eval(x)\n",
    "    except (ValueError, SyntaxError):\n",
    "        return []\n",
    "\n",
    "# Apply safe_eval to the 'receiver_country' and 'initiator_country' columns\n",
    "for col in ['receiver_country', 'initiator_country']:\n",
    "    df_counties[col] = df_counties[col].apply(safe_eval)\n",
    "\n",
    "# Replace 'Not available' with 'Unknown' in both columns\n",
    "df_counties['receiver_country'] = df_counties['receiver_country'].apply(lambda x:\n",
    "                                                    ['Unknown' if c == 'Not available' else c for c in x])\n",
    "df_counties['initiator_country'] = df_counties['initiator_country'].apply(lambda x:\n",
    "                                                    ['Unknown' if c == 'Not available' else c for c in x])\n",
    "\n",
    "# Create a new column for the year\n",
    "df_counties['year'] = pd.to_datetime(df_counties['start_date']).dt.to_period('Y')\n",
    "\n",
    "# Calculate the number of unique 'receiver_country' per year\n",
    "receiver_country_counts = df_counties.groupby('year')['receiver_country'].apply(lambda x:\n",
    "                                            len(set([country for sublist in x for country in sublist])))\n",
    "df_receiver_country_by_year = receiver_country_counts.reset_index()\n",
    "df_receiver_country_by_year.columns = ['Date', 'unique receiver countries']\n",
    "\n",
    "initiator_country_counts = df_counties.groupby('year')['initiator_country'].apply(lambda x: \n",
    "                                             len(set([country for sublist in x for country in sublist])))\n",
    "df_initiator_country_by_year = initiator_country_counts.reset_index()\n",
    "df_initiator_country_by_year.columns = ['Date', 'unique initiator countries']\n",
    "\n",
    "print('Number of unique receiver countries attacked each year:')\n",
    "print(df_receiver_country_by_year)\n",
    "\n",
    "print('\\nNumber of unique initiator countries attacked each year:')\n",
    "print(df_initiator_country_by_year)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the number of unique receiver and initiator countries attacked each month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "# Convert 'Date' column to timestamp, and then to datetime\n",
    "df_receiver_country_by_month['Date'] = df_receiver_country_by_month['Date'].dt.to_timestamp()\n",
    "df_initiator_country_by_month['Date'] = df_initiator_country_by_month['Date'].dt.to_timestamp()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "# Plot the number of unique receiver countries\n",
    "sns.lineplot(data=df_receiver_country_by_month, x='Date', y='unique receiver countries',\n",
    "             label='Unique receiver countries', marker='o')\n",
    "\n",
    "# Plot the number of unique initiator countries\n",
    "sns.lineplot(data=df_initiator_country_by_month, x='Date', y='unique initiator countries',\n",
    "             label='Unique initiator countries', marker='o')\n",
    "\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Number of unique countries attacked each month')\n",
    "\n",
    "plt.style.use('cyberpunk')\n",
    "mplcyberpunk.make_lines_glow(diff_linewidth=0.5)\n",
    "mplcyberpunk.add_gradient_fill(alpha_gradientglow=0.9)\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert 'Date' column to timestamp, and then to datetime\n",
    "df_receiver_country_by_year['Date'] = df_receiver_country_by_year['Date'].dt.to_timestamp()\n",
    "df_initiator_country_by_year['Date'] = df_initiator_country_by_year['Date'].dt.to_timestamp()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a subset of receiver and initiator country data from 2013-01 to 2023-01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_receiver_filtred = df_receiver_country_by_month[(df_receiver_country_by_month['Date'] >= '2013-01')\n",
    "                                                    & (df_receiver_country_by_month['Date'] <= '2023-01')]\n",
    "df_initiator_filtred = df_initiator_country_by_month[(df_initiator_country_by_month['Date'] >= '2013-01')\n",
    "                                                    & (df_initiator_country_by_month['Date'] <= '2023-01')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Resample receiver and initiator country data to monthly frequency and sum the values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_receiver_filtred = df_receiver_filtred.copy()  # Create a copy of the DataFrame\n",
    "df_receiver_filtred['Date'] = pd.to_datetime(df_receiver_filtred['Date'])\n",
    "df_receiver_filtred.set_index('Date', inplace=True)\n",
    "\n",
    "df_resampled_receiver = df_receiver_filtred.resample('M').sum()\n",
    "\n",
    "df_initiator_filtred = df_initiator_filtred.copy()  # Create a copy of the DataFrame\n",
    "df_initiator_filtred['Date'] = pd.to_datetime(df_initiator_filtred['Date'])\n",
    "df_initiator_filtred.set_index('Date', inplace=True)\n",
    "\n",
    "df_resampled_initiator = df_initiator_filtred.resample('M').sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot trends in attack types and count of unique receiver and initiator countries attacked in last 10 years.\n",
    "* The number of counties attacked in January used to be significantly higher than in any other month. It is not surprising—the holiday season is a prime time for cyberattacks as consumers and businesses are distracted and vulnerable: [Cyber Attacks During Holidays: Why the Spike?](https://thrivedx.com/resources/article/cyber-attacks-during-holidays).\n",
    "* However, the frequency of attacks is no longer predictable, and the peak in January is no longer significant compared to the period before 2021."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "# Plot the number of unique receiver countries\n",
    "sns.lineplot(data=df_receiver_filtred, x='Date', y='unique receiver countries',\n",
    "             label='Unique receiver countries', marker='o')\n",
    "\n",
    "# Plot the number of unique initiator countries\n",
    "sns.lineplot(data=df_initiator_filtred, x='Date', y='unique initiator countries',\n",
    "             label='Unique initiator countries', marker='o')\n",
    "\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Number of unique countries attacked each month')\n",
    "\n",
    "plt.legend()\n",
    "mplcyberpunk.make_lines_glow(diff_linewidth=0.5)\n",
    "mplcyberpunk.add_gradient_fill(alpha_gradientglow=0.9)\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the number of unique receiver and initiator countries attacked each year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "# Plot the number of unique receiver countries\n",
    "sns.lineplot(data=df_receiver_country_by_year, x='Date', y='unique receiver countries',\n",
    "             label='Unique receiver countries', marker='o')\n",
    "\n",
    "# Plot the number of unique initiator countries\n",
    "sns.lineplot(data=df_initiator_country_by_year, x='Date', y='unique initiator countries',\n",
    "             label='Unique initiator countries', marker='o')\n",
    "\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Number of unique countries attacked each year')\n",
    "\n",
    "plt.legend()\n",
    "mplcyberpunk.make_lines_glow(diff_linewidth=0.5)\n",
    "mplcyberpunk.add_gradient_fill(alpha_gradientglow=0.9)\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Duration of attacks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_duration = df_data_eu[['start_date', 'end_date', 'name', 'description']]\n",
    "df_duration = df_duration.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert columns to a period column with daily frequency\n",
    "df_duration['start_date'] = pd.to_datetime(df_duration['start_date']).dt.to_period('D')\n",
    "df_duration['end_date'] = pd.to_datetime(df_duration['end_date']).dt.to_period('D')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert 'start_date' and 'end_date' columns to timestamp\n",
    "df_duration['start_date'] = df_duration['start_date'].dt.to_timestamp()\n",
    "df_duration['end_date'] = df_duration['end_date'].dt.to_timestamp()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate duration, rearrange columns, and filter data\n",
    "df_duration['duration'] = ((df_duration['end_date'] - df_duration['start_date']).dt.days + 1)\n",
    "column_order = ['start_date', 'end_date','duration', 'name', 'description']\n",
    "df_duration = df_duration[column_order]\n",
    "\n",
    "# Sort and filter data by date difference\n",
    "df_duration = df_duration.sort_values(by='duration')\n",
    "df_duration = df_duration[df_duration['duration'] > 0].sort_values(by='duration', ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Filter the data to exclude instances where the date difference is greater than 365 days, as it is likely an error in the assignment of end dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    duration  count\n",
      "0          1    527\n",
      "1          2     32\n",
      "28        32     21\n",
      "2          3     15\n",
      "37        62      9\n",
      "..       ...    ...\n",
      "39        74      1\n",
      "14        15      1\n",
      "38        63      1\n",
      "59       173      1\n",
      "82       336      1\n",
      "\n",
      "[83 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "df_duration = df_duration[df_duration['duration'] < 365]\n",
    "df_duration_grouped = df_duration.groupby('duration').size().reset_index(name='count')\n",
    "print(df_duration_grouped.sort_values(by='count', ascending=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* There are 527 instances with a 1-day difference, 32 instances with a 2-day difference, 21 instances with a 32-day difference, 15 instances with a 3-day difference, and 9 instances with a 62-day difference.\n",
    "* Additionally, the instances with a 32-day and 62-day difference might also be associated with potential issues related to incorrectly assigned months."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(df_duration_grouped['duration'], df_duration_grouped['count'], log=True)\n",
    "\n",
    "for i, (group, value) in enumerate(zip(df_duration_grouped['duration'], df_duration_grouped['count'])):\n",
    "    if value > 10:\n",
    "        plt.text(i, value, str(value), ha='left', va='bottom', color='m', weight='bold')\n",
    "\n",
    "plt.yscale('log')  # Set log scale on the y-axis\n",
    "plt.title('Count of number of attacks for each duration group (log scale)')\n",
    "plt.xlabel('Duration (days)')\n",
    "plt.ylabel('Log Count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Description of attacks with duration longer than 50 days\n",
    "* It seems that most of the dates start with the 1st day of the month, indicating that when the exact day is unknown, it is very likely that the first day of the month is set as the start day."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_1843f\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_1843f_level0_col0\" class=\"col_heading level0 col0\" >start_date</th>\n",
       "      <th id=\"T_1843f_level0_col1\" class=\"col_heading level0 col1\" >duration</th>\n",
       "      <th id=\"T_1843f_level0_col2\" class=\"col_heading level0 col2\" >name</th>\n",
       "      <th id=\"T_1843f_level0_col3\" class=\"col_heading level0 col3\" >description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row0_col0\" class=\"data row0 col0\" >2016-02-01</td>\n",
       "      <td id=\"T_1843f_row0_col1\" class=\"data row0 col1\" >336</td>\n",
       "      <td id=\"T_1843f_row0_col2\" class=\"data row0 col2\" >WhiteBear project by Turla</td>\n",
       "      <td id=\"T_1843f_row0_col3\" class=\"data row0 col3\" >WhiteBear, a project related to Turla, spied on embassies and consulates worldwide.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row1_col0\" class=\"data row1 col0\" >2018-01-01</td>\n",
       "      <td id=\"T_1843f_row1_col1\" class=\"data row1 col1\" >335</td>\n",
       "      <td id=\"T_1843f_row1_col2\" class=\"data row1 col2\" >North Korean Defectors Hack</td>\n",
       "      <td id=\"T_1843f_row1_col3\" class=\"data row1 col3\" >The South Korean Resettlement Agency was hacked, and some hundred sets of personal data of North Korean refugees were leaked</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row2_col0\" class=\"data row2 col0\" >2017-01-01</td>\n",
       "      <td id=\"T_1843f_row2_col1\" class=\"data row2 col1\" >335</td>\n",
       "      <td id=\"T_1843f_row2_col2\" class=\"data row2 col2\" >\"Operation/Group Rancor\"</td>\n",
       "      <td id=\"T_1843f_row2_col3\" class=\"data row2 col3\" >The RANCOR APT  group has been targeting political entities in Singapore, Cambodia, and Thailand, and likely in other countries, using two previously unknown strain of malware. The two malware families were tracked as DDKONG and PLAINTEE. The group might be related to the Chinese-based group DragonOk.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row3_col0\" class=\"data row3 col0\" >2015-01-01</td>\n",
       "      <td id=\"T_1843f_row3_col1\" class=\"data row3 col1\" >335</td>\n",
       "      <td id=\"T_1843f_row3_col2\" class=\"data row3 col2\" >Australia's Bureau of Meteorology Attack 2015</td>\n",
       "      <td id=\"T_1843f_row3_col3\" class=\"data row3 col3\" >Probably Chinese Spies leaked sensitive Data of Australias govermental systems</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row4_col0\" class=\"data row4 col0\" >2017-01-01</td>\n",
       "      <td id=\"T_1843f_row4_col1\" class=\"data row4 col1\" >335</td>\n",
       "      <td id=\"T_1843f_row4_col2\" class=\"data row4 col2\" >\"Bundeshack\"</td>\n",
       "      <td id=\"T_1843f_row4_col3\" class=\"data row4 col3\" >The russia APT Turla attacked the German government, after Fancy Bear was the suspect at the beginning of the investigation.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row5_col0\" class=\"data row5 col0\" >2017-01-01</td>\n",
       "      <td id=\"T_1843f_row5_col1\" class=\"data row5 col1\" >335</td>\n",
       "      <td id=\"T_1843f_row5_col2\" class=\"data row5 col2\" >\"Operation PZChao\"</td>\n",
       "      <td id=\"T_1843f_row5_col3\" class=\"data row5 col3\" >\"Operation PZChao\" targets US and Asian organisations with cyber-attacks reminiscent of Iron Tiger - but this time with the ability to drop trojans, conduct espionage, and mine bitcoin. Researchers spectaculate that the same Chinese-based APT (APT27 aka Emissary Panda) as in the Iron Tiger operation takes part in the new project but this is not proven yet.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row6_col0\" class=\"data row6 col0\" >2017-03-01</td>\n",
       "      <td id=\"T_1843f_row6_col1\" class=\"data row6 col1\" >306</td>\n",
       "      <td id=\"T_1843f_row6_col2\" class=\"data row6 col2\" >DarkHydrusin 2017</td>\n",
       "      <td id=\"T_1843f_row6_col3\" class=\"data row6 col3\" >The hacker group DarkHydrusaka Copy Kittenaka LazyMeerkat in 2017 mainly hacked the governmental and educational sector of different Middle East countries. The hacks are mainly harvesting attacks.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row7_col0\" class=\"data row7 col0\" >2019-01-01</td>\n",
       "      <td id=\"T_1843f_row7_col1\" class=\"data row7 col1\" >305</td>\n",
       "      <td id=\"T_1843f_row7_col2\" class=\"data row7 col2\" >Turlas New Waterhole</td>\n",
       "      <td id=\"T_1843f_row7_col3\" class=\"data row7 col3\" >Turla created a watering hole, with which they managed to compromise various Armenian web pages</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row8_col0\" class=\"data row8 col0\" >2021-01-01</td>\n",
       "      <td id=\"T_1843f_row8_col1\" class=\"data row8 col1\" >305</td>\n",
       "      <td id=\"T_1843f_row8_col2\" class=\"data row8 col2\" >Police surveillance footage leak</td>\n",
       "      <td id=\"T_1843f_row8_col3\" class=\"data row8 col3\" >The transparency collective Distributed Denial of Secrets ( DDoSecrets ) released more than 600 hours of aerial surveillance footage of police in Texas and Georgia in November 2021 after the group obtained it through an unknown source. Three months earlier, it was revealed that Dallas police lost 22 terabytes of case data and recovered only 14 terabytes.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row9_col0\" class=\"data row9 col0\" >2015-01-01</td>\n",
       "      <td id=\"T_1843f_row9_col1\" class=\"data row9 col1\" >305</td>\n",
       "      <td id=\"T_1843f_row9_col2\" class=\"data row9 col2\" >Conflict around South Chinese Sea</td>\n",
       "      <td id=\"T_1843f_row9_col3\" class=\"data row9 col3\" >Nanhaishu hackers target Philippine Justice Department, APE Cand intl. Lawfirm, all involved in South China Sea dispute</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row10_col0\" class=\"data row10 col0\" >2017-02-01</td>\n",
       "      <td id=\"T_1843f_row10_col1\" class=\"data row10 col1\" >304</td>\n",
       "      <td id=\"T_1843f_row10_col2\" class=\"data row10 col2\" >Muddy Water</td>\n",
       "      <td id=\"T_1843f_row10_col3\" class=\"data row10 col3\" >Researchers from Palo Alto Networks' Unit 42 reveal the details of Muddy Water, a campaign carried on by a politically-motivated actor targeting Middle Eastern nations. Reaqta links the campaign to Iran as the geographical origin.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row11_col0\" class=\"data row11 col0\" >2017-02-01</td>\n",
       "      <td id=\"T_1843f_row11_col1\" class=\"data row11 col1\" >304</td>\n",
       "      <td id=\"T_1843f_row11_col2\" class=\"data row11 col2\" >\"Operation Honeybee\"</td>\n",
       "      <td id=\"T_1843f_row11_col3\" class=\"data row11 col3\" >McAfee Advanced Threat Research analysts have discovered a new operation targeting humanitarian aid organizations and using North Korean political topics as bait to lure victims into opening malicious Microsoft Word documents. The Analysts of McAfee have named this Operation Honeybee, based on the names of the malicious documents used in the attacks.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row12_col0\" class=\"data row12 col0\" >2021-06-01</td>\n",
       "      <td id=\"T_1843f_row12_col1\" class=\"data row12 col1\" >302</td>\n",
       "      <td id=\"T_1843f_row12_col2\" class=\"data row12 col2\" >APT36 use various malware against Indian govt employees in an extended campaign - 2021</td>\n",
       "      <td id=\"T_1843f_row12_col3\" class=\"data row12 col3\" >A new campaign from the hacking group tracked as APT36, aka 'Transparent Tribe' or' Mythic Leopard,' has been discovered using new custom malware and entry vectors in attacks against the Indian government. The threat actors are known to utilize their malware of choice, CrimsonRAT (remote access trojan), during this campaign, in addition to new malware as they use various initial entry mechanisms in an attempt to diversify, remain undetected, and gain access to further systems. According to Cisco Talos, the campaign has been documented since June 2021 and uses inauthentic domains that mimic authentic government and government-related domains. \"Notably, the adversary has moved towards deploying small, bespoke stagers and downloaders that can be easily modified, likely to enable quick and agile operations.\" It is suspected that the APT36 threat actors are Pakistan-linked since they are known to specifically target government- and military-associated persons and entities. The Windows-based malware that the threat actors are known to use are: CrimsonRAT, ObliqueRAT, and customized malware.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row13_col0\" class=\"data row13 col0\" >2021-05-01</td>\n",
       "      <td id=\"T_1843f_row13_col1\" class=\"data row13 col1\" >277</td>\n",
       "      <td id=\"T_1843f_row13_col2\" class=\"data row13 col2\" >U.S. State Governments Targeted by Chinese Hackers via Zero-Day in Agriculture Tool</td>\n",
       "      <td id=\"T_1843f_row13_col3\" class=\"data row13 col3\" >A threat group believed to be sponsored by the Chinese government has breached the networks of U.S. state governments, including through the exploitation of a zero-day vulnerability.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row14_col0\" class=\"data row14 col0\" >2008-06-01</td>\n",
       "      <td id=\"T_1843f_row14_col1\" class=\"data row14 col1\" >274</td>\n",
       "      <td id=\"T_1843f_row14_col2\" class=\"data row14 col2\" >GhostNet</td>\n",
       "      <td id=\"T_1843f_row14_col3\" class=\"data row14 col3\" >Chinese hacker network GhostNet steals information from South and South East Asian government servers and from the Office of the Dalai Lama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row15_col0\" class=\"data row15 col0\" >2022-01-01</td>\n",
       "      <td id=\"T_1843f_row15_col1\" class=\"data row15 col1\" >248</td>\n",
       "      <td id=\"T_1843f_row15_col2\" class=\"data row15 col2\" >Russian spies are suspected of hacking into the personal phone of former british prime minister Liz Truss</td>\n",
       "      <td id=\"T_1843f_row15_col3\" class=\"data row15 col3\" >Russian spies are suspected of having hacked into the personal phone of former British Prime Minister Liz Truss while she was serving as Foreign Secretary, according to anonymous sources cited by The Mail on Sunday. \n",
       "The incident was discovered during the Conservative Party leadership election that ran from13 July to 5 September 2022, following the resignation of then British Prime Minister Boris Johnson. Johnson and Cabinet Secretary Simon Case were immediately informed and decided to keep the incident secret. \n",
       "The attackers are believed to have gained access to top-secret exchanges with key international partners as well as private conversations concerning arm shipments to Ukraine and disputes within the Conservative Party.\n",
       "Earlier, on 1 October, The Mail on Sunday reported that the phone number in use by Ms. Truss at the time of the compromise had been listed by a US-registered website aggregating stolen personal information that is accessible for as little as £6.49. The database also included the phone numbers of 25 other UK cabinet ministers.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row16_col0\" class=\"data row16 col0\" >2020-05-01</td>\n",
       "      <td id=\"T_1843f_row16_col1\" class=\"data row16 col1\" >246</td>\n",
       "      <td id=\"T_1843f_row16_col2\" class=\"data row16 col2\" >SparklingGoblin</td>\n",
       "      <td id=\"T_1843f_row16_col3\" class=\"data row16 col3\" >While investigating a Winnti Group campaign, ESET finds a group, SparklingGoblin, that is affiliated with the Winnti Group but has a different modus operandi. The APT has a wide range of targets in North America, but also in Asia.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row17_col0\" class=\"data row17 col0\" >2016-05-01</td>\n",
       "      <td id=\"T_1843f_row17_col1\" class=\"data row17 col1\" >246</td>\n",
       "      <td id=\"T_1843f_row17_col2\" class=\"data row17 col2\" >Netrepser</td>\n",
       "      <td id=\"T_1843f_row17_col3\" class=\"data row17 col3\" >A complex, targeted malware framework that, unlike a military-grade APT, is“ stitched together” with freeware utilities in order to spy on more than 500 government agencies and organizations worldwide.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row18_col0\" class=\"data row18 col0\" >2011-06-01</td>\n",
       "      <td id=\"T_1843f_row18_col1\" class=\"data row18 col1\" >246</td>\n",
       "      <td id=\"T_1843f_row18_col2\" class=\"data row18 col2\" >Syria information war</td>\n",
       "      <td id=\"T_1843f_row18_col3\" class=\"data row18 col3\" >Release of dozens of revealing Syrian messages points to a newer a of information warfare</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row19_col0\" class=\"data row19 col0\" >2015-05-01</td>\n",
       "      <td id=\"T_1843f_row19_col1\" class=\"data row19 col1\" >246</td>\n",
       "      <td id=\"T_1843f_row19_col2\" class=\"data row19 col2\" >Operation DustySky Part 1</td>\n",
       "      <td id=\"T_1843f_row19_col3\" class=\"data row19 col3\" >Espionage campaign by the MoleRATs Group (also known as the Gaza Cybergang Group), an Arabic-speaking, politically motivated group that has been operating in the Middle East since 2012.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row20_col0\" class=\"data row20 col0\" >2016-01-01</td>\n",
       "      <td id=\"T_1843f_row20_col1\" class=\"data row20 col1\" >245</td>\n",
       "      <td id=\"T_1843f_row20_col2\" class=\"data row20 col2\" >Oplan 5027 breach</td>\n",
       "      <td id=\"T_1843f_row20_col3\" class=\"data row20 col3\" >North Korean Hackers hacked south-Korean government servers, accessing details about an warplan concerning a conventional first-strike of North Korea against South Korea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row21_col0\" class=\"data row21 col0\" >2017-04-01</td>\n",
       "      <td id=\"T_1843f_row21_col1\" class=\"data row21 col1\" >245</td>\n",
       "      <td id=\"T_1843f_row21_col2\" class=\"data row21 col2\" >APT28 Operation Dealer`s Choice - 2017</td>\n",
       "      <td id=\"T_1843f_row21_col3\" class=\"data row21 col3\" >APT28 targeted primarily NATO Countries as well as Ukraine (among others) in a spearphishing campaign.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row22_col0\" class=\"data row22 col0\" >2012-01-01</td>\n",
       "      <td id=\"T_1843f_row22_col1\" class=\"data row22 col1\" >245</td>\n",
       "      <td id=\"T_1843f_row22_col2\" class=\"data row22 col2\" >Belgian MFA hacked</td>\n",
       "      <td id=\"T_1843f_row22_col3\" class=\"data row22 col3\" >Belgium’s Ministry of Foreign Affairs Hacked, Foreign Policy Data Leaked</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row23_col0\" class=\"data row23 col0\" >2016-07-01</td>\n",
       "      <td id=\"T_1843f_row23_col1\" class=\"data row23 col1\" >216</td>\n",
       "      <td id=\"T_1843f_row23_col2\" class=\"data row23 col2\" >Russia/Belarus-Aerospace Chinese Hack</td>\n",
       "      <td id=\"T_1843f_row23_col3\" class=\"data row23 col3\" >According to the firm ProofPoint, Chinese state-sponsored actors continues to spy on military and aerospace organizations in Russia and Belarus.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row24_col0\" class=\"data row24 col0\" >2020-06-01</td>\n",
       "      <td id=\"T_1843f_row24_col1\" class=\"data row24 col1\" >215</td>\n",
       "      <td id=\"T_1843f_row24_col2\" class=\"data row24 col2\" >Hacked Pulse Secure devises</td>\n",
       "      <td id=\"T_1843f_row24_col3\" class=\"data row24 col3\" >CISA issued a report warning about malware found on Pulse Secure devises. The threat actor is still unknown, but has been active since at least June 2020 and targets U.S. government agencies, critical infrastructure entities, and other private sector organizations.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row25_col0\" class=\"data row25 col0\" >2018-03-01</td>\n",
       "      <td id=\"T_1843f_row25_col1\" class=\"data row25 col1\" >215</td>\n",
       "      <td id=\"T_1843f_row25_col2\" class=\"data row25 col2\" >Rancor Phishing</td>\n",
       "      <td id=\"T_1843f_row25_col3\" class=\"data row25 col3\" >The Chinese threatactor Rancor accessed cambodian government networks via an spearphishing campaign</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row26_col0\" class=\"data row26 col0\" >2021-06-01</td>\n",
       "      <td id=\"T_1843f_row26_col1\" class=\"data row26 col1\" >215</td>\n",
       "      <td id=\"T_1843f_row26_col2\" class=\"data row26 col2\" >Chinese APT Group BRONZE STARLIGHT using ransomware to mask IP theft since mid-2021</td>\n",
       "      <td id=\"T_1843f_row26_col3\" class=\"data row26 col3\" >Since mid-2021, the state-sponsored Chinese APT Group BRONZE STARLIGHT has engaged in a campaign of deploying ransomware in an effort to conceal the theft of steal strategic intellectual property. Targeted organizations, including semiconductor companies, largely operate in sectors that align with China's industrial priorities. In what appears to be a bid to avoid attention, the group has limited targeting to a few select organizations at a time and frequently moved on to new ransomware families. The group seeks to leverage unmitigated vulnerabilities, such as Log4j 2, that enable it to establish access and escalate privileges during early phases of an intrusion.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row27_col0\" class=\"data row27 col0\" >2012-02-01</td>\n",
       "      <td id=\"T_1843f_row27_col1\" class=\"data row27 col1\" >214</td>\n",
       "      <td id=\"T_1843f_row27_col2\" class=\"data row27 col2\" >Mofang_ShimRat</td>\n",
       "      <td id=\"T_1843f_row27_col3\" class=\"data row27 col3\" >A threatgroup called \"Mofang\" believed to be affiliated with  the Chinese government has been conducting cyberespionage operations against Myanmar and other countries for economic gain, using the malware\"ShimRat\".</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row28_col0\" class=\"data row28 col0\" >2019-12-01</td>\n",
       "      <td id=\"T_1843f_row28_col1\" class=\"data row28 col1\" >214</td>\n",
       "      <td id=\"T_1843f_row28_col2\" class=\"data row28 col2\" >Seedworm</td>\n",
       "      <td id=\"T_1843f_row28_col3\" class=\"data row28 col3\" >Iranian hacking group Seedworm/MuddyWater hacked into government entities and telecommunications operators in Iraq, Kuwait, Turkey, ARE and Georgia as part of a cyber espionage campaign.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row29_col0\" class=\"data row29 col0\" >2015-12-01</td>\n",
       "      <td id=\"T_1843f_row29_col1\" class=\"data row29 col1\" >214</td>\n",
       "      <td id=\"T_1843f_row29_col2\" class=\"data row29 col2\" >Monsoon espionage campaign</td>\n",
       "      <td id=\"T_1843f_row29_col3\" class=\"data row29 col3\" >The indian hacking group \"Monsoon/ Patchwork\" conducted an espionage campaign on Chinese nationals within different industries and government agencies in Southern Asia in order to steal sensitive data.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row30_col0\" class=\"data row30 col0\" >2020-08-01</td>\n",
       "      <td id=\"T_1843f_row30_col1\" class=\"data row30 col1\" >213</td>\n",
       "      <td id=\"T_1843f_row30_col2\" class=\"data row30 col2\" >Pulse Secure VPN: UNC2630</td>\n",
       "      <td id=\"T_1843f_row30_col3\" class=\"data row30 col3\" >Chinese state-sponsored groups UNC2630 and APT5 attacked targets in the US and Europe, focused on US Defense Industrial base (DIB) networks.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row31_col0\" class=\"data row31 col0\" >2021-01-01</td>\n",
       "      <td id=\"T_1843f_row31_col1\" class=\"data row31 col1\" >213</td>\n",
       "      <td id=\"T_1843f_row31_col2\" class=\"data row31 col2\" >AR Bunse</td>\n",
       "      <td id=\"T_1843f_row31_col3\" class=\"data row31 col3\" >A single threat actor used the Pakistani front company Bunse Technologies to send malware to targets in Afghanistan and India using RTF documents with political and governmental themes. They also exploited the CVE-2017-11882 vulnerability and targeted mobile devices.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row32_col0\" class=\"data row32 col0\" >2019-01-01</td>\n",
       "      <td id=\"T_1843f_row32_col1\" class=\"data row32 col1\" >196</td>\n",
       "      <td id=\"T_1843f_row32_col2\" class=\"data row32 col2\" >National Revenue Agency hack</td>\n",
       "      <td id=\"T_1843f_row32_col3\" class=\"data row32 col3\" >A Hacker steals data of millions of Bulgarians from the National Revenue Agency, a department of the Bulgarian Ministry of Finance.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row33_col0\" class=\"data row33 col0\" >2022-04-01</td>\n",
       "      <td id=\"T_1843f_row33_col1\" class=\"data row33 col1\" >196</td>\n",
       "      <td id=\"T_1843f_row33_col2\" class=\"data row33 col2\" >State-sponsored Chinese hacker group Budworm gained access to networks of targets in the US, Middle East and Southeast Asia since April 2022</td>\n",
       "      <td id=\"T_1843f_row33_col3\" class=\"data row33 col3\" >State-sponsored Chinese hacker group Budworm gained access to networks of a Middle Eastern government, a multinational electronics manufacturer, a US state legislature, and a hospital in Southeast Asia from April 2022 to October 2022, according to IT company Symantec. </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row34_col0\" class=\"data row34 col0\" >2018-03-01</td>\n",
       "      <td id=\"T_1843f_row34_col1\" class=\"data row34 col1\" >194</td>\n",
       "      <td id=\"T_1843f_row34_col2\" class=\"data row34 col2\" >LuckyMouse APT  aka Emissary Panda aka APT 27</td>\n",
       "      <td id=\"T_1843f_row34_col3\" class=\"data row34 col3\" >KasperskyLab discovers several infections from a previously unknown Trojan, likely related to the infamous Chinese-speaking threat actor–LuckyMouse. The most peculiar trait of this malware is its driver, signed with a legitimate digital certificate.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row35_col0\" class=\"data row35 col0\" >2022-02-27</td>\n",
       "      <td id=\"T_1843f_row35_col1\" class=\"data row35 col1\" >187</td>\n",
       "      <td id=\"T_1843f_row35_col2\" class=\"data row35 col2\" >Witchetty targeted governments and a stock market exchange in the Middle East and Africa between February and September 2022</td>\n",
       "      <td id=\"T_1843f_row35_col3\" class=\"data row35 col3\" >The espionage group Witchetty (LookingFrog) targeted governments and a stock exchange in the Middle East and Africa between February and September 2022. They also exploited the ProxyShell and ProxyLogon vulnerabilities and used new tools such as a backdoor Trojan. The goal is a permanent presence in the targets' networks.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row36_col0\" class=\"data row36 col0\" >2012-01-01</td>\n",
       "      <td id=\"T_1843f_row36_col1\" class=\"data row36 col1\" >187</td>\n",
       "      <td id=\"T_1843f_row36_col2\" class=\"data row36 col2\" >Wikileaks leaks US Info</td>\n",
       "      <td id=\"T_1843f_row36_col3\" class=\"data row36 col3\" >WikiLeaks to release two million ‘humiliating’ hacked Syrian government emails</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row37_col0\" class=\"data row37 col0\" >2022-03-01</td>\n",
       "      <td id=\"T_1843f_row37_col1\" class=\"data row37 col1\" >185</td>\n",
       "      <td id=\"T_1843f_row37_col2\" class=\"data row37 col2\" >Suspected Chinese state-sponsored hacking group APT10 targeted Japanese media and government organizations with LODEINFO backdoor beginning in March 2022</td>\n",
       "      <td id=\"T_1843f_row37_col3\" class=\"data row37 col3\" >Suspected chinese state-sponsored hacking group APT10 was observed abusing antivirus software to install a new version of LODEINFO malware on devices used by Japanese media groups, diplomatic agencies, government and public sector organizations and think tanks from March to September 2022, detected by IT-security company Kaspersky. APT 10 has targeted Japanese organizations since 2019 in a cyberespionage campaign, according to Kaspersky.\n",
       "</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row38_col0\" class=\"data row38 col0\" >2004-07-01</td>\n",
       "      <td id=\"T_1843f_row38_col1\" class=\"data row38 col1\" >185</td>\n",
       "      <td id=\"T_1843f_row38_col2\" class=\"data row38 col2\" >Athens Affair</td>\n",
       "      <td id=\"T_1843f_row38_col3\" class=\"data row38 col3\" >Vodafone Greeces services were hacked by an group, later attributed to the American NSA. They wiretapped the phones of parts of the greek government and of greek civil society for 5 months, via the \"lawful intercept\" system of Vodafone.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row39_col0\" class=\"data row39 col0\" >2017-05-01</td>\n",
       "      <td id=\"T_1843f_row39_col1\" class=\"data row39 col1\" >185</td>\n",
       "      <td id=\"T_1843f_row39_col2\" class=\"data row39 col2\" >OceanLotus vs. Asean</td>\n",
       "      <td id=\"T_1843f_row39_col3\" class=\"data row39 col3\" >OceanLotus accessed networks of local SEA governments, to use the mass taging points against the local organisation ASEAN.In the same campaign attacks were started against local humanrights defenders</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row40_col0\" class=\"data row40 col0\" >2008-04-01</td>\n",
       "      <td id=\"T_1843f_row40_col1\" class=\"data row40 col1\" >184</td>\n",
       "      <td id=\"T_1843f_row40_col2\" class=\"data row40 col2\" >Byzantine Candor</td>\n",
       "      <td id=\"T_1843f_row40_col3\" class=\"data row40 col3\" >More than 50 megabytes of email messages and a complete list of user names and passwords from an unspecified US government agency were stolen according to a State Department cable made public by WikiLeaks. At least some of the attacks originated from a Shanghai-based hacker group linked to the People’s Liberation Army’s Third Department</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row41_col0\" class=\"data row41 col0\" >2016-12-01</td>\n",
       "      <td id=\"T_1843f_row41_col1\" class=\"data row41 col1\" >183</td>\n",
       "      <td id=\"T_1843f_row41_col2\" class=\"data row41 col2\" >Hacking-for-Hire group Bahamut aka \"The White Company\" spied on various targets in the Middle East from December 2016 until June 2017</td>\n",
       "      <td id=\"T_1843f_row41_col3\" class=\"data row41 col3\" >The hacking-for-hire group Bahamut aka \"The White Company\" spied on diverse political, economic, and social sectors in the Middle East since December 2016, with specifically crafted phishing attacks and highly-sophisticated malware, according to Bellingcat researchers. The group seems to work for multiple state-sponsors according to the wide-ranging victomology, including actors from Egypt, Iran, Palestine, Turkey, Tunisia, and the United Arab Emirates. According to a second report from Bellingcat, the group stopped those attacks after its public exposure in June 2017, but soon continued its operations. (See incident \"In September 2017, Bahamut aka \"The White Company\" resumed its espionage, focusing on South Asia and the Middle East\"). \n",
       "Bellingcat also identified connections to an operation disclosed by Amnesty International, called \"Kingphish\".</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row42_col0\" class=\"data row42 col0\" >2021-01-01</td>\n",
       "      <td id=\"T_1843f_row42_col1\" class=\"data row42 col1\" >182</td>\n",
       "      <td id=\"T_1843f_row42_col2\" class=\"data row42 col2\" >LINE hack</td>\n",
       "      <td id=\"T_1843f_row42_col3\" class=\"data row42 col3\" >The Liberty Times news agency reports a hack on the instant messaging platform LINE in which the accounts of more than 100 Taiwanese politicians, military personnel, county mayors and political and opposition parties were attacked. In the process, the encryption function to protect messages was disabled for those affected.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row43_col0\" class=\"data row43 col0\" >2021-01-01</td>\n",
       "      <td id=\"T_1843f_row43_col1\" class=\"data row43 col1\" >182</td>\n",
       "      <td id=\"T_1843f_row43_col2\" class=\"data row43 col2\" >Belarusian Cyber Partisans: Data hacked and leaked - 2021</td>\n",
       "      <td id=\"T_1843f_row43_col3\" class=\"data row43 col3\" >A Belarusian hacking group called Cyberpartians has hacked the country's passport system and obtained data on millions of Belarusians, including high-profile figures. Also, data was published confirming that the COVID-19 death rate was in reality 14 times higher than reported by the authorities. Within the following weeks, the group publishes large portions of the stolen data, claiming that it is intended to overthrow Lukashenko's regime.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row44_col0\" class=\"data row44 col0\" >2021-02-01</td>\n",
       "      <td id=\"T_1843f_row44_col1\" class=\"data row44 col1\" >182</td>\n",
       "      <td id=\"T_1843f_row44_col2\" class=\"data row44 col2\" >TAG-28 vs. Indian agencies</td>\n",
       "      <td id=\"T_1843f_row44_col3\" class=\"data row44 col3\" >The state-sponsored Chinese group TAG-28 used the Winnti malware to target the media conglomerate Bennett Coleman And Co Ltd (BCCL), the Unique Identification Authority of India (UIDAI) and the Madhya Pradesh Police and exfiltrated data. The IT company Recorded Future draws parallels to the border conflicts between India and Pakistan.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row45_col0\" class=\"data row45 col0\" >2006-06-08</td>\n",
       "      <td id=\"T_1843f_row45_col1\" class=\"data row45 col1\" >177</td>\n",
       "      <td id=\"T_1843f_row45_col2\" class=\"data row45 col2\" >BND vs. Spiegel & Afghan Minister</td>\n",
       "      <td id=\"T_1843f_row45_col3\" class=\"data row45 col3\" >The German BND spied on the email conversation between an Afghani minister and a German Spiegel Journalist.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row46_col0\" class=\"data row46 col0\" >2021-03-01</td>\n",
       "      <td id=\"T_1843f_row46_col1\" class=\"data row46 col1\" >173</td>\n",
       "      <td id=\"T_1843f_row46_col2\" class=\"data row46 col2\" >Mustang Panda vs. Indonesian government agencies</td>\n",
       "      <td id=\"T_1843f_row46_col3\" class=\"data row46 col3\" >At least ten Indonesian government ministries and agencies, as well as the intelligence service Badan Intelijen Negara (BIN), were attacked by the Chinese hacking group Mustang Panda, according to the Record. Indonesian authorities, however, denied that the BIN was the victim of an attack in response to the report.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row47_col0\" class=\"data row47 col0\" >2011-06-20</td>\n",
       "      <td id=\"T_1843f_row47_col1\" class=\"data row47 col1\" >165</td>\n",
       "      <td id=\"T_1843f_row47_col2\" class=\"data row47 col2\" >Operation AntiSec</td>\n",
       "      <td id=\"T_1843f_row47_col3\" class=\"data row47 col3\" >As part of Operation AntiSec, the related hackergroups Anonymous and LulzSec deface several websites with their logo and political messages, including the websites of the British newspaper The Sun, of the Australian Casino, Liquor and Gaming Control Authority, of an Italian Prison Agency and of several Turkish businesses and governmental websites.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row48_col0\" class=\"data row48 col0\" >2011-06-20</td>\n",
       "      <td id=\"T_1843f_row48_col1\" class=\"data row48 col1\" >165</td>\n",
       "      <td id=\"T_1843f_row48_col2\" class=\"data row48 col2\" >Operation AntiSec</td>\n",
       "      <td id=\"T_1843f_row48_col3\" class=\"data row48 col3\" >As part of Operation AntiSec, the related hackergroups Anonymous and LulzSec hack several political and commercial entities and publish data, often times including confidential information. The hacked organisations include police and cyberterrorism agencies in the USA, Italy and Brazil, US government contractors and multinational businesses.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row49_col0\" class=\"data row49 col0\" >2011-06-20</td>\n",
       "      <td id=\"T_1843f_row49_col1\" class=\"data row49 col1\" >165</td>\n",
       "      <td id=\"T_1843f_row49_col2\" class=\"data row49 col2\" >Operation AntiSec</td>\n",
       "      <td id=\"T_1843f_row49_col3\" class=\"data row49 col3\" >As part of Operation AntiSec, the related hackergroups Anonymous and LulzSec take down several websites with DDoS attacks, including Tunisian, Turkish and Brazilian government websites and the websites of a US Court of Appeals, a  Chinese government district and the British Serious Organised CrimeAgency.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row50_col0\" class=\"data row50 col0\" >2022-07-01</td>\n",
       "      <td id=\"T_1843f_row50_col1\" class=\"data row50 col1\" >154</td>\n",
       "      <td id=\"T_1843f_row50_col2\" class=\"data row50 col2\" >Chinese APT Playful Taurus likely spied on Iranian Government Institutions in mid-to-late 2022</td>\n",
       "      <td id=\"T_1843f_row50_col3\" class=\"data row50 col3\" >Chinese APT Playful Taurus (aka APT15) was observed by Unit42 to be the likely attacker behind cyber espionage against Iranian government institutions, including the foreign ministry, and a natural resource organization. The operations is suspected to be part of a cyber espionage campaign against Iran, which intensified during July and December 2022, with initial infiltrations reaching back further.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row51_col0\" class=\"data row51 col0\" >2015-06-01</td>\n",
       "      <td id=\"T_1843f_row51_col1\" class=\"data row51 col1\" >154</td>\n",
       "      <td id=\"T_1843f_row51_col2\" class=\"data row51 col2\" >Trojan \"Bookworm\" vs. Thailand</td>\n",
       "      <td id=\"T_1843f_row51_col3\" class=\"data row51 col3\" >A trojan called \"Bookworm\" targeted the government of Thailand, in order to infiltrate its networks.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row52_col0\" class=\"data row52 col0\" >2021-03-01</td>\n",
       "      <td id=\"T_1843f_row52_col1\" class=\"data row52 col1\" >154</td>\n",
       "      <td id=\"T_1843f_row52_col2\" class=\"data row52 col2\" >ChamelGang</td>\n",
       "      <td id=\"T_1843f_row52_col3\" class=\"data row52 col3\" >The previously unknown APT ChamelGang targeted institutions, such as the government, aviation and energy sectors, of a total of ten countries in two attacks. The group disguised its malware and network infrastructure as legitimate domains, such as McAffee, Microsoft, or TrendMicro.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row53_col0\" class=\"data row53 col0\" >2019-08-01</td>\n",
       "      <td id=\"T_1843f_row53_col1\" class=\"data row53 col1\" >154</td>\n",
       "      <td id=\"T_1843f_row53_col2\" class=\"data row53 col2\" >Arid Viper: Phenakite</td>\n",
       "      <td id=\"T_1843f_row53_col3\" class=\"data row53 col3\" >Arid Viper attackes government officials, student groups, and security forces.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row54_col0\" class=\"data row54 col0\" >2019-09-01</td>\n",
       "      <td id=\"T_1843f_row54_col1\" class=\"data row54 col1\" >154</td>\n",
       "      <td id=\"T_1843f_row54_col2\" class=\"data row54 col2\" >Gamaredon</td>\n",
       "      <td id=\"T_1843f_row54_col3\" class=\"data row54 col3\" >The Russian state-sponsored APT Gamaredon started with attacks on various targets in the Ukraine, partly with the goal of data theft, partly with the goal of increasing its offensive capabilities.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row55_col0\" class=\"data row55 col0\" >2021-01-01</td>\n",
       "      <td id=\"T_1843f_row55_col1\" class=\"data row55 col1\" >153</td>\n",
       "      <td id=\"T_1843f_row55_col2\" class=\"data row55 col2\" >Mustang Panda hacked Myanmar president’s office</td>\n",
       "      <td id=\"T_1843f_row55_col3\" class=\"data row55 col3\" >Chinese state-sponsored group Mustang Panda hacked Myanmar president’s office in June 2021.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row56_col0\" class=\"data row56 col0\" >2012-01-01</td>\n",
       "      <td id=\"T_1843f_row56_col1\" class=\"data row56 col1\" >153</td>\n",
       "      <td id=\"T_1843f_row56_col2\" class=\"data row56 col2\" >Attack on Indian Navy</td>\n",
       "      <td id=\"T_1843f_row56_col3\" class=\"data row56 col3\" >China hackers enter Navy computers, plant bug to extract sensitive data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row57_col0\" class=\"data row57 col0\" >2020-10-01</td>\n",
       "      <td id=\"T_1843f_row57_col1\" class=\"data row57 col1\" >152</td>\n",
       "      <td id=\"T_1843f_row57_col2\" class=\"data row57 col2\" >Pulse Secure VPN: UNC2717</td>\n",
       "      <td id=\"T_1843f_row57_col3\" class=\"data row57 col3\" >UNC2717 attacked targets in the US and Europe, focused on US Defense Industrial base (DIB) networks.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row58_col0\" class=\"data row58 col0\" >2021-01-01</td>\n",
       "      <td id=\"T_1843f_row58_col1\" class=\"data row58 col1\" >152</td>\n",
       "      <td id=\"T_1843f_row58_col2\" class=\"data row58 col2\" >Triple Threat: TA406</td>\n",
       "      <td id=\"T_1843f_row58_col3\" class=\"data row58 col3\" >North korean state-sponsored hacking group TA406 or better known as Kimsuky targeted high-value targets in an espionage campaign mostly focused on credential harvesting. Besides that the north korean proxies used the stolen information to demand crypto money.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row59_col0\" class=\"data row59 col0\" >2018-01-01</td>\n",
       "      <td id=\"T_1843f_row59_col1\" class=\"data row59 col1\" >152</td>\n",
       "      <td id=\"T_1843f_row59_col2\" class=\"data row59 col2\" >Pentagon attacked by unknown hacker</td>\n",
       "      <td id=\"T_1843f_row59_col3\" class=\"data row59 col3\" >Roughly 30,000 DOD military and civilian personnel are believed to be affected by a cyberattack. A third-party contractor is compromised, granting the attackers access to the Pentagon network to steal travel data for DOD personnel.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row60_col0\" class=\"data row60 col0\" >2018-01-01</td>\n",
       "      <td id=\"T_1843f_row60_col1\" class=\"data row60 col1\" >152</td>\n",
       "      <td id=\"T_1843f_row60_col2\" class=\"data row60 col2\" >Adobe Zero Day Hack Qatar</td>\n",
       "      <td id=\"T_1843f_row60_col3\" class=\"data row60 col3\" >Unknown Actors infected computers of the qatari foreign office with malware, via an Adobe zero-day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row61_col0\" class=\"data row61 col0\" >2018-09-01</td>\n",
       "      <td id=\"T_1843f_row61_col1\" class=\"data row61 col1\" >152</td>\n",
       "      <td id=\"T_1843f_row61_col2\" class=\"data row61 col2\" >Iranian APT Chafer focuses on diplomatic entities in the Middle East</td>\n",
       "      <td id=\"T_1843f_row61_col3\" class=\"data row61 col3\" >Throughout the autumn of 2018 Kaspersky analyzed a long-standing cyber-espionage campaign that was primarily targeting foreign diplomatic entities based in Iran. The attackers were using an improved version of Remexi in what the victimology suggests might be a domestic cyber-espionage operation. This malware has previously been associated with an Iranian APT actor that is widely called Chafer.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row62_col0\" class=\"data row62 col0\" >2021-02-01</td>\n",
       "      <td id=\"T_1843f_row62_col1\" class=\"data row62 col1\" >151</td>\n",
       "      <td id=\"T_1843f_row62_col2\" class=\"data row62 col2\" >Russian cyberspies vs. Slovak government - 2021</td>\n",
       "      <td id=\"T_1843f_row62_col3\" class=\"data row62 col3\" >Between February and July, members of the Slovak government were victims of spear phishing campaigns. The two Slovak security companies ESET and IstroSec attributed the Russian group Dukes/Nobelium/APT29 as the attackers. After these attacks were made public, other campaigns against officials in 13 other European countries were uncovered.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row63_col0\" class=\"data row63 col0\" >2015-06-11</td>\n",
       "      <td id=\"T_1843f_row63_col1\" class=\"data row63 col1\" >149</td>\n",
       "      <td id=\"T_1843f_row63_col2\" class=\"data row63 col2\" >Lov3rDns vs. Obama Campaign</td>\n",
       "      <td id=\"T_1843f_row63_col3\" class=\"data row63 col3\" >Obama’s Election Campaign Social Network Domain Hacked by Yemeni Hacker\"Lov3rDns\"</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row64_col0\" class=\"data row64 col0\" >2015-04-09</td>\n",
       "      <td id=\"T_1843f_row64_col1\" class=\"data row64 col1\" >149</td>\n",
       "      <td id=\"T_1843f_row64_col2\" class=\"data row64 col2\" >IS hackers vs. Embassy</td>\n",
       "      <td id=\"T_1843f_row64_col3\" class=\"data row64 col3\" >Turkmen Embassy In Minsk Hacked Apparently ByIS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row65_col0\" class=\"data row65 col0\" >2015-08-12</td>\n",
       "      <td id=\"T_1843f_row65_col1\" class=\"data row65 col1\" >142</td>\n",
       "      <td id=\"T_1843f_row65_col2\" class=\"data row65 col2\" >DDOS vs. Minnesota Court System</td>\n",
       "      <td id=\"T_1843f_row65_col3\" class=\"data row65 col3\" >The website of the Minnesota court system experienced multiple DDOS attacks during December 2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row66_col0\" class=\"data row66 col0\" >2022-07-13</td>\n",
       "      <td id=\"T_1843f_row66_col1\" class=\"data row66 col1\" >139</td>\n",
       "      <td id=\"T_1843f_row66_col2\" class=\"data row66 col2\" >Threat activity group UNC4166 gained access to and stole information from Ukrainian government networks beginning in mid-July 2022</td>\n",
       "      <td id=\"T_1843f_row66_col3\" class=\"data row66 col3\" >The threat activity group UNC4166 gained access to and stole information from Ukrainian government networks from 13 July 2022 to at least 28 November 2022, according to a technical report by threat intelligence company Mandiant. \n",
       "UNC4166 distributed trojanized Windows 10 installers via torrent sites in a supply-chain attack. \n",
       "Mandiant has not yet associated UNC4166 with a specific threat actor or sponsor but notes overlaps in the victimology with GRU-affiliated groups that conducted wiper attacks following Russia's invasion of Ukraine. </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row67_col0\" class=\"data row67 col0\" >2019-09-01</td>\n",
       "      <td id=\"T_1843f_row67_col1\" class=\"data row67 col1\" >123</td>\n",
       "      <td id=\"T_1843f_row67_col2\" class=\"data row67 col2\" >xHunt</td>\n",
       "      <td id=\"T_1843f_row67_col3\" class=\"data row67 col3\" >New campaign by xHunt targets Kuwaiti government in using two backdoors.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row68_col0\" class=\"data row68 col0\" >2013-06-01</td>\n",
       "      <td id=\"T_1843f_row68_col1\" class=\"data row68 col1\" >123</td>\n",
       "      <td id=\"T_1843f_row68_col2\" class=\"data row68 col2\" >Iran vs. USNavy</td>\n",
       "      <td id=\"T_1843f_row68_col3\" class=\"data row68 col3\" >Iranian hackers enter non-classified navy computer systems.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row69_col0\" class=\"data row69 col0\" >2019-03-01</td>\n",
       "      <td id=\"T_1843f_row69_col1\" class=\"data row69 col1\" >123</td>\n",
       "      <td id=\"T_1843f_row69_col2\" class=\"data row69 col2\" >SectorE02 vs. Pakistani government</td>\n",
       "      <td id=\"T_1843f_row69_col3\" class=\"data row69 col3\" >The hacking group SectorE02 targets the Pakistani government.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row70_col0\" class=\"data row70 col0\" >2018-09-01</td>\n",
       "      <td id=\"T_1843f_row70_col1\" class=\"data row70 col1\" >123</td>\n",
       "      <td id=\"T_1843f_row70_col2\" class=\"data row70 col2\" >BITTER ArtraDownloader</td>\n",
       "      <td id=\"T_1843f_row70_col3\" class=\"data row70 col3\" >The hacking group BITTER gained access into governemental and commercial entities in Pakistan and Saudi Arabia.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row71_col0\" class=\"data row71 col0\" >2021-08-01</td>\n",
       "      <td id=\"T_1843f_row71_col1\" class=\"data row71 col1\" >123</td>\n",
       "      <td id=\"T_1843f_row71_col2\" class=\"data row71 col2\" >“KONNI” Targets the Russian Diplomatic Sector</td>\n",
       "      <td id=\"T_1843f_row71_col3\" class=\"data row71 col3\" >Hackers believed to work for the North Korean government have compromised the email account of a staff member of Russia’s Ministry of Foreign Affairs (MID) and deployed spear-phishing attacks against the country’s diplomats in other regions.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row72_col0\" class=\"data row72 col0\" >2017-09-01</td>\n",
       "      <td id=\"T_1843f_row72_col1\" class=\"data row72 col1\" >123</td>\n",
       "      <td id=\"T_1843f_row72_col2\" class=\"data row72 col2\" >Operation Sharpshooter</td>\n",
       "      <td id=\"T_1843f_row72_col3\" class=\"data row72 col3\" >Using the \"risings unim plant\", the North-Korean Lazarus Group hacked various organisations and institutions in Europe, the UK and the US. These attacks provided the group with informations on critical infrastructure (in the sectors of finance, energy, transport etc.) as well as the military.\n",
       "</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row73_col0\" class=\"data row73 col0\" >2021-06-01</td>\n",
       "      <td id=\"T_1843f_row73_col1\" class=\"data row73 col1\" >123</td>\n",
       "      <td id=\"T_1843f_row73_col2\" class=\"data row73 col2\" >Chinese Espionage Campaign: Cambodia</td>\n",
       "      <td id=\"T_1843f_row73_col3\" class=\"data row73 col3\" >Chinese state-sponsored hacking groups compromised the networks of the Cambodian government and the country's sole international and commercial Aihanoukville Autonomous Port. The targeting of this Cambodian seaport aims to offset Japanese influence as the biggest investor of this particular seaport because of its relevance for the Belt-and-Road Initiative of China.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row74_col0\" class=\"data row74 col0\" >2018-01-01</td>\n",
       "      <td id=\"T_1843f_row74_col1\" class=\"data row74 col1\" >121</td>\n",
       "      <td id=\"T_1843f_row74_col2\" class=\"data row74 col2\" >Qatar vs. Congressman Broidy</td>\n",
       "      <td id=\"T_1843f_row74_col3\" class=\"data row74 col3\" >Congressman Broidy was hacked by allegedly qatarian actors, accessing his E-Mail account and leaking the data to American media</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row75_col0\" class=\"data row75 col0\" >2015-01-01</td>\n",
       "      <td id=\"T_1843f_row75_col1\" class=\"data row75 col1\" >121</td>\n",
       "      <td id=\"T_1843f_row75_col2\" class=\"data row75 col2\" >Leak of Saudi Ministry of Foreign Affairs 2015</td>\n",
       "      <td id=\"T_1843f_row75_col3\" class=\"data row75 col3\" >Yemeni Hackergroup Yemeni Cyber Army leaked and published sensitive Data of Saudi Ministry of Foreign Affairs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row76_col0\" class=\"data row76 col0\" >2021-01-01</td>\n",
       "      <td id=\"T_1843f_row76_col1\" class=\"data row76 col1\" >121</td>\n",
       "      <td id=\"T_1843f_row76_col2\" class=\"data row76 col2\" >Update Pulse Secure VPN Chinese Espionage</td>\n",
       "      <td id=\"T_1843f_row76_col3\" class=\"data row76 col3\" >UNC2630 und UNC2717 installed new malware strains on the compromised network of several US and EU government organizations</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row77_col0\" class=\"data row77 col0\" >2015-06-10</td>\n",
       "      <td id=\"T_1843f_row77_col1\" class=\"data row77 col1\" >119</td>\n",
       "      <td id=\"T_1843f_row77_col2\" class=\"data row77 col2\" >AnonGhost attacks US Air Force Website</td>\n",
       "      <td id=\"T_1843f_row77_col3\" class=\"data row77 col3\" >Pro-Palestine Group Hacks Subdomains of US Air Force Website</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row78_col0\" class=\"data row78 col0\" >2021-01-28</td>\n",
       "      <td id=\"T_1843f_row78_col1\" class=\"data row78 col1\" >118</td>\n",
       "      <td id=\"T_1843f_row78_col2\" class=\"data row78 col2\" >Safari zero-day exploited by Russian government-backed actor</td>\n",
       "      <td id=\"T_1843f_row78_col3\" class=\"data row78 col3\" >A Russian government-backed actor exploited the CVE-2021-1879 WebKit/Safari flaw by sending western European government officials malicious links. While Google does not mention the name of a specific threat group, Microsoft is certain that the campaign was carried out by the hacking group Nobelium.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row79_col0\" class=\"data row79 col0\" >2018-10-04</td>\n",
       "      <td id=\"T_1843f_row79_col1\" class=\"data row79 col1\" >105</td>\n",
       "      <td id=\"T_1843f_row79_col2\" class=\"data row79 col2\" >Breach and data theft from South Korea's Defense Ministry</td>\n",
       "      <td id=\"T_1843f_row79_col3\" class=\"data row79 col3\" >Hackers breach 30 computers of South Koreas Defense Ministry and steal data from 10 of them.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row80_col0\" class=\"data row80 col0\" >2016-09-20</td>\n",
       "      <td id=\"T_1843f_row80_col1\" class=\"data row80 col1\" >104</td>\n",
       "      <td id=\"T_1843f_row80_col2\" class=\"data row80 col2\" >Indian CBI Hack</td>\n",
       "      <td id=\"T_1843f_row80_col3\" class=\"data row80 col3\" >Indian Central Bureau of Investigation and Army officers were targeted by a phishing campaign, according to an Indian Cybersecurity Blog/Research-Entity.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row81_col0\" class=\"data row81 col0\" >2019-07-12</td>\n",
       "      <td id=\"T_1843f_row81_col1\" class=\"data row81 col1\" >102</td>\n",
       "      <td id=\"T_1843f_row81_col2\" class=\"data row81 col2\" >Russia interference in Britains general election 2019</td>\n",
       "      <td id=\"T_1843f_row81_col3\" class=\"data row81 col3\" >Russian hacking group stole U.S.-UK trade documents from email account of former trade minister Liam Fox and leaked them ahead of the general election in order to influence it.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row82_col0\" class=\"data row82 col0\" >2011-07-25</td>\n",
       "      <td id=\"T_1843f_row82_col1\" class=\"data row82 col1\" >99</td>\n",
       "      <td id=\"T_1843f_row82_col2\" class=\"data row82 col2\" >Chinese Trojan Horse in Japan</td>\n",
       "      <td id=\"T_1843f_row82_col3\" class=\"data row82 col3\" >Computers and servers in the lower house of Japan's parliament became infected by a Trojan horse virus after one politician opened an email attachment. Computer IDs and passwords of all the lawmakers in the House of Representatives were leaked, e-mails sent to its lawmakers might have been accessible to hackers for a maximum of 15 days and computers were found to have made improper communications with overseas Websites</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row83_col0\" class=\"data row83 col0\" >2022-06-01</td>\n",
       "      <td id=\"T_1843f_row83_col1\" class=\"data row83 col1\" >93</td>\n",
       "      <td id=\"T_1843f_row83_col2\" class=\"data row83 col2\" >Unknown actors gained access to networks of at least two organizations of the US Federal Civilian Executive Branch through the malicious use of legitimate remote monitoring and management software in mid-June and mid-September 2022</td>\n",
       "      <td id=\"T_1843f_row83_col3\" class=\"data row83 col3\" >The US Cybersecurity and Infrastructure Security Agency (CISA) warned of the malicious use of legitimate remote monitoring and management (RMM) software in January 2023. The alert notes the deployment of RMM tools by unknown actors against networks of at least two unnamed organizations within the US federal civilian executive branch (FCEB) in mid-June 2022 and mid-September 2022. Both incidents were initiated by phishing emails that faciliated the download of RMM software. With active access to compromised systems, the attackers convinced the recipients to check their bank accounts, providing the attackers with an opportunity to fabricate fake account summaries. These manipulated summaries showed made-up refunds to make victims believe they had been reimbursed too much money.\n",
       "Victims were requested to \"correct\" this and pay the difference to the attackers. CISA pointed to the scam observed in these two incidents as indications of potential financial motives, while noting that the access developed as part of the campaign could also be used for other malicious purposes.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row84_col0\" class=\"data row84 col0\" >2016-10-01</td>\n",
       "      <td id=\"T_1843f_row84_col1\" class=\"data row84 col1\" >93</td>\n",
       "      <td id=\"T_1843f_row84_col2\" class=\"data row84 col2\" >India/Pakistan Ehdoor Espionage</td>\n",
       "      <td id=\"T_1843f_row84_col3\" class=\"data row84 col3\" >SymantecCorp, a digital security company, says it has identified a sustained cyberspying campaign, likely state-sponsored, against Indian and Pakistani entities involved in regional security issues.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row85_col0\" class=\"data row85 col0\" >2004-04-01</td>\n",
       "      <td id=\"T_1843f_row85_col1\" class=\"data row85 col1\" >92</td>\n",
       "      <td id=\"T_1843f_row85_col2\" class=\"data row85 col2\" >DDoS North Korea 2004</td>\n",
       "      <td id=\"T_1843f_row85_col3\" class=\"data row85 col3\" >A total of 314 PCs were hacked, including servers at the Ministry of Maritime Affairs and Fisheries, enterprises and universities. The attack was attributed to North Korea by the Korea Economic Institute of America.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row86_col0\" class=\"data row86 col0\" >2022-09-01</td>\n",
       "      <td id=\"T_1843f_row86_col1\" class=\"data row86 col1\" >92</td>\n",
       "      <td id=\"T_1843f_row86_col2\" class=\"data row86 col2\" >Unknown hackers destroyed data in networks of Russian city halls and courts using new malware CryWiper in the fall of 2022</td>\n",
       "      <td id=\"T_1843f_row86_col3\" class=\"data row86 col3\" >Unknown hackers disguised the previously unknown destructive CryWiper malware as ransomware with the intention to delete data in networks of Russian city halls and courts in the fall of 2022, according to Kaspersky in a Russian blogpost. \n",
       "Igor Bederov, IT-security expert at T.Hunter, told the Russian newspaper Izvestia that this cyber incident is shaped by the current geopolitical context in which foreign hackers are encouraged to attack Russian targets. </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row87_col0\" class=\"data row87 col0\" >2022-09-01</td>\n",
       "      <td id=\"T_1843f_row87_col1\" class=\"data row87 col1\" >92</td>\n",
       "      <td id=\"T_1843f_row87_col2\" class=\"data row87 col2\" >Hacker group Kasablanka targeted various Russian state institutions from September to December 2022</td>\n",
       "      <td id=\"T_1843f_row87_col3\" class=\"data row87 col3\" >The Kasablanka group targeted various Russian state institutions - including the Ministry of Foreign Communications of the Astrakhan Region and the Federal Agency for the Commonwealth of Independent States Affairs, Compatriots Living Abroad, and International Humanitarian Cooperation (Rossotrudnichestvo) - from September to December 2022, the Chinese IT security firm Qi-Anxin concludes with medium confidence.\n",
       "This attribution finding is based on the use of Loda RAT malware, which is deemed to be custom-built. Considering possibilities to reverse-engineer the tool, Qi-Anxin did not rule out an attempted false-flag operation. </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row88_col0\" class=\"data row88 col0\" >2013-01-01</td>\n",
       "      <td id=\"T_1843f_row88_col1\" class=\"data row88 col1\" >91</td>\n",
       "      <td id=\"T_1843f_row88_col2\" class=\"data row88 col2\" >National Inventory of Dams Hack</td>\n",
       "      <td id=\"T_1843f_row88_col3\" class=\"data row88 col3\" >U.S. intelligence agencies traced a recent cyber intrusion into a sensitive infrastructure database on vulnerabilities of US Dams to the Chinese government or military cyberwarriors, according to U.S.officials.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row89_col0\" class=\"data row89 col0\" >2019-01-01</td>\n",
       "      <td id=\"T_1843f_row89_col1\" class=\"data row89 col1\" >91</td>\n",
       "      <td id=\"T_1843f_row89_col2\" class=\"data row89 col2\" >OilRig Read my Lips</td>\n",
       "      <td id=\"T_1843f_row89_col3\" class=\"data row89 col3\" >The unidentified group Shadow Brokers leaked hackingtools of the Iranian group OilRig online</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row90_col0\" class=\"data row90 col0\" >2018-09-01</td>\n",
       "      <td id=\"T_1843f_row90_col1\" class=\"data row90 col1\" >91</td>\n",
       "      <td id=\"T_1843f_row90_col2\" class=\"data row90 col2\" >Seedworm</td>\n",
       "      <td id=\"T_1843f_row90_col3\" class=\"data row90 col3\" >The iranian actor Seedworm hacked various firms, primarily related to telecommunication with the goal of datatheft. The exact origin of this group remains unknown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row91_col0\" class=\"data row91 col0\" >2018-01-01</td>\n",
       "      <td id=\"T_1843f_row91_col1\" class=\"data row91 col1\" >91</td>\n",
       "      <td id=\"T_1843f_row91_col2\" class=\"data row91 col2\" >Midterm Elections-Attack on the Republican Party</td>\n",
       "      <td id=\"T_1843f_row91_col3\" class=\"data row91 col3\" >Shortly before the Midterm Elections an election campaign comittee of the Republican Party was hacked by an unknown attacker group. Espionaging the e-mail accounts of four highranked employees the attackers gained access to thousands of e-mails.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row92_col0\" class=\"data row92 col0\" >2017-12-20</td>\n",
       "      <td id=\"T_1843f_row92_col1\" class=\"data row92 col1\" >74</td>\n",
       "      <td id=\"T_1843f_row92_col2\" class=\"data row92 col2\" >\"Zebrocy\"</td>\n",
       "      <td id=\"T_1843f_row92_col3\" class=\"data row92 col3\" >In the \"Zebrocy\"-campaign the Russian-sponsored APT Fancy Bear aka APT28 aka Sofacy attacked various organisations of governments which are linked to foreign affairs.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row93_col0\" class=\"data row93 col0\" >2019-07-01</td>\n",
       "      <td id=\"T_1843f_row93_col1\" class=\"data row93 col1\" >63</td>\n",
       "      <td id=\"T_1843f_row93_col2\" class=\"data row93 col2\" >Fractured Statue</td>\n",
       "      <td id=\"T_1843f_row93_col3\" class=\"data row93 col3\" >North Korean attackers accessed the networks of an unidentified American government agency</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row94_col0\" class=\"data row94 col0\" >2021-09-01</td>\n",
       "      <td id=\"T_1843f_row94_col1\" class=\"data row94 col1\" >62</td>\n",
       "      <td id=\"T_1843f_row94_col2\" class=\"data row94 col2\" >Threat Actors Use Microsoft OneDrive for Command-and-Control in Attack Campaign</td>\n",
       "      <td id=\"T_1843f_row94_col3\" class=\"data row94 col3\" >Threat Actors Use Microsoft OneDrive for Command-and-Control in Attack Campaign</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row95_col0\" class=\"data row95 col0\" >2006-08-01</td>\n",
       "      <td id=\"T_1843f_row95_col1\" class=\"data row95 col1\" >62</td>\n",
       "      <td id=\"T_1843f_row95_col2\" class=\"data row95 col2\" >BIS Hack</td>\n",
       "      <td id=\"T_1843f_row95_col3\" class=\"data row95 col3\" >An attack against the US Bureau of Industry and Security (BIS) forced the agency to turn off Internet access in early September 2006. Hundreds of computers must be replaced to cleanse the agency of malicious code.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row96_col0\" class=\"data row96 col0\" >2012-06-01</td>\n",
       "      <td id=\"T_1843f_row96_col1\" class=\"data row96 col1\" >62</td>\n",
       "      <td id=\"T_1843f_row96_col2\" class=\"data row96 col2\" >Project Hell Fire Leak</td>\n",
       "      <td id=\"T_1843f_row96_col3\" class=\"data row96 col3\" >Massive Leak: Project Hell Fire Hackers Dump 1 Million Accounts from 100 Sites</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row97_col0\" class=\"data row97 col0\" >2015-11-01</td>\n",
       "      <td id=\"T_1843f_row97_col1\" class=\"data row97 col1\" >62</td>\n",
       "      <td id=\"T_1843f_row97_col2\" class=\"data row97 col2\" >Dropping Elephant targets Diplomats</td>\n",
       "      <td id=\"T_1843f_row97_col3\" class=\"data row97 col3\" >Dropping Elephant targets multiple diplomatic and government entities with a particular focus on China and its international affairs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row98_col0\" class=\"data row98 col0\" >2015-11-01</td>\n",
       "      <td id=\"T_1843f_row98_col1\" class=\"data row98 col1\" >62</td>\n",
       "      <td id=\"T_1843f_row98_col2\" class=\"data row98 col2\" >Israeli Generals-Iran-Hack</td>\n",
       "      <td id=\"T_1843f_row98_col3\" class=\"data row98 col3\" >Israeli Generals have been targeted by Iran, according to an Israeli IT-security company.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row99_col0\" class=\"data row99 col0\" >2016-04-01</td>\n",
       "      <td id=\"T_1843f_row99_col1\" class=\"data row99 col1\" >62</td>\n",
       "      <td id=\"T_1843f_row99_col2\" class=\"data row99 col2\" >DNC-Hack (Fancy Bear)</td>\n",
       "      <td id=\"T_1843f_row99_col3\" class=\"data row99 col3\" >Russian government hackers from state-sponsored group Fancy Bear/APT28 penetrated the computer network of the Democratic National Committee and gained access to the entire database of opposition research on GOP presidential candidate Donald Trump.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row100_col0\" class=\"data row100 col0\" >2016-11-17</td>\n",
       "      <td id=\"T_1843f_row100_col1\" class=\"data row100 col1\" >62</td>\n",
       "      <td id=\"T_1843f_row100_col2\" class=\"data row100 col2\" >Shamoon 2.0</td>\n",
       "      <td id=\"T_1843f_row100_col3\" class=\"data row100 col3\" >Likely Iranian State-sponsored hackers (Crowd strike) have conducted a series of destructive attacks on Saudi Arabia over the last two weeks, erasing data and wreaking havoc in the computerbanks of the agency running the country’s airports and hitting five additional targets.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row101_col0\" class=\"data row101 col0\" >2017-08-01</td>\n",
       "      <td id=\"T_1843f_row101_col1\" class=\"data row101 col1\" >62</td>\n",
       "      <td id=\"T_1843f_row101_col2\" class=\"data row101 col2\" >Rousseau</td>\n",
       "      <td id=\"T_1843f_row101_col3\" class=\"data row101 col3\" >In August anonymous hackers broke into Italy's 5-Star’s webplatform, called “Rousseau” and obtained secret data on ist members and donors.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row102_col0\" class=\"data row102 col0\" >2016-08-01</td>\n",
       "      <td id=\"T_1843f_row102_col1\" class=\"data row102 col1\" >62</td>\n",
       "      <td id=\"T_1843f_row102_col2\" class=\"data row102 col2\" >North Korea attack on South Korean Military</td>\n",
       "      <td id=\"T_1843f_row102_col3\" class=\"data row102 col3\" >NorthKorea appears to have hacked SouthKorea's cybercommand in what could be the latest cyberattack against Seoul, the military here said Tuesday,</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row103_col0\" class=\"data row103 col0\" >2012-01-01</td>\n",
       "      <td id=\"T_1843f_row103_col1\" class=\"data row103 col1\" >61</td>\n",
       "      <td id=\"T_1843f_row103_col2\" class=\"data row103 col2\" >Bangladesh Cyber Army hack indian webpages</td>\n",
       "      <td id=\"T_1843f_row103_col3\" class=\"data row103 col3\" >Indian Government and 30 websites hacked by Bangladesh Cyber Army</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row104_col0\" class=\"data row104 col0\" >2018-10-01</td>\n",
       "      <td id=\"T_1843f_row104_col1\" class=\"data row104 col1\" >61</td>\n",
       "      <td id=\"T_1843f_row104_col2\" class=\"data row104 col2\" >Watering Hole Attacks - OceanLotus</td>\n",
       "      <td id=\"T_1843f_row104_col3\" class=\"data row104 col3\" >Researchers from ESET discover a new watering hole campaign targeting 21 distinct websites in Southeast Asia carried out by OceanLotus.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row105_col0\" class=\"data row105 col0\" >2005-02-01</td>\n",
       "      <td id=\"T_1843f_row105_col1\" class=\"data row105 col1\" >60</td>\n",
       "      <td id=\"T_1843f_row105_col2\" class=\"data row105 col2\" >Tulip Revolution Kyrgyzstan</td>\n",
       "      <td id=\"T_1843f_row105_col3\" class=\"data row105 col3\" >Websites belonging to political parties and independent media were subject to unexplained technical failures and deliberate hacking during Kyrgyzstan's recent Parliamentary elections. Attacks included flooding journalist e-mailaccounts with large amounts of spam, and spoofing of e-mail from Kyrgyz websites located in the US. Several political websites were deliberately defaced.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row106_col0\" class=\"data row106 col0\" >2015-06-08</td>\n",
       "      <td id=\"T_1843f_row106_col1\" class=\"data row106 col1\" >60</td>\n",
       "      <td id=\"T_1843f_row106_col2\" class=\"data row106 col2\" >U.S.Army Website Hack 2015</td>\n",
       "      <td id=\"T_1843f_row106_col3\" class=\"data row106 col3\" >US Army website defaced by Syrian Electronic Army</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1843f_row107_col0\" class=\"data row107 col0\" >2018-10-01</td>\n",
       "      <td id=\"T_1843f_row107_col1\" class=\"data row107 col1\" >51</td>\n",
       "      <td id=\"T_1843f_row107_col2\" class=\"data row107 col2\" >Fancy Bear attacks European and US targets (\"Cannon\"Malware)</td>\n",
       "      <td id=\"T_1843f_row107_col3\" class=\"data row107 col3\" >Researchers from PaloAlto Networks reveal the details of a new campaign carried out by the infamous APT28, AKA Fancy Bear, AKA Sofacy, via the Cannon malware.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x14abf298bd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_description = df_duration[['start_date', 'duration', 'name', 'description']]\n",
    "df_description = df_description[df_description['duration'] > 50].sort_values(by='duration', ascending=False)\n",
    "df_description['start_date'] = df_description['start_date'].dt.strftime('%Y-%m-%d')\n",
    "pd.set_option('display.max_colwidth', None)\n",
    "styled_df = df_description.style.hide(axis=\"index\")\n",
    "display(styled_df)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}