title | description |
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Steampipe Table: abuseipdb_check_ip - Query AbuseIPDB IP Reports using SQL |
Allows users to query IP Reports in AbuseIPDB, specifically the IP address details, providing insights into IP reputation and potential abuse activities. |
AbuseIPDB is a service that helps system administrators, IT security analysts, and developers to understand whether a specific IP address has been reported for suspicious activity. It provides an API to check and report IP addresses associated with malicious activities like spamming, brute-force attacks, and other forms of abuse. AbuseIPDB helps in identifying potential threats and taking necessary actions to prevent cyber attacks.
The abuseipdb_check_ip
table provides insights into IP addresses reported for suspicious activities in AbuseIPDB. As a system administrator or IT security analyst, explore IP-specific details through this table, including abuse reports, reputation score, and associated metadata. Utilize it to uncover information about reported IPs, such as their reputation, the number of times they've been reported, and the categories of abuse they've been associated with.
Analyze the settings to understand the potential abuse history and confidence score for a specific IP address. This query is useful for identifying potential security risks and recent abuse reports associated with that IP.
select
ip_address,
abuse_confidence_score,
last_reported_at
from
abuseipdb_check_ip
where
ip_address = '76.76.21.21';
select
ip_address,
abuse_confidence_score,
last_reported_at
from
abuseipdb_check_ip
where
ip_address = '76.76.21.21';
Determine the reports associated with a specific IP address over the past year. This can be useful for understanding the history of suspicious activities and identifying recurring patterns or categories of abuse.
select
report ->> 'reportedAt' as reported_at,
report ->> 'comment' as comment,
report ->> 'categories' as categories
from
abuseipdb_check_ip,
jsonb_array_elements(reports) as report
where
ip_address = '76.76.21.21'
and max_age_in_days = 365;
select
json_extract(report.value, '$.reportedAt') as reported_at,
json_extract(report.value, '$.comment') as comment,
json_extract(report.value, '$.categories') as categories
from
abuseipdb_check_ip,
json_each(reports) as report
where
ip_address = '76.76.21.21'
and max_age_in_days = 365;
Determine the most frequently reported categories associated with a specific IP address over the past year. This can be useful for identifying trends or patterns in abusive behavior for cybersecurity purposes.
select
category_id.value as category,
c.title,
count(*)
from
abuseipdb_check_ip as ch,
jsonb_array_elements(ch.reports) as report,
jsonb_array_elements(report->'categories') as category_id,
abuseipdb_category as c
where
ip_address = '76.76.21.21'
and max_age_in_days = 365
and c.id = category_id.value::int
group by
category_id.value,
c.title
order by
count desc;
select
json_extract(category_id.value, '$') as category,
c.title,
count(*)
from
abuseipdb_check_ip as ch,
json_each(json_extract(ch.reports, '$')) as report,
json_each(json_extract(report.value, '$.categories')) as category_id,
abuseipdb_category as c
where
ch.ip_address = '76.76.21.21'
and ch.max_age_in_days = 365
and c.id = cast(json_extract(category_id.value, '$') as int)
group by
json_extract(category_id.value, '$'),
c.title
order by
count(*) desc;