Tool to find CVEs and Exploits.
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Updated
Feb 28, 2024 - Python
Tool to find CVEs and Exploits.
Streamline vulnerability patching with CVSS, EPSS, and CISA's Known Exploited Vulnerabilities. Prioritize actions based on real-time threat information, gain a competitive advantage, and stay informed about the latest trends.
CISO Assistant is a one-stop-shop for GRC, covering Risk, AppSec and Audit Management and supporting +37 frameworks worldwide: NIST CSF, ISO 27001, SOC2, CIS, PCI DSS, NIS2, CMMC, PSPF, GDPR, HIPAA, Essential Eight, NYDFS-500, DORA, NIST AI RMF, 800-53, 800-171, CyFun, CJIS, AirCyber and so much more
Periodic table, physical constants, and molecule parsing for quantum chemistry.
Using Tensorflow to classify the NIST Dataset 19 (Handwriting)
An open-source modular framework capable of identifying a wide range of TLS vulnerabilities and assessing compliance with multiple guidelines. Its actionable report can assist the user in correctly and easily fixing their configurations.
VULNSPY regularly retrieves the latest alerts published by the CERT-FR and the related vulnerabilities with their CVSS score and allows you to notify by email or by discord if a defined threshold is exceeded
Two scripts in Python to encrypt/decrypt using the 128 bits AES algorithm, ECB mode with hex "00" as padding for each character. For the encryption, an ascii plaintext file is taken as the input, then an encrypted hex file is outputted. For the decryption, a ciphertext hex file is taken as the input, then a decrypted ascii file is outputted.
An unofficial, RESTful API for NIST's NVD
CRIKit2 is a hyperspectral imaging toolkit formerly known as the coherent Raman imaging toolkit.
CVE Vulnerability scanner of your software bill of materials (SBOM). ASCII text input.
Legacy Python 2 library to read and write ANSI NIST files (from Type-01 to Type-99 ; fingerprint oriented).
Basically a class which parses the NIST Atomic Spectra Database and saves the data to a dictionary on HDD. You can pass an matplotlib.axis, and the emissions lines will be plotted with an optional normalization factor.
A simple Python package to quickly run privacy metrics for your data. Obtain the K-anonimity, L-diversity and T-closeness to asses how anonymous your transformed data is, and how it's balanced with data usability.
Python 3 Library to access the NIST Randomness Beacon
WWVB 60Khz Full functionality receiver/parser for i2c bus based ES100-MOD
Proof of concept code that Dual EC DRBG is backdoored
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