wisoffe/exploits-predict
Predicting the probability of an exploit being released after a CVE is published (by Machine learning algorithm)
This project helps cybersecurity analysts and incident responders prioritize vulnerabilities by predicting which Common Vulnerabilities and Exposures (CVEs) are most likely to have a public exploit released. By inputting CVE details, it outputs a probability score, enabling teams to focus their resources on the most critical threats. This tool is for security professionals who need to make informed decisions about patching and mitigation strategies.
No commits in the last 6 months.
Use this if you need to proactively identify and prioritize CVEs that pose the highest risk of being exploited in the wild.
Not ideal if you need real-time threat intelligence on active exploits or a complete vulnerability management platform.
Stars
13
Forks
4
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Aug 08, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/wisoffe/exploits-predict"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
nmap/nmap
Nmap - the Network Mapper. Github mirror of official SVN repository.
e-m-b-a/emba
EMBA - The firmware security analyzer
ait-testbed/attackbed
The AttackBed is a simulated enterprise network with numerous vulnerabilities. Attacks in this...
ritesh-gupta-git/AI-Powered-Vulnerability-Management
AI-VMF: AI-Powered Vulnerability Management Framework demo (ensemble exploit prediction + risk scoring)
scorpiondefense/cyberweapons
Automated Cyber Offense