nixawk/labs resource
Vulnerability Labs for security analysis observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3548
- days_rel: n/a
- days_push: 2002
- n_releases_24m: 0
Adoption not part of the score
1162 stars · 437 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of vulnerability labs and proof-of-concept exploits for known CVEs, written primarily in Python. It serves as a security analysis resource for studying and reproducing real-world vulnerabilities.
Use cases
- study known cve exploits
- reproduce vulnerabilities in a lab environment
- learn exploit development techniques
- security research reference for cve analysis
- practice penetration testing on known flaws
When to choose
- you need working PoC code for specific CVEs like Dirty COW or Struts RCE
- you are building a security training or vulnerability analysis lab
- you want to study how real-world exploits are implemented in Python
When to avoid
- you need a maintained vulnerability scanner or production security tool
- you require a licensed, supported project - it has no license file
- you need up-to-date CVE coverage - the last release was in 2021
Facets
dataset · maturity maintenance
security penetration-testing vulnerability-scanning security penetration-testing developer-tools python cli cve exploit vulnerability-analysis security-research proof-of-concept linux
1 source
- readme: https://github.com/nixawk/labs · fetched 2026-08-28 · e71583d34b76
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| nixawk/labs | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem