# coffeehb/Some-PoC-oR-ExP

各种漏洞poc、Exp的收集或编写

Repository: https://github.com/coffeehb/Some-PoC-oR-ExP
Canonical: https://ross.abutalabs.com/products/some-poc-or-exp
Language: Python
License Family: other
Last push: 2025-06-24T09:10:37+00:00

## Health v2 (maintenance only)
Score: 45/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 28, release rhythm 35, longevity 100
- inputs: {"age_days": 4191, "days_push": 435, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2502, forks 965 (observed 2026-08-28T04:06:57.000246+00:00)

## What it is
A curated collection of proof-of-concept (PoC) scripts and exploits for various software vulnerabilities, written and gathered in Python. It is intended as a reference for security research and authorized penetration testing only.

## Use cases
- find poc exploits for known cves
- collect exploit scripts for penetration testing
- reference exploit code when writing my own poc
- learn how vulnerabilities are exploited
- prepare payloads for an authorized security assessment

## When to choose
- you need a quick reference of PoC/exploit scripts for security research
- you want example exploit code to adapt for authorized testing

## When to avoid
- you need a maintained commercial-grade exploitation framework like Metasploit
- you require a tool with a license or formal support
- you want automated vulnerability scanning rather than manual PoCs

## Facets
- artifact type: dataset
- maturity: active
- function: security, penetration-testing, vulnerability-scanning
- domain: security, penetration-testing, developer-tools
- platform: python, cli, cross-platform
- tags: poc, exploit, vulnerability-research, security-testing, collection

## Member repositories
- coffeehb/Some-PoC-oR-ExP (main) score 45

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:57.000246+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:26:49.269637+00:00, confidence not recorded.
  - readme: https://github.com/coffeehb/Some-PoC-oR-ExP (fetched 2026-08-28T04:06:57.000246+00:00, sha 5ec6e9a801d0)
- Data as of 2026-08-30T08:39:29.467469+00:00.