# YfryTchsGD/Log4jAttackSurface

Repository: https://github.com/YfryTchsGD/Log4jAttackSurface
Canonical: https://ross.abutalabs.com/products/log4jattacksurface
License Family: other
Last push: 2021-12-13T19:22:58+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1727, "days_push": 1724, "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 2069, forks 250 (observed 2026-08-28T04:06:10.291802+00:00)

## What it is
A community-curated list documenting which manufacturers, products, and components were affected by the Log4j (Log4Shell) vulnerability, with verification status and references. It serves as a reference dataset for assessing Log4j exposure across vendors.

## Use cases
- check which vendors were affected by log4shell
- find out if a product is vulnerable to CVE-2021-44228
- assess log4j attack surface across manufacturers
- reference list of log4j-impacted software
- verify log4j exposure for components like Elasticsearch or VMware

## When to choose
- you need a community-verified inventory of Log4j-affected vendors and products
- you are doing incident response or risk assessment for Log4Shell in December 2021 era
- you want references and screenshots proving a component's exposure

## When to avoid
- you need a scanner or tool to detect Log4j rather than a static list
- you need up-to-date post-2021 vulnerability data
- you need verified advisories only - many entries are unverified

## Facets
- artifact type: dataset
- maturity: maintenance
- function: security, vulnerability-scanning, documentation
- domain: security, developer-tools, awesome-lists
- platform: cross-platform
- tags: log4j, log4shell, cve-2021-44228, attack-surface, vulnerability-research, community-curated

## Member repositories
- YfryTchsGD/Log4jAttackSurface (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:10.291802+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 2026-08-30T02:56:45.458296+00:00, confidence not recorded.
  - readme: https://github.com/YfryTchsGD/Log4jAttackSurface (fetched 2026-08-28T04:06:10.291802+00:00, sha 9bfb4249fc86)
- Data as of 2026-08-30T08:39:29.467469+00:00.