# Simpsonpt/AppSecEzine

AppSec Ezine Public Repository.

Repository: https://github.com/Simpsonpt/AppSecEzine
Canonical: https://ross.abutalabs.com/products/appsecezine
License Family: other
Last push: 2025-11-14T08:30:55+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 52, release rhythm 35, longevity 100
- inputs: {"age_days": 3880, "days_push": 292, "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 1222, forks 107 (observed 2026-08-28T04:04:02.375849+00:00)

## What it is
A weekly curated ezine of application security content, published as markdown editions with RSS/Atom feeds. It aggregates bug bounty write-ups, hacking techniques, vulnerability research, and fun infosec links.

## Use cases
- stay up to date on application security news
- find bug bounty write-ups and exploitation techniques
- build an internal security awareness mailing list
- subscribe to an infosec newsletter via RSS or Slack feed
- learn security concepts as a beginner or practitioner

## When to choose
- you want a curated weekly digest of appsec content instead of hunting across blogs
- you need ready-made material for a company security newsletter or awareness program
- you want an RSS/Atom feed of security links to pipe into Slack or a reader

## When to avoid
- you need a tool or library rather than curated reading material
- you want original tutorials rather than links to external content
- commercial redistribution matters, since the content is CC NonCommercial-ShareAlike

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: security, awesome-lists, education
- platform: -
- tags: newsletter, ezine, appsec, infosec, curated-links, rss-feed, bug-bounty, web-server

## Member repositories
- Simpsonpt/AppSecEzine (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:02.375849+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 2026-08-30T06:15:36.495184+00:00, confidence not recorded.
  - readme: https://github.com/Simpsonpt/AppSecEzine (fetched 2026-08-28T04:04:02.375849+00:00, sha d297dfa35039)
- Data as of 2026-08-30T08:39:29.467469+00:00.