# akr3ch/BugBountyBooks

A collection of PDF/books about the modern web application security and bug bounty.

Repository: https://github.com/akr3ch/BugBountyBooks
Canonical: https://ross.abutalabs.com/products/bugbountybooks
License Family: other
Topics: bugbounty, hackingbooks, bugbountytips, bugbountypdf, cheatsheets, bugbountybooks
Last push: 2023-12-14T04:51:01+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": 1651, "days_push": 993, "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 1998, forks 495 (observed 2026-08-28T04:06:03.621230+00:00)

## What it is
A curated collection of PDF books and cheatsheets covering modern web application security and bug bounty hunting. It serves as a free learning resource for aspiring and practicing bug bounty hunters.

## Use cases
- learn web application security from free books
- find bug bounty pdf resources
- study hacking cheatsheets
- get started with bug bounty hunting
- build a web security reading list

## When to choose
- you want free curated books on web security and bug bounty
- you are a beginner looking for structured reading material
- you want quick-reference cheatsheets for bug hunting

## When to avoid
- you need interactive training or labs rather than books
- you need a tool rather than learning material
- you require a maintained software project with a license

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, security
- domain: security, penetration-testing, tutorials
- platform: cross-platform
- tags: bug-bounty, books, pdf, cheatsheets, web-security, hacking

## Member repositories
- akr3ch/BugBountyBooks (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:03.621230+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 2026-08-30T03:02:12.307355+00:00, confidence not recorded.
  - readme: https://github.com/akr3ch/BugBountyBooks (fetched 2026-08-28T04:06:03.621230+00:00, sha 5709460bd142)
- Data as of 2026-08-30T08:39:29.467469+00:00.