# jordanpotti/AWSBucketDump

Security Tool to Look For Interesting Files in S3 Buckets

Repository: https://github.com/jordanpotti/AWSBucketDump
Canonical: https://ross.abutalabs.com/products/awsbucketdump
Language: Python
License: MIT
License Family: permissive
Topics: s3-bucket, penetration-testing, bugbounty, enumeration
Last push: 2024-04-10T06:15:23+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": 3352, "days_push": 875, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1473, forks 245 (observed 2026-08-28T04:04:49.604567+00:00)

## What it is
AWSBucketDump is a Python CLI security tool that enumerates AWS S3 buckets using wordlists, similar to a subdomain bruteforcer but for S3. It greps bucket contents for interesting keywords and can optionally download matching files.

## Use cases
- enumerate s3 buckets for open files
- find exposed data in aws s3 buckets
- bug bounty recon on s3 buckets
- download interesting files from public s3 buckets
- bruteforce s3 bucket names with a wordlist
- grep s3 buckets for sensitive file types

## When to choose
- you need a fast, scriptable S3 bucket enumeration tool for pentesting or bug bounty
- you want to grep bucket listings for interesting keywords and optionally download files

## When to avoid
- you need a full cloud security posture scanner rather than a single-purpose S3 enumerator
- you want a maintained tool with active development and modern AWS SDK integration

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: penetration-testing, web-scraping, security
- domain: security, penetration-testing, cloud-computing
- platform: python, cli, windows
- tags: s3-buckets, bug-bounty, enumeration, aws, recon, linux, macos

## Member repositories
- jordanpotti/AWSBucketDump (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:49.604567+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 2026-08-30T04:34:38.167628+00:00, confidence not recorded.
  - readme: https://github.com/jordanpotti/AWSBucketDump (fetched 2026-08-28T04:04:49.604567+00:00, sha f8fed958fbc5)
- Data as of 2026-08-30T08:39:29.467469+00:00.