# denandz/KeeFarce

Extracts passwords from a KeePass 2.x database, directly from memory.

Repository: https://github.com/denandz/KeeFarce
Canonical: https://ross.abutalabs.com/products/keefarce
Language: C++
License: BSD-3-Clause
License Family: permissive
Last push: 2015-11-17T04:12:25+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3963, "days_push": 3942, "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 1029, forks 134 (observed 2026-08-28T04:03:17.656535+00:00)

## What it is
KeeFarce is a security tool that extracts passwords and other cleartext data from a running KeePass 2.x process by injecting a DLL into its memory. It dumps usernames, passwords, notes, and URLs to a CSV file using CLRMD and reflection against the KeePass process heap.

## Use cases
- extract passwords from a running keepass process
- dump keepass database credentials from memory
- red team tool for harvesting keepass secrets
- demonstrate risk of unlocked password managers
- penetration testing credential collection on windows

## When to avoid
- you need a legitimate way to export your own KeePass database - use KeePass's built-in export instead
- you target modern KeePass versions or operating systems, as the tool was last tested on KeePass 2.28-2.30 on Windows 8.1 and has not been updated since 2015
- you need a defensive or detection tool rather than an offensive one

## Facets
- artifact type: cli-tool
- maturity: abandoned
- function: security, reverse-engineering
- domain: security, penetration-testing
- platform: windows
- tags: password-extraction, dll-injection, keepass, memory-forensics, red-team, pentesting

## Member repositories
- denandz/KeeFarce (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:17.656535+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 2026-08-30T07:07:38.724590+00:00, confidence not recorded.
  - readme: https://github.com/denandz/KeeFarce (fetched 2026-08-28T04:03:17.656535+00:00, sha fdac245d9d51)
- Data as of 2026-08-30T08:39:29.467469+00:00.