# chvancooten/follina.py

POC to replicate the full 'Follina' Office RCE vulnerability for testing purposes

Repository: https://github.com/chvancooten/follina.py
Canonical: https://ross.abutalabs.com/products/follinapy
Language: Smarty
License Family: other
Last push: 2023-02-24T16:08:08+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": 1556, "days_push": 1286, "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 1139, forks 247 (observed 2026-08-28T04:03:44.233270+00:00)

## What it is
A proof-of-concept Python script that replicates the 'Follina' MS-MSDT Microsoft Office remote code execution vulnerability for local testing. It generates malicious docx/rtf payload documents and serves the exploit payload via a configurable built-in web server.

## Use cases
- replicate the follina office rce vulnerability for testing
- generate a malicious docx or rtf payload for security testing
- test endpoint detection of ms-msdt exploit documents
- run a local web server hosting an exploit html payload
- verify office hardening against follina-style attacks

## When to choose
- you need a quick, configurable POC of the Follina MS-MSDT RCE for red team or detection testing
- you want to generate both docx and rtf payload variants with custom commands or binaries

## When to avoid
- you need a production-safe or stealthy offensive tool
- you require a maintained tool with a license or ongoing support
- you are testing vulnerabilities other than Follina/MS-MSDT

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: security, penetration-testing, cli
- domain: security, penetration-testing, developer-tools
- platform: python, cli, cross-platform
- tags: exploit-poc, follina, ms-msdt, office-rce, red-team, vulnerability-replication

## Member repositories
- chvancooten/follina.py (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:44.233270+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 2026-08-30T06:35:51.495807+00:00, confidence not recorded.
  - readme: https://github.com/chvancooten/follina.py (fetched 2026-08-28T04:03:44.233270+00:00, sha 0d673211b164)
- Data as of 2026-08-30T08:39:29.467469+00:00.