# sensity-ai/dot

The Deepfake Offensive Toolkit

Repository: https://github.com/sensity-ai/dot
Canonical: https://ross.abutalabs.com/products/sensity-ai-dot
Language: Python
License: BSD-3-Clause
License Family: permissive
Last push: 2024-06-14T10:03:07+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1551, "days_push": 810, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4586, forks 479 (observed 2026-08-28T04:08:54.614707+00:00)

## What it is
dot (Deepfake Offensive Toolkit) is a Python tool that generates real-time, controllable deepfakes from a webcam feed and injects them into virtual cameras. It is built for penetration testing of identity verification and video conferencing systems by security analysts, Red Teams, and biometrics researchers.

## Use cases
- test identity verification systems against deepfake attacks
- perform red team penetration tests on video KYC onboarding
- inject real-time face swap into a virtual camera
- animate a photo with first order motion model
- research liveness detection and biometric spoofing
- evaluate video conferencing systems against face impersonation

## When to choose
- you are a security analyst or red teamer testing facial verification or liveness systems
- you need real-time deepfake injection into virtual cameras without model training
- you research biometric spoofing defenses and need a reproducible attack toolkit

## When to avoid
- you need production-grade deepfake generation for media creation rather than security testing
- you lack GPU hardware for real-time inference
- your use case is not authorized security research - misuse may be illegal

## Facets
- artifact type: cli-tool
- maturity: active
- function: deep-learning, computer-vision, image-processing, video-processing, penetration-testing, gui
- domain: deep-learning, computer-vision, security, penetration-testing
- platform: python, windows
- tags: deepfake, face-swap, virtual-camera, red-team, biometrics, real-time, identity-verification-testing, linux, macos, gpu

## Member repositories
- sensity-ai/dot (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:54.614707+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 2026-08-29T18:19:52.207581+00:00, confidence not recorded.
  - readme: https://github.com/sensity-ai/dot (fetched 2026-08-28T04:08:54.614707+00:00, sha d7d3924b164a)
- Data as of 2026-08-30T08:39:29.467469+00:00.