# Mr-Un1k0d3r/DKMC

DKMC - Dont kill my cat - Malicious payload evasion tool

Repository: https://github.com/Mr-Un1k0d3r/DKMC
Canonical: https://ross.abutalabs.com/products/dkmc
Language: Python
License: NOASSERTION
License Family: other
Archived: true
Last push: 2020-07-20T03:36:56+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3558, "days_push": 2235, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1418, forks 288 (observed 2026-08-28T04:04:40.247984+00:00)

## What it is
DKMC (Don't Kill My Cat) is a Python CLI tool that embeds obfuscated shellcode inside valid BMP images, producing polyglot files that are both legitimate images and executable shellcode. It generates PowerShell delivery payloads and can serve the malicious images via a built-in web server to evade sandbox analysis.

## Use cases
- hide shellcode inside a valid BMP image
- evade sandbox analysis of malicious payloads
- generate PowerShell download-and-execute payloads
- deliver shellcode payloads over a web server
- red team payload obfuscation

## When to choose
- you need to embed shellcode in a polyglot image for red team engagements
- you want a simple interactive CLI for payload obfuscation and PowerShell delivery

## When to avoid
- you need modern evasion against current Windows protections, since the tool is unmaintained and Windows 10 RWX restrictions limit it
- you need a maintained tool with active support or a clear license

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: security, penetration-testing, cli
- domain: security, penetration-testing
- platform: python, cli, windows
- tags: shellcode, evasion, polyglot, red-team, payload-delivery, powershell, linux, macos

## Member repositories
- Mr-Un1k0d3r/DKMC (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:40.247984+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 2026-08-30T04:37:55.349907+00:00, confidence not recorded.
  - readme: https://github.com/Mr-Un1k0d3r/DKMC (fetched 2026-08-28T04:04:40.247984+00:00, sha 9209dd0f3b18)
- Data as of 2026-08-30T08:39:29.467469+00:00.