# ev-flow/quark-engine

Repository: https://github.com/ev-flow/quark-engine
Canonical: https://ross.abutalabs.com/products/quark-engine
Homepage: https://doc.quark-engine.com
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: defcon, android, blackhat, blackbox, malware-analysis, malware-detection
Last push: 2026-08-20T11:40:28+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 96, longevity 100
- inputs: {"age_days": 2508, "days_push": 13, "days_rel": 26, "gap_med": 28, "n_releases_24m": 24}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1713, forks 215 (observed 2026-08-28T04:05:25.993296+00:00)

## What it is
Quark Engine is an Android malware scoring and analysis system that inspects APKs using rule-based behavioral detection on Dalvik bytecode. It generates malware family analysis reports and is resilient to obfuscation techniques.

## Use cases
- analyze an android apk for malicious behavior
- score android malware samples against behavior rules
- detect malware families in apk files
- find vulnerabilities in android apps blackbox
- triage suspicious android apps
- generate malware analysis reports

## When to choose
- you need automated android malware triage and scoring
- you want obfuscation-resilient behavioral analysis of apks
- you work in malware research and want rule-based detection

## When to avoid
- you need iOS or desktop malware analysis
- you require dynamic sandbox execution rather than static analysis

## Facets
- artifact type: cli-tool
- maturity: active
- function: security, vulnerability-scanning, reverse-engineering
- domain: security, reverse-engineering, android-tools
- platform: python, cli, windows
- tags: android, malware-analysis, malware-scoring, blackbox-analysis, dalvik-bytecode, linux, macos

## Member repositories
- ev-flow/quark-engine (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:25.993296+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 2026-08-30T03:34:42.158979+00:00, confidence not recorded.
  - readme: https://github.com/ev-flow/quark-engine (fetched 2026-08-28T04:05:25.993296+00:00, sha a1877b4354b6)
- Data as of 2026-08-30T08:39:29.467469+00:00.