droid-llm-hunter — security grade SAFE, quality 68/100

Security audit verdict: SAFE · quality 68/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by roomkangali · Agent Tool · ★ 198

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is droid-llm-hunter safe to install? View the security audit →

About droid-llm-hunter

Droid LLM Hunter Droid LLM Hunter is an automated security analysis tool designed to detect vulnerabilities in Android applications with high precision. By combining traditional static analysis (SAST) with the contextual understanding of Large Language Models (LLMs), it bridges the gap between keyword-based scanning and human-like code review. It supports Hybrid Decompilation (Smali/Java), Context-Aware Analysis (Call Graphs), and Intelligent Risk Filtering, ensuring that security engineers can focus on verified, high-severity findings rather than false positives. Features Auto-Exploit Generation, transforming from a passive scanner into an active Red Team Assistant capable of verifying vulnerabilities with generated Proof-of-Concept (PoC) scripts. 📊 Dashboard Report Dashboard Report Droid-LLM-Hunter - web interface to visualize and manage security analysis reports. Link: dashboard-report-dlh 📱 VulnerApp for Testing VulnerAppDLH - a vulnerable Android application created specifically to test Droid-LLM-Hunter. Link: VulnerAppDLH 📦 Package Attributes <a href="https://github.c

androidscanning-toolvulnerability-scanners

Quick Facts

Stars198
Forks33
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score68.1402327853074/100
Last Updated2026-08-28
Created2026-01-01
Platformspython
Est. Tokens~15k

Compatible Skills

These tools work well together with droid-llm-hunter for enhanced workflows:

  • Android-MCP — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • claude-android-skill — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • droidmind — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • apktool-mcp-server — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • phone-mcp — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)

droid-llm-hunter alternative? Top 6 similar tools

Looking for a droid-llm-hunter alternative? If you're comparing droid-llm-hunter with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • Android-MCP by CursorTouch · ⭐ 802

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  • loli_profiler by Tencent · ⭐ 696

    Memory instrumentation tool with CI and AI support for android app&game developers.

  • apktool-mcp-server by zinja-coder · ⭐ 624

    A MCP Server for APK Tool (Part of Android Reverse Engineering MCP Suites)

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Frequently Asked Questions

What is droid-llm-hunter?

droid-llm-hunter is Droid LLM Hunter is a tool to scan for vulnerabilities in Android applications using Large Language Models (LLMs).. It is categorized as a Agent Tool with 198 GitHub stars.

What programming language is droid-llm-hunter written in?

droid-llm-hunter is primarily written in Python. It covers topics such as android, scanning-tool, vulnerability-scanners.

How do I install or use droid-llm-hunter?

You can find installation instructions and usage details in the droid-llm-hunter GitHub repository at github.com/roomkangali/droid-llm-hunter. The project has 198 stars and 33 forks, indicating an active community.

What license does droid-llm-hunter use?

droid-llm-hunter is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to droid-llm-hunter?

The top alternatives to droid-llm-hunter on Agent Skills Hub include Android-MCP, loli_profiler, apktool-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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