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 CSIT-SG · Agent Tool · ★ 75
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AETHER safe to install? View the security audit →
AETHER - AI-Powered IDA Pro Reverse Engineering Plugin An AI-powered reverse-engineering copilot for assisting tedious malware analysis in IDA Pro. Table of Contents AETHER - AI-Powered IDA Pro Reverse Engineering Plugin Table of Contents Overview Key Features Improvements over Raw IDA Pro MCP Requirements Minimum System Requirements API Requirements Installation Release Documentation Troubleshooting Issues and Support Limitations Contributing Authors/Maintainers License Acknowledgments Sources Overview AETHER is an advanced IDA Pro plugin tha
| Stars | 75 |
| Forks | 5 |
| Language | Python |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 73.0486414722806/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-18 |
| Created | 2026-03-02 |
| Platforms | python |
| Est. Tokens | ~15k |
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AETHER is An AI-powered reverse-engineering copilot for assisting tedious malware analysis in IDA Pro.. It is categorized as a Agent Tool with 75 GitHub stars.
AETHER is primarily written in Python. It covers topics such as ida-plugin, idapro, python.
You can find installation instructions and usage details in the AETHER GitHub repository at github.com/CSIT-SG/AETHER. The project has 75 stars and 5 forks, indicating an active community.
AETHER is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to AETHER on Agent Skills Hub include mcp-server-idapro, IDAssistMCP, claude-context-local. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: