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 ngwg · MCP Server · ★ 110
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ceasta safe to install? View the security audit →
ceasta a disassembler, decompiler and debugger in one — for windows and linux ida-style listing, a decompiler, a function graph, an x64dbg-style debugger, lua plugins, and a built-in MCP server so you can point an AI at a binary — one small program, everything vendored, nothing to install to build. one function, three ways ceasta shows the same code from raw bytes up to readable c, so you can drop to whatever level you need: text ; assembly - the real instructions // pseudocode (f5) - reconstructed c checksum proc int checksum(int rdi) movzx edx, byte ptr [rdi] { test dl, dl rdx = (char)rdi; je loc1191 if (rdx == 0) { mov eax, 0x1505 return 0x1505; loc1179: } mov ecx, eax
| Stars | 110 |
| Forks | 3 |
| Language | C++ |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 61.2784422954558/100 |
| Last Updated | 2026-09-26 |
| Created | 2025-10-07 |
| Platforms | mcp |
| Est. Tokens | ~19k |
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ceasta is disassembler, decompiler and debugger in one, with a built-in mcp server: point an ai at a binary and it can debug it, not just read it. ida-style listing, pseudocode (f5), x64dbg-style debugger (wind. It is categorized as a MCP Server with 110 GitHub stars.
ceasta is primarily written in C++. It covers topics such as capstone, capstone-project, cpp.
You can find installation instructions and usage details in the ceasta GitHub repository at github.com/ngwg/ceasta. The project has 110 stars and 3 forks, indicating an active community.
ceasta is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to ceasta on Agent Skills Hub include OpenImageDebugger, rea, x64dbg_mcp. 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: