qybaihe/bla

🛡️ BLA (Blind LLM Agents) — Adversarial defense shield that protects binaries, Electron apps, JS bundles, Python, and WebAssembly against AI reverse-engineering agents like REA. Poison -> Exhaust -> Hallucinate.

Open original source ↗

From the publisher

README & documentation

Source preview

Read the project’s overview, installation instructions and usage examples. The original README is the source of truth.

English · 简体中文 · 繁體中文 · 日本語 · 한국어 · Türkçe · Русский · Tiếng Việt · ไทย · Deutsch · Español · Français · Українська · Polski · Português (Brasil) · العربية · فارسی · Bahasa Indonesia · Italiano · Ελληνικά · മലയാളം · Roman Urdu · Română Point BLA at the build you ship. When an AI reverse-engineering agent (REA) opens it, the analyzer hits resource budgets, follows decoys, and burns tokens — while your users still get the same runtime behavior. [](https://www.npmjs.com/package/bla-agents) [](docs/cli-and-mcp.md) [](#format-coverage) [](#empirical-results-vs-real-rea) [](LICENSE) Website · Guides · Showcases · Disclaimer Quick start · Empirical results · Format coverage · Benchmark · FAQ REA reverse-engineers release artifacts in one command. BLA is the Counter-REA half of that story: One sentence covers the common case (auto-discovers dist/ / build/ / .asar / .wasm / .sqlite / models / … and runs audit → protect → verify):…

qybaihe/bla on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-30T13:36:29.687Z

Inside the original README — Document outline
  1. BLA: Blind LLM Agents
  2. Make reverse engineering bankrupt again.
  3. What BLA does
  4. Quick start
  5. Empirical results vs real REA
  6. Empirically verified on commodity hardware
  7. Designed-for but not empirically verified here
  8. Format coverage
  9. Benchmark (14 targets, internal estimates)
  10. How BLA works
  11. FAQ
  12. Documentation

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the README

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

🛡️ BLA (Blind LLM Agents) — Adversarial defense shield that protects binaries, Electron apps, JS bundles, Python, and WebAssembly against AI reverse-engineering agents like REA. Poison -> Exhaust -> Hallucinate.

Repository facts

Owner
qybaihe
Primary language
JavaScript
Stars
1,770
Forks
241
Open issues + pull requests
10
License
MIT
Archived
No
Default branch
main
Created
2026-10-25T05:25:45.000Z
Last push
2026-11-01T09:01:18.000Z

Topics and intended use

Owner-supplied topics: adversarial-ai, claude-code, cursor, electron-security, llm-security, mcp, mcp-server, obfuscation, reverse-engineering, webassembly

Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.

Evaluate before installing

Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.

README and project files

Issues and maintenance discussion

Releases and changelog

Source and freshness

Source: GitHub. Metadata observed 2026-11-01T12:17:46.653Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related repositories

affaan-m/ECC

react/react

trekhleb/javascript-algorithms

CyC2018/CS-Notes

DietrichGebert/ponytail

Snailclimb/JavaGuide