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bla

MCP server · GitHub · ★ 1.1k · graded 2026-10-30Source linked

🛡️ 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.

No outside reports on file

This tool is experimental and unproven in production environments; use it only after thorough testing, and do not rely on it as your only security layer.

Based on public adoption and transparency signals as of Oct 30, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesNo local folder access notedLOW
  • Command executionNo shell command runner notedLOW
  • Network reachConnects to outside service APINOTED
  • CredentialsNo API token requiredLOW
  • Package sourceGitHub (qybaihe/bla)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/qybaihe/bla ↗

All setup options ↓

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Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-30.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Bla

BLA is a tool designed to protect software code and applications from AI agents that try to reverse-engineer or analyze them. It works by intentionally poisoning, exhausting, or confusing AI tools that scan binaries, web apps, Python scripts, and other code formats.

Who it’s for

Developers and security teams who want to defend their proprietary code against automated AI-powered reverse engineering attacks. Organizations concerned about AI agents extracting sensitive logic or intellectual property from their applications.

Alternatives

  • Closure Compiler (Google's JavaScript optimizer and minifier)
  • PyArmor (Python code encryption and obfuscation tool)
  • IDA Pro or Ghidra (reverse-engineering defense analysis tools)
  • Standard code obfuscation libraries (tool-specific obfuscators for your language)

Setup

Check these steps against the project’s own instructions before running anything.

Follow the project's README at https://github.com/qybaihe/bla (opens external site) for installation and integration instructions, as this tool's setup depends on your code type (binary, Electron, JavaScript, Python, or WebAssembly).

Why this grade

CC — Moderate risk signals

Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

34/100
GitHub stars
1.1k
Listing last refreshed
2026-10-30

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

  • Code obfuscation side effects: The tool modifies your code to confuse AI agents, which could accidentally break features or performance if not tested carefully.
  • False sense of security: There is no guarantee this stops all AI reverse-engineering attempts; attackers may find ways around these defenses.
  • Maintenance burden: Keeping protection updated as AI tools evolve requires ongoing work and monitoring.
  • Compatibility issues: Adding defense layers might conflict with your build tools, libraries, or runtime environments.
  • Limited real-world testing: The project is relatively new with modest adoption (1119 GitHub stars), so edge cases may exist.

How to lower the risk

Least-privilege permissions

  • Run the tool with minimal file access needed to process your code.
  • Review generated output before deploying to production.

Network isolation

  • Process sensitive code offline or in isolated environments.
  • Do not send proprietary code to untrusted services during the protection step.

Monitoring

  • Watch for performance degradation after applying protections.
  • Test protected applications across target platforms and use cases.

Red flags to watch for

  • Crashes or unexpected behavior in protected applications.
  • Warnings from security scanners about modified code.

Questions

How do I install Bla?

Bla does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/qybaihe/bla.

Are there security reports about Bla?

No reports found for this package in our research (last checked 2026-10-30). Bla currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include code obfuscation side effects, false sense of security, maintenance burden.

Is Bla actively maintained?

Bla has 1.1k GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/qybaihe/bla before pinning it in production.

What are alternatives to Bla?

Notable alternatives to Bla include Closure Compiler, PyArmor, IDA Pro or Ghidra, Standard code obfuscation libraries. You can also compare Bla side by side with other MCP servers in the Related tools section on this page.

README badge and team notes

Maintain or use Bla? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Bla

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Bla](https://agentarmorhq.com/api/badge/qybaihe-bla)](https://agentarmorhq.com/skills/qybaihe-bla)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/qybaihe-bla"><img src="https://agentarmorhq.com/api/badge/qybaihe-bla" alt="AgentArmorHQ Risk Grade for Bla" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "qybaihe-bla"

Share with your security lead

Need sign-off to use bla? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: bla
- **Listing URL:** https://agentarmorhq.com/skills/qybaihe-bla
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.1k GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (qybaihe/bla)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/qybaihe/bla
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 30, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
App connector
Publisher
qybaihe
Source code
github.com/qybaihe/bla
Est. context load
~550 tokens / turn (~3 tool schemas, 0.27% of 200k context)
Popularity
1.1k GitHub stars
Last updated
2026-10-30
Last graded
2026-10-30

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