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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.

Latest metrics (snapshot 2026-10-28)

stars162
forks41
issues0
pushed_at2026-10-28T02:49:58Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-28162

ADC Momentum: 64/100

ADC Momentum 64 Leaderboard

Growth velocity72
Consistency58
Recency99
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

description🛡️ 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.
urlhttps://github.com/qybaihe/bla
languageTypeScript
licenseMIT
topicsadversarial-ai
claude-code
cursor
electron-security
llm-security
mcp
mcp-server
obfuscation
reverse-engineering
webassembly
created_at2026-10-25T05:25:45Z
homepagehttps://bla.tools

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