https://github.com/emcie-co/parlant.git
· scanned 2026-05-16 09:47 UTC (2 weeks, 6 days ago)
· 10 languages
246 findings (27 legacy + 219 scanner) 80th percentile · Python · large (100-500K LoC) Scanner says 60 (higher by 24)
Last scanned 2 weeks, 6 days ago · v1 · 25 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.
Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.
.well-known/security.txt
src/parlant/adapters/nlp/azure_service.py:592
src/parlant/adapters/vector_db/qdrant.py:350
src/parlant/core/services/tools/plugins.py:11
src/parlant/core/services/tools/mcp_service.py:11
src/parlant/adapters/nlp/glm_service.py:1
src/parlant/adapters/nlp/gemini_service.py:379
src/parlant/adapters/nlp/fireworks_service.py:120
src/parlant/adapters/nlp/fireworks_service.py:102
src/parlant/adapters/nlp/fireworks_service.py:17
src/parlant/adapters/nlp/deepseek_service.py:192
src/parlant/adapters/nlp/deepseek_service.py:116
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