ai-llm-inference
Pass
Audited by Gen Agent Trust Hub on Sep 23, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDATA_EXFILTRATION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The benchmarking script
scripts/latency_benchmark.pyand various guidance documents describe workflows that involve ingesting untrusted data from external model responses and user prompts. - Ingestion points:
scripts/latency_benchmark.py(ingests model completions and user-provided prompts). - Boundary markers: Absent in the utility script.
- Capability inventory: Performs network requests (HTTP POST) via
urllib.requestto communicate with LLM endpoints. - Sanitization: Absent; the script processes JSON responses and handles input strings directly.
- [DATA_EXFILTRATION]: The benchmarking tool
scripts/latency_benchmark.pyperforms network operations usingurllib. It is designed to send requests to an--endpointprovided by the user, which may include non-whitelisted external domains. While this is the intended functionality for a model testing tool, it represents a standard network communication surface.
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