Home/TensorRT-LLM/Trust report

Trust and health report

TensorRT-LLM - trust report

Sourced, dated trust signals - maintenance label posture, repository provenance, and security scan status. Not a composite safety grade.

GraphCanon updated today · GitHub synced today

Maintenance

Recency and activity heuristics from public GitHub metadata (maintenance label, momentum); methodology: github_public_v1.

Very active96% signal

last push 0d ago · last release 1w · 10 releases (90d)

Provenance

Repository identity and fork provenance (github_public_v1).

Security scan

Dependency advisory security scan when a lockfile is present. Not a full code audit.

Status
16 low
Last scan
today
Scanner
osv@v1

Findings

GHSA-7wx4-6vff-v64p
diffusers@0.37.1 · requirements.txt
GHSA-98h9-4798-4q5v
diffusers@0.37.1 · requirements.txt
PYSEC-2026-40
diffusers@0.37.1 · requirements.txt
PYSEC-2026-41
diffusers@0.37.1 · requirements.txt
GHSA-hwpq-hmq9-wj77
onnx@1.21.0 · requirements.txt
GHSA-38vq-g6vr-w8wf
sentencepiece@0.1.99 · requirements.txt
PYSEC-2026-1909
sentencepiece@0.1.99 · requirements.txt
GHSA-rrmf-rvhw-rf47
torch@2.11.0 · requirements.txt
GHSA-82w8-qh3p-5jfq
starlette@0.49.1 · requirements.txt
GHSA-86qp-5c8j-p5mr
starlette@0.49.1 · requirements.txt
GHSA-jp82-jpqv-5vv3
starlette@0.49.1 · requirements.txt
GHSA-wqp7-x3pw-xc5r
starlette@0.49.1 · requirements.txt
GHSA-x746-7m8f-x49c
starlette@0.49.1 · requirements.txt
PYSEC-2026-161
starlette@0.49.1 · requirements.txt
PYSEC-2026-248
starlette@0.49.1 · requirements.txt
PYSEC-2026-249
starlette@0.49.1 · requirements.txt

Method and caveats:these are sourced, dated heuristics from public GitHub data and optional dependency scans. A status like "no criticals found on 2026-07-11" is not a guarantee of safety. Read the full trust methodology · JSON report at /api/graphcanon/tools/nvidia-tensorrt-llm/trust.

Common questions

Is TensorRT-LLM maintained?
GraphCanon rates TensorRT-LLM "Very active" (96% maintenance signal from public GitHub metadata, computed today). Last push was 0 days ago. 10 GitHub releases in the last 90 days. This is a recency heuristic, not a guarantee the project will stay maintained.
Is TensorRT-LLM safe to use?
Last scanned today (deps profile). Status: 16 low - 16 low finding(s) in the latest scan. GraphCanon does not claim the project is safe or vulnerability-free; review findings on the trust report. GraphCanon does not certify TensorRT-LLM as safe - review maintenance, provenance, and scan findings on this page before adopting.
Is TensorRT-LLM a fork?
No. TensorRT-LLM is not flagged as a fork in GitHub metadata at the time of the last refresh.
Does TensorRT-LLM have known security vulnerabilities?
Last scanned today (deps profile). Status: 16 low - 16 low finding(s) in the latest scan. GraphCanon does not claim the project is safe or vulnerability-free; review findings on the trust report.
How often is the TensorRT-LLM trust report updated?
Trust signals refresh on GitHub ingest/refresh cycles and optional dependency/MCP scans. This report was computed today (methodology github_public_v1).
What does GraphCanon never claim about TensorRT-LLM?
We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for TensorRT-LLM. Signals are sourced heuristics with explicit limits - see trust methodology.
How does GraphCanon assess trust for TensorRT-LLM?
Signals are sourced from public GitHub metadata and optional dependency/MCP manifest scans, each tagged with methodology version and computed date. GraphCanon does not publish a composite safety grade. Read trust methodology for full scope and limits.