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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 2w · GitHub synced 2w · 27 views this month

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 3w · 9 releases (90d)

Provenance

Repository identity and fork provenance (github_public_v1).

Security intelligence

Source-by-source security scan results from public intelligence providers. Missing, partial, or failed queries are shown explicitly and are not treated as clean.

OSV dependency advisories

Published findings
Last query
1mo
Scanner
osv@v1
Stored findings
16
View source evidence

deps.dev advisories

Not queried
Scanner
deps.dev@v1
View source evidence

OpenSSF Scorecard

Not queried
Scanner
openssf-scorecard@v1

Weekly public scans omit some checks at scale.

View source evidence

Dependency advisories (deduplicated)

GHSA-7wx4-6vff-v64p
diffusers@0.37.1 · osv@v1
requirements.txt
GHSA-98h9-4798-4q5v
diffusers@0.37.1 · osv@v1
requirements.txt
PYSEC-2026-40
diffusers@0.37.1 · osv@v1
requirements.txt
PYSEC-2026-41
diffusers@0.37.1 · osv@v1
requirements.txt
GHSA-hwpq-hmq9-wj77
onnx@1.21.0 · osv@v1
requirements.txt
GHSA-38vq-g6vr-w8wf
sentencepiece@0.1.99 · osv@v1
requirements.txt
PYSEC-2026-1909
sentencepiece@0.1.99 · osv@v1
requirements.txt
GHSA-rrmf-rvhw-rf47
torch@2.11.0 · osv@v1
requirements.txt
GHSA-82w8-qh3p-5jfq
starlette@0.49.1 · osv@v1
requirements.txt
GHSA-86qp-5c8j-p5mr
starlette@0.49.1 · osv@v1
requirements.txt
GHSA-jp82-jpqv-5vv3
starlette@0.49.1 · osv@v1
requirements.txt
GHSA-wqp7-x3pw-xc5r
starlette@0.49.1 · osv@v1
requirements.txt
GHSA-x746-7m8f-x49c
starlette@0.49.1 · osv@v1
requirements.txt
PYSEC-2026-161
starlette@0.49.1 · osv@v1
requirements.txt
PYSEC-2026-248
starlette@0.49.1 · osv@v1
requirements.txt
PYSEC-2026-249
starlette@0.49.1 · osv@v1
requirements.txt

Method and caveats: these are sourced, dated heuristics from public GitHub data and external security intelligence providers. A status like "no published findings from this source" 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 2w). Last push was 0 days ago. 9 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 1mo (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 1mo (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 2w (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.

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