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Trust and health report

LazyLLM - 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

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 2w · 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
31
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-9hjg-9r4m-mvj7
requests@2.32.2 · osv@v1
requirements.txt
GHSA-gc5v-m9x4-r6x2
requests@2.32.2 · osv@v1
requirements.txt
PYSEC-2026-1872
requests@2.32.2 · osv@v1
requirements.txt
GHSA-39mp-8hj3-5c49
gradio@5.49.1 · osv@v1
requirements.txt
GHSA-7hp7-4p35-3cx2
gradio@5.49.1 · osv@v1
requirements.txt
GHSA-h3h8-3v2v-rg7m
gradio@5.49.1 · osv@v1
requirements.txt
GHSA-jmh7-g254-2cq9
gradio@5.49.1 · osv@v1
requirements.txt
GHSA-pfjf-5gxr-995x
gradio@5.49.1 · osv@v1
requirements.txt
PYSEC-2026-211
gradio@5.49.1 · osv@v1
requirements.txt
PYSEC-2026-63
gradio@5.49.1 · osv@v1
requirements.txt
PYSEC-2026-64
gradio@5.49.1 · osv@v1
requirements.txt
PYSEC-2026-65
gradio@5.49.1 · osv@v1
requirements.txt
PYSEC-2026-66
gradio@5.49.1 · osv@v1
requirements.txt
GHSA-7gcm-g887-7qv7
protobuf@3.20.1 · osv@v1
requirements.txt
GHSA-8gq9-2x98-w8hf
protobuf@3.20.1 · osv@v1
requirements.txt
GHSA-8qvm-5x2c-j2w7
protobuf@3.20.1 · osv@v1
requirements.txt
PYSEC-2026-1805
protobuf@3.20.1 · osv@v1
requirements.txt
PYSEC-2026-1806
protobuf@3.20.1 · osv@v1
requirements.txt
PYSEC-2026-899
protobuf@3.20.1 · osv@v1
requirements.txt
GHSA-752w-5fwx-jx9f
pyjwt@2.8.0 · osv@v1
requirements.txt
GHSA-993g-76c3-p5m4
pyjwt@2.8.0 · osv@v1
requirements.txt
GHSA-fhv5-28vv-h8m8
pyjwt@2.8.0 · osv@v1
requirements.txt
GHSA-w7vc-732c-9m39
pyjwt@2.8.0 · osv@v1
requirements.txt
GHSA-xgmm-8j9v-c9wx
pyjwt@2.8.0 · osv@v1
requirements.txt
PYSEC-2025-183
pyjwt@2.8.0 · osv@v1
requirements.txt
PYSEC-2026-120
pyjwt@2.8.0 · osv@v1
requirements.txt
PYSEC-2026-175
pyjwt@2.8.0 · osv@v1
requirements.txt
PYSEC-2026-177
pyjwt@2.8.0 · osv@v1
requirements.txt
PYSEC-2026-178
pyjwt@2.8.0 · osv@v1
requirements.txt
PYSEC-2026-179
pyjwt@2.8.0 · osv@v1
requirements.txt
GHSA-54jj-px8x-5w5q
deepdiff@8.6.1 · 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/lazyagi-lazyllm/trust.

Common questions

Is LazyLLM maintained?
GraphCanon rates LazyLLM "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 LazyLLM safe to use?
Last scanned 1mo (deps profile). Status: 31 low - 31 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 LazyLLM as safe - review maintenance, provenance, and scan findings on this page before adopting.
Is LazyLLM a fork?
No. LazyLLM is not flagged as a fork in GitHub metadata at the time of the last refresh.
Does LazyLLM have known security vulnerabilities?
Last scanned 1mo (deps profile). Status: 31 low - 31 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 LazyLLM 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 LazyLLM?
We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for LazyLLM. Signals are sourced heuristics with explicit limits - see trust methodology.
How does GraphCanon assess trust for LazyLLM?
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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