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Trust and health report

aeneas - trust report

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

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

53views this month

Maintenance

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

Steady60% signal

last push 56d ago · last release Mar 16, 2017

+11 stars (30d) · 0 open issues (30d)

Provenance

Repository identity and fork provenance (github_public_v1).

  • GitHub repo id: 35419406
  • Not a fork
  • Personal account
  • Computed Sep 20, 2026

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
Jul 11, 2026
Scanner
osv@v1
Stored findings
24
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-55x5-fj6c-h6m8
lxml@3.6.0 · osv@v1
requirements.txt
GHSA-jq4v-f5q6-mjqq
lxml@3.6.0 · osv@v1
requirements.txt
GHSA-pgww-xf46-h92r
lxml@3.6.0 · osv@v1
requirements.txt
GHSA-vfmq-68hx-4jfw
lxml@3.6.0 · osv@v1
requirements.txt
GHSA-wrxv-2j5q-m38w
lxml@3.6.0 · osv@v1
requirements.txt
GHSA-xp26-p53h-6h2p
lxml@3.6.0 · osv@v1
requirements.txt
PYSEC-2018-12
lxml@3.6.0 · osv@v1
requirements.txt
PYSEC-2020-62
lxml@3.6.0 · osv@v1
requirements.txt
PYSEC-2021-19
lxml@3.6.0 · osv@v1
requirements.txt
PYSEC-2021-852
lxml@3.6.0 · osv@v1
requirements.txt
PYSEC-2022-230
lxml@3.6.0 · osv@v1
requirements.txt
PYSEC-2026-87
lxml@3.6.0 · osv@v1
requirements.txt
GHSA-5545-2q6w-2gh6
numpy@1.9 · osv@v1
requirements.txt
GHSA-6p56-wp2h-9hxr
numpy@1.9 · osv@v1
requirements.txt
GHSA-9fq2-x9r6-wfmf
numpy@1.9 · osv@v1
requirements.txt
GHSA-f7c7-j99h-c22f
numpy@1.9 · osv@v1
requirements.txt
GHSA-fpfv-jqm9-f5jm
numpy@1.9 · osv@v1
requirements.txt
GHSA-frgw-fgh6-9g52
numpy@1.9 · osv@v1
requirements.txt
PYSEC-2017-1
numpy@1.9 · osv@v1
requirements.txt
PYSEC-2019-108
numpy@1.9 · osv@v1
requirements.txt
PYSEC-2021-854
numpy@1.9 · osv@v1
requirements.txt
PYSEC-2021-855
numpy@1.9 · osv@v1
requirements.txt
PYSEC-2021-856
numpy@1.9 · osv@v1
requirements.txt
PYSEC-2021-857
numpy@1.9 · 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/readbeyond-aeneas/trust.

Common questions

Is aeneas maintained?
GraphCanon rates aeneas "Steady" (60% maintenance signal from public GitHub metadata, computed Sep 20, 2026). Last push was 56 days ago. This is a recency heuristic, not a guarantee the project will stay maintained.
Is aeneas safe to use?
Last scanned Jul 11, 2026 (deps profile). Status: 24 low - 24 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 aeneas as safe - review maintenance, provenance, and scan findings on this page before adopting.
Is aeneas a fork?
No. aeneas is not flagged as a fork in GitHub metadata at the time of the last refresh.
Does aeneas have known security vulnerabilities?
Last scanned Jul 11, 2026 (deps profile). Status: 24 low - 24 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 aeneas trust report updated?
Trust signals refresh on GitHub ingest/refresh cycles and optional dependency/MCP scans. This report was computed Sep 20, 2026 (methodology github_public_v1).
What does GraphCanon never claim about aeneas?
We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for aeneas. Signals are sourced heuristics with explicit limits - see trust methodology.
How does GraphCanon assess trust for aeneas?
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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