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Trust and health report

optimum-tpu - 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.

Archived8% signal

last push 169d ago · last release 1y

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
1 critical, 3 medium, 17 low
Last scan
today
Scanner
osv@v1

Findings

PyTorch susceptible to local Denial of Service
torch@2.5.1 · CVE-2025-2953 · requirements.txt
PyTorch: `torch.load` with `weights_only=True` leads to remote code execution
torch@2.5.1 · CVE-2025-32434 · requirements.txt
PyTorch Improper Resource Shutdown or Release vulnerability
torch@2.5.1 · CVE-2025-3730 · requirements.txt
PyTorch Tuple Handler is Vulnerable to Memory Corruption through Manipulation of None Argument
torch@2.5.1 · CVE-2025-2148 · requirements.txt
PyTorch is Vulnerable to Memory Consumption through pad_packed_sequence Function
torch@2.5.1 · CVE-2025-2998 · requirements.txt
PyTorch is vulnerable to memory corruption through its torch.lstm_cell function
torch@2.5.1 · CVE-2025-3001 · requirements.txt
PyTorch is vulnerable to memory corruption through its torch.jit.script function
torch@2.5.1 · CVE-2025-3000 · requirements.txt
PyTorch is vulnerable to memory corruption through its unpack_sequence function
torch@2.5.1 · CVE-2025-2999 · requirements.txt
PyTorch: Manipulation of the argument scale/zero_point leads to improper initialization via Quantized Sigmoid Module
torch@2.5.1 · CVE-2025-2149 · requirements.txt
PYSEC-2025-191
torch@2.5.1 · CVE-2025-2953 · requirements.txt
PYSEC-2025-198
torch@2.5.1 · CVE-2025-46148 · requirements.txt
PYSEC-2025-203
torch@2.5.1 · CVE-2025-55551 · requirements.txt
PYSEC-2025-204
torch@2.5.1 · CVE-2025-55552 · requirements.txt
PYSEC-2025-205
torch@2.5.1 · CVE-2025-55553 · requirements.txt
PYSEC-2025-206
torch@2.5.1 · CVE-2025-55554 · requirements.txt
PYSEC-2025-207
torch@2.5.1 · CVE-2025-55557 · requirements.txt
PYSEC-2025-208
torch@2.5.1 · CVE-2025-55558 · requirements.txt
PYSEC-2025-209
torch@2.5.1 · CVE-2025-55560 · requirements.txt
PYSEC-2025-41
torch@2.5.1 · CVE-2025-32434 · requirements.txt
PYSEC-2026-139
torch@2.5.1 · CVE-2026-4538 · requirements.txt
PyTorch Improper Resource Shutdown or Release vulnerability
torch@2.5.1 · CVE-2025-3730 · 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/huggingface-optimum-tpu/trust.

Common questions

Is optimum-tpu maintained?
optimum-tpu is archived on GitHub. GraphCanon treats archived repositories as dormant regardless of past activity.
Is optimum-tpu safe to use?
Last scanned today (deps profile). Status: 1 critical, 3 medium, 17 low - 1 critical, 3 medium, 17 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 optimum-tpu as safe - review maintenance, provenance, and scan findings on this page before adopting.
Is optimum-tpu a fork?
No. optimum-tpu is not flagged as a fork in GitHub metadata at the time of the last refresh.
Does optimum-tpu have known security vulnerabilities?
Last scanned today (deps profile). Status: 1 critical, 3 medium, 17 low - 1 critical, 3 medium, 17 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 optimum-tpu 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 optimum-tpu?
We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for optimum-tpu. Signals are sourced heuristics with explicit limits - see trust methodology.
How does GraphCanon assess trust for optimum-tpu?
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.