Home/filco/Trust report

Trust and health report

filco - trust report

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

GraphCanon updated 3w · GitHub synced 3w

Maintenance

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

Dormant18% signal

last push 846d ago

Provenance

Repository identity and fork provenance (github_public_v1).

  • GitHub repo id: 718814616
  • Not a fork
  • Personal account
  • Computed 3w

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
46
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)

transformers has a Deserialization of Untrusted Data vulnerability
transformers@4.25.1 · CVE-2023-6730 · osv@v1
requirements.txt
HuggingFace transformers vulnerable to remote code execution
transformers@4.25.1 · CVE-2026-4372 · osv@v1
requirements.txt
Deserialization of Untrusted Data in Hugging Face Transformers
transformers@4.25.1 · CVE-2024-11394 · osv@v1
requirements.txt
Deserialization of Untrusted Data in Hugging Face Transformers
transformers@4.25.1 · CVE-2024-11392 · osv@v1
requirements.txt
transformers has a Deserialization of Untrusted Data vulnerability
transformers@4.25.1 · CVE-2023-7018 · osv@v1
requirements.txt
Deserialization of Untrusted Data in Hugging Face Transformers
transformers@4.25.1 · CVE-2024-11393 · osv@v1
requirements.txt
transformers has Insecure Temporary File
transformers@4.25.1 · CVE-2023-2800 · osv@v1
requirements.txt
Transformers is vulnerable to ReDoS attack through its DonutProcessor class
transformers@4.25.1 · CVE-2025-3933 · osv@v1
requirements.txt
Hugging Face Transformers vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer
transformers@4.25.1 · CVE-2025-6921 · osv@v1
requirements.txt
Hugging Face Transformers is vulnerable to ReDoS through its MarianTokenizer
transformers@4.25.1 · CVE-2025-6638 · osv@v1
requirements.txt
HuggingFace Transformers allows for arbitrary code execution in the `Trainer` class
transformers@4.25.1 · CVE-2026-1839 · osv@v1
requirements.txt
Transformers Regular Expression Denial of Service (ReDoS) vulnerability
transformers@4.25.1 · CVE-2024-12720 · osv@v1
requirements.txt
Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability
transformers@4.25.1 · CVE-2025-5197 · osv@v1
requirements.txt
Transformers Regular Expression Denial of Service (ReDoS) vulnerability
transformers@4.25.1 · CVE-2025-1194 · osv@v1
requirements.txt
Transformers vulnerable to ReDoS attack through its get_imports() function
transformers@4.25.1 · CVE-2025-3264 · osv@v1
requirements.txt
Transformers's ReDoS vulnerability in get_configuration_file can lead to catastrophic backtracking
transformers@4.25.1 · CVE-2025-3263 · osv@v1
requirements.txt
Hugging Face Transformers Regular Expression Denial of Service
transformers@4.25.1 · CVE-2025-2099 · osv@v1
requirements.txt
Hugging Face Transformers library has Regular Expression Denial of Service
transformers@4.25.1 · CVE-2025-6051 · osv@v1
requirements.txt
Transformers Deserialization of Untrusted Data vulnerability
transformers@4.25.1 · CVE-2024-3568 · osv@v1
requirements.txt
Transformers's Improper Input Validation vulnerability can be exploited through username injection
transformers@4.25.1 · CVE-2025-3777 · osv@v1
requirements.txt
PYSEC-2025-211
transformers@4.25.1 · CVE-2025-14920 · osv@v1
requirements.txt
PYSEC-2025-212
transformers@4.25.1 · CVE-2025-14921 · osv@v1
requirements.txt
PYSEC-2025-213
transformers@4.25.1 · CVE-2025-14924 · osv@v1
requirements.txt
PYSEC-2025-214
transformers@4.25.1 · CVE-2025-14926 · osv@v1
requirements.txt
PYSEC-2025-215
transformers@4.25.1 · CVE-2025-14927 · osv@v1
requirements.txt
PYSEC-2025-216
transformers@4.25.1 · CVE-2025-14928 · osv@v1
requirements.txt
PYSEC-2025-217
transformers@4.25.1 · CVE-2025-14929 · osv@v1
requirements.txt
PYSEC-2025-218
transformers@4.25.1 · CVE-2025-14930 · 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/zorazrw-filco/trust.

Common questions

Is filco maintained?
GraphCanon rates filco "Dormant" (18% maintenance signal from public GitHub metadata, computed 3w). Last push was 846 days ago. This is a recency heuristic, not a guarantee the project will stay maintained.
Is filco safe to use?
Last scanned 1mo (deps profile). Status: 1 critical, 5 high, 12 medium, 28 low - 1 critical, 5 high, 12 medium, 28 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 filco as safe - review maintenance, provenance, and scan findings on this page before adopting.
Is filco a fork?
No. filco is not flagged as a fork in GitHub metadata at the time of the last refresh.
Does filco have known security vulnerabilities?
Last scanned 1mo (deps profile). Status: 1 critical, 5 high, 12 medium, 28 low - 1 critical, 5 high, 12 medium, 28 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 filco trust report updated?
Trust signals refresh on GitHub ingest/refresh cycles and optional dependency/MCP scans. This report was computed 3w (methodology github_public_v1).
What does GraphCanon never claim about filco?
We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for filco. Signals are sourced heuristics with explicit limits - see trust methodology.
How does GraphCanon assess trust for filco?
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.

Was this helpful?

Anonymous feedback helps us improve pages and translations.