Security Deep Dive
Guardrails
Security posture and CVE patch evidence from tracked releases.
2 critical dependency CVEs affects v0.22.0.
Audit transitive dependencies; consider upgrading or pinning replacements.
Trust Signals — 3 of 9 Present
Evidence already collected from releases and repository metadata.
Security Score
A composite score aggregating Scorecard performance, CVE patch history, OpenSSF badge tier, and dependency vulnerability exposure. Score ≥ 7.0 is healthy; < 4.0 warrants attention.
epss
0.25 / 0.5
No EPSS data
freshness
1.00 / 1.0
Up to date
scorecard
2.00 / 4.0
⚠ Estimated — not yet collected
cve health
0.50 / 2.5
No open CVEs
patch speed
0.50 / 0.5
⚠ Estimated — no CVE patch history
kev exposure
1.50 / 1.5
No KEV exposure
supply chain risk
-1.50 / 10.0
Risk 40.8/100
Score breakdown
schema v2Vulnerability posture
vulnerability posture
2.0
25%
Release responsiveness
release responsiveness
10.0
5%
Dependency exposure
dependency exposure
5.9
10%
Provenance trust
provenance trust
5.0
40%
Maintainer health
maintainer health
10.0
10%
Operational risk
operational risk
8.5
10%
How is this calculated?
The six dimensions group the legacy score signals into weighted categories: direct vulnerability status, patch responsiveness, dependency exposure, provenance checks, maintainer activity, and exploitability risk. The flat component values above remain available for compatibility.
Supply Chain Risk
Risk 40.8/100OpenSSF Badge
Badge indicates adherence to open-source best practices.
Dependency Vulnerabilities
Scanning the SBOM (Software Bill of Materials) of the latest release for known vulnerabilities in transitive dependencies.
Critical
2
High
16
Medium
20
Low
10
Unknown
1
| CVE | Severity | KEV | Dependency | Affected version | Cleared in release |
|---|---|---|---|---|---|
| CVE-2024-48063 | critical | — | torch | 2.0.0 | v0.22.0 |
| CVE-2025-32434 | critical | — | torch | 2.0.0 | v0.22.0 |
| CVE-2024-24762 | high | — | fastapi | 0.103.1 | v0.22.0 |
| CVE-2024-31580 | high | — | torch | 2.0.0 | v0.22.0 |
| CVE-2024-31583 | high | — | torch | 2.0.0 | v0.22.0 |
| CVE-2024-47874 | high | — | starlette | 0.36.2 | v0.22.0 |
| CVE-2026-25990 | high | — | pillow | 11.3.0 | v0.22.0 |
| CVE-2026-30922 | high | — | pyasn1 | 0.6.2 | v0.22.0 |
| CVE-2026-31958 | high | — | tornado | 6.5.4 | v0.22.0 |
| CVE-2026-32640 | high | — | simpleeval | 1.0.3 | v0.22.0 |
| CVE-2026-34070 | high | — | langchain-core | 1.2.17 | v0.22.0 |
| CVE-2026-35536 | high | — | tornado | 6.5.4 | v0.22.0 |
| CVE-2026-40192 | high | — | pillow | 11.3.0 | v0.22.0 |
| CVE-2026-42215 | high | — | gitpython | 3.1.46 | v0.22.0 |
| CVE-2026-42284 | high | — | gitpython | 3.1.46 | v0.22.0 |
| CVE-2026-42311 | high | — | pillow | 11.3.0 | v0.22.0 |
| CVE-2026-44243 | high | — | gitpython | 3.1.46 | v0.22.0 |
| CVE-2026-44244 | high | — | gitpython | 3.1.46 | v0.22.0 |
| CVE-2020-28364 | medium | — | locust | — | v0.22.0 |
| CVE-2024-3772 | medium | — | pydantic | 1.10.9 | v0.22.0 |
| CVE-2024-5206 | medium | — | scikit-learn | 1.2.2 | v0.22.0 |
| CVE-2025-3730 | medium | — | torch | 2.0.0 | v0.22.0 |
| CVE-2025-54121 | medium | — | starlette | 0.36.2 | v0.22.0 |
| CVE-2025-71176 | medium | — | pytest | 8.4.2 | v0.22.0 |
| CVE-2026-1839 | medium | — | transformers | 4.57.6 | v0.22.0 |
| CVE-2026-22815 | medium | — | aiohttp | 3.13.3 | v0.22.0 |
| CVE-2026-25645 | medium | — | requests | 2.32.5 | v0.22.0 |
| CVE-2026-34515 | medium | — | aiohttp | 3.13.3 | v0.22.0 |
| CVE-2026-34516 | medium | — | aiohttp | 3.13.3 | v0.22.0 |
| CVE-2026-34525 | medium | — | aiohttp | 3.13.3 | v0.22.0 |
| CVE-2026-39892 | medium | — | cryptography | 46.0.5 | v0.22.0 |
| CVE-2026-40087 | medium | — | langchain-core | 1.2.17 | v0.22.0 |
| CVE-2026-41182 | medium | — | langsmith | 0.7.12 | v0.22.0 |
| CVE-2026-41481 | medium | — | langchain-text-splitters | 1.1.1 | v0.22.0 |
| CVE-2026-42308 | medium | — | pillow | 11.3.0 | v0.22.0 |
| CVE-2026-42309 | medium | — | pillow | 11.3.0 | v0.22.0 |
| CVE-2026-42310 | medium | — | pillow | 11.3.0 | v0.22.0 |
| GHSA-78cv-mqj4-43f7 | medium | — | tornado | 6.5.4 | v0.22.0 |
| CVE-2025-2953 | low | — | torch | 2.0.0 | v0.22.0 |
| CVE-2026-34073 | low | — | cryptography | 46.0.5 | v0.22.0 |
| CVE-2026-34513 | low | — | aiohttp | 3.13.3 | v0.22.0 |
| CVE-2026-34514 | low | — | aiohttp | 3.13.3 | v0.22.0 |
| CVE-2026-34517 | low | — | aiohttp | 3.13.3 | v0.22.0 |
| CVE-2026-34518 | low | — | aiohttp | 3.13.3 | v0.22.0 |
| CVE-2026-34519 | low | — | aiohttp | 3.13.3 | v0.22.0 |
| CVE-2026-34520 | low | — | aiohttp | 3.13.3 | v0.22.0 |
| CVE-2026-41488 | low | — | langchain-openai | 1.1.10 | v0.22.0 |
| CVE-2026-4539 | low | — | pygments | 2.19.2 | v0.22.0 |
| CVE-2024-31584 | unknown | — | torch | 2.0.0 | v0.22.0 |
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