Tools / pydantic-ai / Security

Security Deep Dive

pydantic-ai

Security posture and CVE patch evidence from tracked releases.

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1 critical dependency CVE affects v1.105.0.

Audit transitive dependencies; consider upgrading or pinning replacements.

— Signed — SLSA — SBOM ✗ Security policy Weekly cadence · 1d median Active maintainer

Trust Signals — 2 of 9 Present

Evidence already collected from releases and repository metadata.

2/9 Present

Signed releases Unknown

Latest release artifact signature Latest release

—

SLSA provenance Unknown

Attestation predicate level Latest release

—

SBOM published Unknown

GitHub SBOM API Latest release

—

SECURITY.md Absent

GitHub repository metadata Repository policy

Checked: 23d ago

Release cadence: weekly Present

1d median over recent releases Release history

Latest release: 1d ago

Maintainer active Present

Recent commit activity Repository

Last commit: 2d ago

Checksums (SHA256SUMS) Not active yet

SHA256SUMS or equivalent Release asset

Latest release: 1d ago

GitHub Actions attestation Not active yet

actions/attest-build-provenance Workflow file

Latest release: 1d ago

Signing assets Not active yet

.sig, .crt, cosign.pub, or similar Release asset

Latest release: 1d ago

4.8/10 Security Score

Dependency Exposure 35 transitive dependency CVEs found in the latest SBOM. 1 critical.

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

1d stale

scorecard

2.00 / 4.0

⚠ Estimated — not yet collected

cve health

1.00 / 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 27.1/100

Score breakdown

schema v2

Vulnerability posture

vulnerability posture

4.0

25%

direct cves: clear cve scan: available

Release responsiveness

release responsiveness

10.0

patch speed days: no_history

Dependency exposure

dependency exposure

7.3

10%

supply chain risk: 27.12 transitive cves: 1c/11h

Provenance trust

provenance trust

5.0

40%

scorecard score: estimated openssf badge: none

Maintainer health

maintainer health

10.0

10%

activity freshness: 1d

Operational risk

operational risk

8.5

10%

kev exposure: clear epss max: none

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 27.1/100

1 Transitive critical CVEs

0 KEV-transitive CVEs

44% Dependency freshness

OpenSSF Badge

OpenSSF none

Badge indicates adherence to open-source best practices.

Dependency Vulnerabilities

572 dependencies scanned View full dependency list →

Scanning the SBOM (Software Bill of Materials) of the latest release for known vulnerabilities in transitive dependencies.

Critical

High

Medium

Low

Unknown

Still affecting latest (17) All (35)

Critical 1 High 11 Medium 21 Low 2

CVE	Severity	KEV	Dependency	Affected version	Cleared in release
CVE-2026-41242	critical	—	protobufjs	7.5.4	v1.91.0
CVE-2026-25048	high	—	xgrammar	0.1.29	v1.91.0
CVE-2026-25580	high	—	pydantic-ai	—	v1.91.0
CVE-2026-25640	high	—	pydantic-ai	—	v1.91.0
CVE-2026-27893	high	—	vllm	0.16.0	v1.91.0
CVE-2026-34444	high	—	lupa	2.6	v1.91.0
CVE-2026-40192	high	—	pillow	12.1.1	v1.91.0
CVE-2026-41066	high	—	lxml	6.0.2	v1.91.0
CVE-2026-41486	high	—	ray	2.54.0	v1.91.0
CVE-2026-42311	high	—	pillow	12.1.1	v1.91.0
CVE-2026-42561	high	—	python-multipart	0.0.22	v1.91.0
CVE-2026-44307	high	—	mako	1.3.10	v1.91.0
CVE-2025-69872	medium	—	diskcache	5.6.3	v1.91.0
CVE-2025-71176	medium	—	pytest	9.0.2	v1.91.0
CVE-2026-1839	medium	—	transformers	4.57.6	v1.91.0
CVE-2026-25960	medium	—	vllm	0.16.0	v1.91.0
CVE-2026-28684	medium	—	python-dotenv	1.2.1	v1.91.0
CVE-2026-3219	medium	—	pip	26.0.1	v1.91.0
CVE-2026-34753	medium	—	vllm	0.16.0	v1.91.0
CVE-2026-34755	medium	—	vllm	0.16.0	v1.91.0
CVE-2026-34756	medium	—	vllm	0.16.0	v1.91.0
CVE-2026-39892	medium	—	cryptography	46.0.6	v1.91.0
CVE-2026-40087	medium	—	langchain-core	1.2.26	v1.91.0
CVE-2026-40347	medium	—	python-multipart	0.0.22	v1.91.0
CVE-2026-41182	medium	—	langsmith	0.6.4	v1.91.0
CVE-2026-41205	medium	—	mako	1.3.10	v1.91.0
CVE-2026-41425	medium	—	authlib	1.6.9	v1.91.0
CVE-2026-41481	medium	—	langchain-text-splitters	1.1.0	v1.91.0
CVE-2026-42308	medium	—	pillow	12.1.1	v1.91.0
CVE-2026-42309	medium	—	pillow	12.1.1	v1.91.0
CVE-2026-42310	medium	—	pillow	12.1.1	v1.91.0
CVE-2026-44222	medium	—	vllm	0.16.0	v1.91.0
CVE-2026-6357	medium	—	pip	26.0.1	v1.91.0
CVE-2026-4539	low	—	pygments	2.19.2	v1.91.0
CVE-2026-7141	low	—	vllm	0.16.0	v1.91.0

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