Security Deep Dive
openai-agents-python
Security posture and CVE patch evidence from tracked releases.
2 high-severity dependency CVEs affects v0.17.4.
Review the dependency vulnerabilities below.
Versions by Severity
CVEs are attributed to tracked releases published before the patch release.
| Version | Published | C | H | M | L | KEV | Notes |
|---|---|---|---|---|---|---|---|
| v0.17.4 | 2026-05-26 | — | — | — | — | — |
Latest
|
| v0.17.3 | 2026-05-19 | — | — | — | — | — |
—
|
| v0.17.2 | 2026-05-12 | — | — | — | — | — |
—
|
| v0.17.1 | 2026-05-11 | — | — | — | — | — |
—
|
| v0.17.0 | 2026-05-08 | — | — | — | — | — |
—
|
| v0.16.1 | 2026-05-07 | — | — | — | — | — |
—
|
| v0.16.0 | 2026-05-07 | — | — | — | — | — |
Patches
CVE-2026-42208
|
| v0.15.3 | 2026-05-06 | 1 | — | — | — | KEV 1 |
—
|
| v0.15.2 | 2026-05-06 | 1 | — | — | — | KEV 1 |
—
|
| v0.15.1 | 2026-05-02 | 1 | — | — | — | KEV 1 |
—
|
| v0.15.0 | 2026-05-01 | 1 | — | — | — | KEV 1 |
—
|
| v0.14.8 | 2026-04-29 | 1 | — | — | — | KEV 1 |
—
|
| v0.14.7 | 2026-04-28 | 1 | — | — | — | KEV 1 |
—
|
| v0.14.6 | 2026-04-25 | 1 | — | — | — | KEV 1 |
—
|
| v0.14.5 | 2026-04-23 | 1 | — | — | — | KEV 1 |
—
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| v0.14.4 | 2026-04-21 | 1 | — | — | — | KEV 1 |
—
|
| v0.14.3 | 2026-04-20 | 1 | — | — | — | KEV 1 |
—
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| v0.14.2 | 2026-04-18 | 1 | — | — | — | KEV 1 |
—
|
| v0.14.1 | 2026-04-15 | 1 | — | — | — | KEV 1 |
—
|
| v0.14.0 | 2026-04-15 | 1 | — | — | — | KEV 1 |
—
|
Trust Signals — 2 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
Max EPSS 0.543
freshness
1.00 / 1.0
3d stale
scorecard
2.00 / 4.0
⚠ Estimated — not yet collected
cve health
0.00 / 2.5
⚠ No direct scan — 1c/19h transitive CVEs
patch speed
0.50 / 0.5
⚠ Estimated — no CVE patch history
kev exposure
-1.50 / 1.5
KEV exposure detected
supply chain risk
-1.50 / 10.0
Risk 43.2/100
Score breakdown
schema v2Vulnerability posture
vulnerability posture
0.0
25%
Release responsiveness
release responsiveness
10.0
5%
Dependency exposure
dependency exposure
5.7
10%
Provenance trust
provenance trust
5.0
40%
Maintainer health
maintainer health
10.0
10%
Operational risk
operational risk
1.5
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 43.2/100OpenSSF Badge
Badge indicates adherence to open-source best practices.
CVE Patch History
Tracks CVEs that were addressed in tagged releases. Shorter gap between disclosure and patch = faster response. EPSS = predicted probability of exploitation in next 30 days (FIRST.org); colored at ≥90%ile and ≥50%ile.
CVEs Patched by Year
| CVE | Severity | EPSS | Disclosed | Fixed in | Days to fix | vs Ecosystem Median | KEV |
|---|---|---|---|---|---|---|---|
| CVE-2026-42208 | CRITICAL | 98%ile | — | v0.16.0 | — | — | KEV |
KEV = CISA Known Exploited Vulnerabilities catalog — actively exploited in the wild.
Dependency Vulnerabilities
Scanning the SBOM (Software Bill of Materials) of the latest release for known vulnerabilities in transitive dependencies.
Critical
0
High
2
Medium
1
Low
0
Unknown
0
| CVE | Severity | KEV | Dependency | Affected version | Cleared in release |
|---|---|---|---|---|---|
| CVE-2026-24486 | high | — | python-multipart | 0.0.20 | v0.16.0 |
| CVE-2026-42561 | high | — | python-multipart | 0.0.20 | v0.16.0 |
| CVE-2026-40347 | medium | — | python-multipart | 0.0.20 | v0.16.0 |
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