CVE-2026-107286

HIGHPre-NVD 7.57.5
EchelonGraph scoreHIGH confidence

“—” beside the score: it is equal to the CVSS score beside it.

Score 7.5 from GitHub Security Advisory (severity: HIGH) published 2026-10-08. A secondary CVSS source baseline 7.5; sources differ by 0.0.

Triggered by: GitHub Security Advisory CVSS
Sources: EPSS, GitHub Security Advisory, a secondary CVSS source
Trending — 3 sources updated this week

Also known asEUVD-2026-95039 (ENISA EUVD) · GHSA-6fqq-452j-qhrp (GitHub Security Advisories)Source: ENISA EUVD

7.5EG
EchelonGraph verdictPlan a fixRemediate within your standard update timelines at low or medium mission impact and sooner than that at high (the SSVC decision on this page).
  • High severity, but no confirmed exploitation yet
CISA-KEV: Not listedEPSS PROB: 0.4%CVSS: 7.5Exploit: None knownExposed services: Not assessed

A fix is available — apply it.

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 2.10.0 until 2.53.0, streamed requests made through ConcurrencyLimitedModel or limit_model_concurrency can retain shared concurrency slots because anyio.CapacityLimiter associates an acquired slot with the borrowing task while streaming cleanup can run in a different task. Early stream termination, cancellation, consumer exceptions, or complete stream_text() consumption with debounce_by=0.1 can therefore leave capacity occupied, eventually preventing later requests that share the long-lived limiter from proceeding and causing a denial of service. Agent-level max_concurrency and non-streaming model requests are not affected. This issue is fixed in version 2.53.0.

CVSS v3
7.5
EG Score
7.5HIGHhigh confidence
EG Risk
49
EG Risk 49/100

EG Risk is EchelonGraph's 0–100 priority score. It fuses impact severity (EG Severity, the CVSS base score, never the KEV-floored or EPSS-lifted EG Score) with real-world exploitation and automatability, under weights EchelonGraph set by hand, so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner.

How it’s computed (value × EchelonGraph’s weight)
Severity75% × 45%
Impact severity (EG Severity): CVSS 7.5 of 10. Never the KEV-floored or EPSS-lifted EG Score.
Exploitation0.4% × 40%
FIRST EPSS: the 30-day exploitation probability when EchelonGraph scored this CVE.
Automatability100% × 15%
CISA's SSVC Automatable value: yes (Vulnrichment).
SSVC (CISA's decision table, applied by EchelonGraph): Track at low or medium mission impact; Attend at high (mission-essential systems).
Exploitation none (CISA Vulnrichment) · Automatable yes (CISA Vulnrichment) · Technical impact partial (CISA Vulnrichment). All three are CISA's SSVC values (Vulnrichment). EchelonGraph applied CISA's decision table to them; CISA publishes SSVC inputs and the table, not a decision for each CVE.
Action: A fix is available. Apply it within your standard update timelines at low or medium mission impact and sooner than that at high.
EPSS PROB
0.4%
EPSS %ILE
39th
KEV
Not listed

What the EG score is made of (scorer v4.0: the three questions the 0–10 score mixes, published apart · methodology)

The EG score (7.5): severity, escalated by confirmed exploitation. This CVE's 7.5 is its impact severity (EG Severity), not escalated.

EG Severity
7.5 HIGHCVSS-B, impact only: no KEV listing, EPSS or EG-KEV tier raises it.GitHub Security Advisory CVSS
EG Likelihood
0.4% within 30 daysSource: FIRST EPSS (model v2026.06.15, score date 2026-10-31). FIRST's exploitation probability, not an EchelonGraph model.
Confirmed exploitation
None on record (CISA KEV, EG-KEV Tier 1)Reported apart from the likelihood: an observed fact, not a probability.
EG Priority
SSVC Track at medium mission impactTrack at low or medium mission impact; Attend at high (mission-essential systems).CISA BOD 26-04: 14 days if the affected system is publicly exposed; 60 days if it is not.Each input and its source, and whom BOD 26-04 binds: the SSVC and BOD 26-04 blocks below.

SSVC (CISA's decision table, applied by EchelonGraph)Track at low or medium mission impact; Attend at high (mission-essential systems).

A fix is available. Apply it within your standard update timelines at low or medium mission impact and sooner than that at high.

Exploitation none (CISA Vulnrichment) · Automatable yes (CISA Vulnrichment) · Technical impact partial (CISA Vulnrichment). All three are CISA's SSVC values (Vulnrichment). EchelonGraph applied CISA's decision table to them; CISA publishes SSVC inputs and the table, not a decision for each CVE. Mission impact is CISA's Mission & Well-being decision point, and only you can judge it. CISA's table makes it high when Mission Prevalence is Essential — the vulnerable component "directly provides capabilities that constitute at least one MEF for at least one entity" (MEF: mission essential function) — or when Public Well-Being Impact is Irreversible: "multiple fatalities are likely", the cyber-physical system "is likely lost or destroyed", "extreme or serious externalities" are imposed on other parties, or social systems such as elections or the financial grid "are destabilized and potentially collapse". CISA's decision table

BOD 26-04 (CISA's remediation timeline, Table 1)14 days if the affected system is publicly exposed; 60 days if it is not.

The score's inputs: In CISA KEV no (CISA's KEV catalog) · Automatable yes (CISA Vulnrichment) · Technical impact partial (CISA Vulnrichment). Whether your system is publicly exposed is yours to answer. BOD 26-04 binds US Federal Civilian Executive Branch agencies; for anyone else it is CISA's published timeline, a reference rather than an obligation. The directive · how EchelonGraph applies it

Published

October 8, 2026

Last Modified

October 13, 2026

Advisory Details (4)

Auto-updated Oct 8, 2026
Patch available. Sources: github_commit, github_pr, github_release, github.
GitHub advisoryMentions a patch (unverified)

Concurrency-limited model streams can retain slots after completion or interruption · Advisory · pydantic/pydantic-ai · GitHub

https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-6fqq-452j-qhrp
GitHub release Patch Available

v2.53.0 (2026-10-01)

Patch available: pydantic/pydantic-ai v2.53.0

https://github.com/pydantic/pydantic-ai/releases/tag/v2.53.0
GitHub pull request Patch Available

Fix `RuntimeError` and a leaked slot when streaming through `ConcurrencyLimitedModel`

Patch available: pydantic/pydantic-ai v2.53.0 (PR #9478 merged 2026-10-02)

https://github.com/pydantic/pydantic-ai/pull/9478
GitHub commit Patch Available

commit 453f19feeb7a (pydantic/pydantic-ai)

Patch available: pydantic/pydantic-ai v2.53.0 (contains commit 453f19feeb7a)

https://github.com/pydantic/pydantic-ai/commit/453f19feeb7ab1d789f9393b1723c6a73b3d77b2

Vendor Advisories for CVE-2026-107286(1)

These vendors published their own advisory mentioning this CVE — often with vendor-specific remediation steps + affected product lists not in NVD.

Patch Availability(1)

Vendor / EcosystemFix (by version range) / PatchReleasedSource
pippydantic-ai @ 2.53.0 (fixes >= 2.10.0, < 2.53.0)—ghsa

Patches are aggregated from vendor advisories (Red Hat, Microsoft, Cisco, GitHub) and package ecosystems (OSV, GHSA). Multiple rows for the same upstream release have been deduplicated.

Affected Packages

(2 across 1 ecosystem)
PyPI(2)
PackageVulnerable rangeFix by version rangeDependents
pydantic-ai2.10.0 ... 2.52.0 (50 versions)
  • 2.10.0 up to 2.53.0: fixed in 2.53.0
—
pydantic-ai-slim2.10.0 ... 2.52.0 (50 versions)
  • 2.10.0 up to 2.53.0: fixed in 2.53.0
—

Weakness Classification(1)

MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.

Data Freshness Timeline

(refreshed 10× in last 7d / 41× in last 30d)

Each row is a time one of our pipelines fetched, updated or re-scored this CVE. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. An arrow marks a change the record states ("CVSS v3 → 9.1"); EPSS and GHSA rows show the values recorded at that time, not what changed (EPSS values are rounded; hover one for the exact figures). Most recent first.

  1. 2026-11-01 16:33 UTCEPSS rescoreEPSS 0.4% · 39th percentile
  2. 2026-11-01 08:00 UTCGHSA enrichmentGHSA-6fqq-452j-qhrp · GitHub severity HIGH · GitHub CVSS 7.5
  3. 2026-11-01 08:00 UTCEG score recompute
  4. 2026-10-31 16:31 UTCEPSS rescoreEPSS 0.4% · 39th percentile
  5. 2026-10-30 16:33 UTCEPSS rescoreEPSS 0.4% · 39th percentile
  6. 2026-10-29 16:32 UTCEPSS rescoreEPSS 0.4% · 39th percentile
  7. 2026-10-28 16:31 UTCEPSS rescoreEPSS 0.4% · 38th percentile
  8. 2026-10-27 19:17 UTCEG score recompute
  9. 2026-10-27 16:31 UTCEPSS rescoreEPSS 0.4% · 38th percentile
  10. 2026-10-26 16:30 UTCEPSS rescoreEPSS 0.4% · 38th percentile
  11. 2026-10-25 16:32 UTCEPSS rescoreEPSS 0.4% · 38th percentile
  12. 2026-10-25 14:54 UTCEG score recompute
  13. 2026-10-24 16:32 UTCEPSS rescoreEPSS 0.4% · 38th percentile
  14. 2026-10-23 16:31 UTCEPSS rescoreEPSS 0.4% · 38th percentile
  15. 2026-10-22 16:33 UTCEPSS rescoreEPSS 0.4% · 38th percentile
  16. 2026-10-21 16:32 UTCEPSS rescoreEPSS 0.4% · 38th percentile
  17. 2026-10-20 16:32 UTCEPSS rescoreEPSS 0.4% · 37th percentile
  18. 2026-10-20 09:56 UTCEG score recompute
  19. 2026-10-19 16:31 UTCEPSS rescoreEPSS 0.4% · 37th percentile
  20. 2026-10-18 16:31 UTCEPSS rescoreEPSS 0.4% · 37th percentile
  21. 2026-10-18 05:07 UTCEG score recompute
  22. 2026-10-17 16:33 UTCEPSS rescoreEPSS 0.4% · 37th percentile
  23. 2026-10-16 16:40 UTCEPSS rescoreEPSS 0.4% · 37th percentile
  24. 2026-10-15 16:31 UTCEPSS rescoreEPSS 0.4% · 37th percentile
  25. 2026-10-14 16:32 UTCEPSS rescoreEPSS 0.4% · 37th percentile
Show 16 more
  1. 2026-10-13 16:33 UTCEPSS rescoreEPSS 0.4% · 37th percentile
  2. 2026-10-12 16:38 UTCEG score recompute
  3. 2026-10-12 16:33 UTCEPSS rescoreEPSS 0.4% · 37th percentile
  4. 2026-10-11 20:14 UTCEG score recompute
  5. 2026-10-11 18:26 UTCEG score recompute
  6. 2026-10-11 13:47 UTCEPSS rescoreEPSS 0.4% · 37th percentile
  7. 2026-10-11 13:42 UTCEG score recompute
  8. 2026-10-11 00:31 UTCEG score recompute
  9. 2026-10-10 19:59 UTCEPSS rescoreEPSS 0.4% · 37th percentile
  10. 2026-10-09 22:34 UTCEG score recompute
  11. 2026-10-09 20:06 UTCEPSS rescoreEPSS 0.4% · 37th percentile
  12. 2026-10-08 18:37 UTCEG score recompute
  13. 2026-10-08 17:31 UTCEG score recompute
  14. 2026-10-08 15:20 UTCEG score recompute
  15. 2026-10-08 15:17 UTCEG score recomputeFirst assessed: 7.5 HIGH
  16. 2026-10-08 15:16 UTCMITRE cvelistV5first tracked

Frequently asked(5)

What is CVE-2026-107286?
CVE-2026-107286 is a high-severity vulnerability; its CVE record was published on October 8, 2026. Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 2.10.0 until 2.53.0, streamed requests made through ConcurrencyLimitedModel or limit_model_concurrency can retain shared concurrency slots because anyio.CapacityLimiter associates an acquired…
When was the CVE record for CVE-2026-107286 published?
The CVE record for CVE-2026-107286 was published on October 8, 2026. That is the record's publication date; the vulnerability itself may have been made public earlier. EchelonGraph's copy of the record carries a last-modified date of October 13, 2026; the record at its source may have been updated since.
Is CVE-2026-107286 actively exploited?
CVE-2026-107286 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 0.4% probability of exploitation in the next 30 days (39th percentile of EPSS-scored CVEs).
What is the CVSS score of CVE-2026-107286?
CVE-2026-107286 has a CVSS base score of 7.5 (a secondary CVSS source that NVD displays; NVD's own analysis pending).
How do I remediate CVE-2026-107286?
A fix for CVE-2026-107286 is available: update to the fixed version the vendor names in its advisory. The vendor advisories EchelonGraph has for CVE-2026-107286 are linked in the Vendor Advisories panel on this page.

Dependency Blast Radius

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