CVE-2026-107290

MEDIUMPre-NVD 6.56.5
EchelonGraph scoreLOW confidence

This medium-severity CVE scores 6.5 under a secondary CVSS source (NVD's own analysis pending). EPSS exploit-prediction score not yet available (the EPSS model rescores nightly; freshly-published CVEs typically appear within 48 hours). GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).

Triggered by: NVD CVSS baseline
Sources: secondary
Trending — 3 sources updated this week
6.5EG
EchelonGraph verdictMonitorLow exploitation likelihood right now — keep watching.
  • Lower severity and no public exploit yet
CISA-KEV: Not listedEPSS PROB: 0.4%CVSS: 6.5Exploit: 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 1.77.0 until 1.107.6 and 2.44.0, the local web_fetch_tool and the WebFetch local fallback process server-controlled responses with quadratic title extraction, whitespace normalization, and ordered-list numbering. An attacker-controlled page of modest size can therefore block the event loop for an extended period, stalling other agent runs and requests, while unsupported codecs or excessive HTML or JSON nesting can abort an individual run. This issue is fixed in versions 1.107.6 and 2.44.0.

CVSS v3
6.5
EG Score
6.5MEDIUMlow confidence
EG Risk
29
EG Risk 29/100CISA SSVC

EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).

How it’s computed
Severity65% × 45%
Exploitation0% × 40%
Automatability0% × 15%
CISA SSVC: Track at every mission impact level.
Action: A fix is available. Apply it within your standard update timelines.
EPSS PROB
0.4%
EPSS %ILE
34th
KEV
Not listed

CISA SSVCTrack at every mission impact level.

A fix is available. Apply it within your standard update timelines.

Exploitation none (CISA Vulnrichment) · Automatable no (CISA Vulnrichment) · Technical impact partial (CISA Vulnrichment). Mission impact is CISA's Mission & Well-being decision point, and only you can judge it: high means the affected system is essential to your organisation's mission, or its compromise could cause irreversible harm to people. CISA's decision table

Published

October 8, 2026

Last Modified

October 9, 2026

Advisory Details (9)

Auto-updated Oct 8, 2026
Patch available. Sources: github_commit, github_pr.
github_pr Patch Available

Decode `web_fetch` response bodies in a worker thread and treat non-text charsets as failed fetches (v1 backport)

Patch available: pydantic/pydantic-ai v1.107.6 (PR #8434 merged 2026-09-17)

https://github.com/pydantic/pydantic-ai/pull/8434
github_pr Patch Available

Normalize whitespace and number lists in linear time in `web_fetch`'s markdown conversion

Patch available: pydantic/pydantic-ai v2.44.0 (PR #8418 merged 2026-09-17)

https://github.com/pydantic/pydantic-ai/pull/8418
github_pr Patch Available

Extract the `web_fetch` page title with a linear scan and convert HTML in linear time in a worker thread (v1 backport)

Patch available: pydantic/pydantic-ai v1.107.6 (PR #8399 merged 2026-09-17)

https://github.com/pydantic/pydantic-ai/pull/8399
github_pr Patch Available

Extract the `web_fetch` page title with a linear scan and convert HTML in a worker thread

Patch available: pydantic/pydantic-ai v2.44.0 (PR #8397 merged 2026-09-16)

https://github.com/pydantic/pydantic-ai/pull/8397
github_commit Patch Available

commit fb92ccfc3ca2 (pydantic/pydantic-ai)

Patch available: pydantic/pydantic-ai v2.44.0 (contains commit fb92ccfc3ca2)

https://github.com/pydantic/pydantic-ai/commit/fb92ccfc3ca2735dab877e2ed73856681bf72ad1
github_commit Patch Available

commit c3fd1cc1f15f (pydantic/pydantic-ai)

Patch available: pydantic/pydantic-ai v2.44.0 (contains commit c3fd1cc1f15f)

https://github.com/pydantic/pydantic-ai/commit/c3fd1cc1f15fdbf750d78e4e3ec1e8b4d6a3d920
github_commit Patch Available

commit a93ea5226be1 (pydantic/pydantic-ai)

Patch available: pydantic/pydantic-ai v1.107.6 (contains commit a93ea5226be1)

https://github.com/pydantic/pydantic-ai/commit/a93ea5226be1e93ae13131ae3f22287190411389
github_commit Patch Available

commit 9cdc952e4c33 (pydantic/pydantic-ai)

Patch available: pydantic/pydantic-ai v2.44.0 (contains commit 9cdc952e4c33)

https://github.com/pydantic/pydantic-ai/commit/9cdc952e4c3319e85a3e04f2de49fbbb765bd38b
github_commit Patch Available

commit 2faa6181d8a1 (pydantic/pydantic-ai)

Patch available: pydantic/pydantic-ai v1.107.6 (contains commit 2faa6181d8a1)

https://github.com/pydantic/pydantic-ai/commit/2faa6181d8a17d83bc9516d035c5270db8730fa0

Vendor Advisories for CVE-2026-107290(1)

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

Affected Packages

(2 across 1 ecosystem)
PyPI(2)
PackageVulnerable rangeFix by version rangeDependents
pydantic-ai1.100.0 ... 1.99.0 (41 versions)
  • 1.77.0 up to 1.107.6: fixed in 1.107.6
  • 2.0.0b1 up to 2.44.0: fixed in 2.44.0
—
pydantic-ai-slim1.100.0 ... 1.99.0 (41 versions)
  • 1.77.0 up to 1.107.6: fixed in 1.107.6
  • 2.0.0b1 up to 2.44.0: fixed in 2.44.0
—

Weakness Classification(1)

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

Data Freshness Timeline

(refreshed 6× in last 7d / 6× in last 30d)

Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. 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. Most recent first.

  1. 2026-10-09 20:06 UTCEPSS rescore
  2. 2026-10-09 16:35 UTCEG score recompute
  3. 2026-10-09 15:26 UTCEG score recompute
  4. 2026-10-08 17:26 UTCEG score recompute
  5. 2026-10-08 16:32 UTCEG score recompute
  6. 2026-10-08 16:31 UTCMITRE cvelistV5first tracked

Related CVEs(same product + same CWE)

Frequently asked(5)

What is CVE-2026-107290?
CVE-2026-107290 is a medium vulnerability published on October 8, 2026. Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.6 and 2.44.0, the local webfetchtool and the WebFetch local fallback process server-controlled responses with quadratic title extraction, whitespace normalization, and…
When was CVE-2026-107290 disclosed?
CVE-2026-107290 was first published on October 8, 2026, with the most recent update on October 9, 2026. EchelonGraph re-ingests CVE updates from NVD on a 2-hour cycle, so this page reflects the latest published state.
Is CVE-2026-107290 actively exploited?
CVE-2026-107290 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 0.4% probability of exploitation in the next 30 days (34th percentile of EPSS-scored CVEs).
What is the CVSS score of CVE-2026-107290?
CVE-2026-107290 has a CVSS base score of 6.5 (a secondary CVSS source that NVD displays; NVD's own analysis pending). The EG score is currently aggregating — additional source signals are being incorporated as they become available..
How do I remediate CVE-2026-107290?
A fix for CVE-2026-107290 is available: update to the fixed version the vendor names in its advisory. The vendor advisories EchelonGraph has for CVE-2026-107290 are linked in the Vendor Advisories panel on this page.

Dependency Blast Radius

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