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.
CVE-2026-107290
“—” beside the score: it is equal to the CVSS score beside it.
Score 6.5 from GitHub Security Advisory (severity: MODERATE) published 2026-10-08. A secondary CVSS source baseline 6.5; sources differ by 0.0.
Also known asEUVD-2026-95093 (ENISA EUVD) · GHSA-fpf4-vwcp-v4hp (GitHub Security Advisories) · PYSEC-2026-4277 (OSV.dev) · PYSEC-2026-4286 (OSV.dev)Source: ENISA EUVD
- Lower severity and no public exploit yet
A fix is available — apply it.
- CVSS v3
- 6.5
- EG Score
- 6.5MEDIUMhigh confidence
- EG Risk
- 29EG Risk 29/100
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)Severity65% × 45%Impact severity (EG Severity): CVSS 6.5 of 10. Never the KEV-floored or EPSS-lifted EG Score.Exploitation0.5% × 40%FIRST EPSS: the 30-day exploitation probability when EchelonGraph scored this CVE.Automatability0% × 15%CISA's SSVC Automatable value: no (Vulnrichment).SSVC (CISA's decision table, applied by EchelonGraph): Track at every mission impact level.Exploitation none (CISA Vulnrichment) · Automatable no (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. - EPSS PROB
- 0.5%
- EPSS %ILE
- 43rd
- 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 (6.5): severity, escalated by confirmed exploitation. This CVE's 6.5 is its impact severity (EG Severity), not escalated.
- EG Severity
- 6.5 MEDIUMCVSS-B, impact only: no KEV listing, EPSS or EG-KEV tier raises it.GitHub Security Advisory CVSS
- EG Likelihood
- 0.5% 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 every mission impact level.CISA BOD 26-04: 60 days if the affected system is publicly exposed; Fix on system upgrade 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 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). 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)60 days if the affected system is publicly exposed; Fix on system upgrade if it is not.
The score's inputs: In CISA KEV no (CISA's KEV catalog) · Automatable no (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 (9)
Auto-updated Oct 8, 2026Decode `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/8434Normalize 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/8418Extract 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/8399Extract 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/8397commit fb92ccfc3ca2 (pydantic/pydantic-ai)
Patch available: pydantic/pydantic-ai v2.44.0 (contains commit fb92ccfc3ca2)
https://github.com/pydantic/pydantic-ai/commit/fb92ccfc3ca2735dab877e2ed73856681bf72ad1commit c3fd1cc1f15f (pydantic/pydantic-ai)
Patch available: pydantic/pydantic-ai v2.44.0 (contains commit c3fd1cc1f15f)
https://github.com/pydantic/pydantic-ai/commit/c3fd1cc1f15fdbf750d78e4e3ec1e8b4d6a3d920commit a93ea5226be1 (pydantic/pydantic-ai)
Patch available: pydantic/pydantic-ai v1.107.6 (contains commit a93ea5226be1)
https://github.com/pydantic/pydantic-ai/commit/a93ea5226be1e93ae13131ae3f22287190411389commit 9cdc952e4c33 (pydantic/pydantic-ai)
Patch available: pydantic/pydantic-ai v2.44.0 (contains commit 9cdc952e4c33)
https://github.com/pydantic/pydantic-ai/commit/9cdc952e4c3319e85a3e04f2de49fbbb765bd38bcommit 2faa6181d8a1 (pydantic/pydantic-ai)
Patch available: pydantic/pydantic-ai v1.107.6 (contains commit 2faa6181d8a1)
https://github.com/pydantic/pydantic-ai/commit/2faa6181d8a17d83bc9516d035c5270db8730fa0Vendor 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.
Patch Availability(2)
| Vendor / Ecosystem | Fix (by version range) / Patch | Released | Source |
|---|---|---|---|
| pip | pydantic-ai @ 1.107.6 (fixes >= 1.77.0, < 1.107.6) | — | ghsa |
| pip | pydantic-ai @ 2.44.0 (fixes >= 2.0.0b1, < 2.44.0) | — | 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)
| Package | Vulnerable range | Fix by version range | Dependents |
|---|---|---|---|
| pydantic-ai | 2.0.0 ... 2.9.1 (60 versions) |
| — |
| pydantic-ai-slim | 2.0.0 ... 2.9.1 (60 versions) |
| — |
Weakness Classification(2)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 10× in last 7d / 39× 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.
- 2026-11-01 16:33 UTCEPSS rescoreEPSS 0.5% · 43rd percentile
- 2026-11-01 08:00 UTCGHSA enrichmentGHSA-fpf4-vwcp-v4hp · GitHub severity MODERATE · GitHub CVSS 6.5
- 2026-11-01 08:00 UTCEG score recompute
- 2026-10-31 16:31 UTCEPSS rescoreEPSS 0.5% · 43rd percentile
- 2026-10-30 16:33 UTCEPSS rescoreEPSS 0.5% · 43rd percentile
- 2026-10-29 16:32 UTCEPSS rescoreEPSS 0.5% · 43rd percentile
- 2026-10-28 16:31 UTCEPSS rescoreEPSS 0.5% · 43rd percentile
- 2026-10-27 16:31 UTCEPSS rescoreEPSS 0.5% · 43rd percentile
- 2026-10-27 11:55 UTCOSV refresh
- 2026-10-26 16:30 UTCEPSS rescoreEPSS 0.5% · 43rd percentile
- 2026-10-25 16:32 UTCEPSS rescoreEPSS 0.5% · 43rd percentile
- 2026-10-25 14:54 UTCEG score recompute
- 2026-10-24 16:32 UTCEPSS rescoreEPSS 0.4% · 37th percentile
- 2026-10-23 16:31 UTCEPSS rescoreEPSS 0.4% · 37th percentile
- 2026-10-22 16:33 UTCEPSS rescoreEPSS 0.4% · 37th percentile
- 2026-10-21 16:32 UTCEPSS rescoreEPSS 0.4% · 37th percentile
- 2026-10-20 16:32 UTCEPSS rescoreEPSS 0.4% · 37th percentile
- 2026-10-19 16:31 UTCEPSS rescoreEPSS 0.4% · 37th percentile
- 2026-10-18 16:31 UTCEPSS rescoreEPSS 0.4% · 36th percentile
- 2026-10-18 05:07 UTCEG score recompute
- 2026-10-17 16:33 UTCEPSS rescoreEPSS 0.4% · 36th percentile
- 2026-10-16 16:40 UTCEPSS rescoreEPSS 0.4% · 36th percentile
- 2026-10-15 16:31 UTCEPSS rescoreEPSS 0.4% · 36th percentile
- 2026-10-14 16:32 UTCEPSS rescoreEPSS 0.4% · 36th percentile
- 2026-10-13 16:33 UTCEPSS rescoreEPSS 0.4% · 34th percentile
Show 14 moreShow fewer
- 2026-10-12 16:38 UTCEG score recompute
- 2026-10-12 16:33 UTCEPSS rescoreEPSS 0.4% · 34th percentile
- 2026-10-11 20:11 UTCEG score recompute
- 2026-10-11 18:26 UTCEG score recompute
- 2026-10-11 15:00 UTCEG score recompute
- 2026-10-11 13:47 UTCEPSS rescoreEPSS 0.4% · 34th percentile
- 2026-10-10 19:59 UTCEPSS rescoreEPSS 0.4% · 34th percentile
- 2026-10-10 18:21 UTCEG score recompute
- 2026-10-09 20:06 UTCEPSS rescoreEPSS 0.4% · 34th percentile
- 2026-10-09 16:35 UTCEG score recompute
- 2026-10-09 15:26 UTCEG score recompute
- 2026-10-08 17:26 UTCEG score recompute
- 2026-10-08 16:32 UTCEG score recomputeFirst assessed: 6.5 MEDIUM
- 2026-10-08 16:31 UTCMITRE cvelistV5first tracked
Related CVEs(same product + same CWE)
Same product
10 shownPyPI:pydantic-ai
Frequently asked(5)
What is CVE-2026-107290?
When was the CVE record for CVE-2026-107290 published?
Is CVE-2026-107290 actively exploited?
What is the CVSS score of CVE-2026-107290?
How do I remediate CVE-2026-107290?
Dependency Blast Radius
See which npm, PyPI, Go, and Maven packages are affected by CVE-2026-107290
Is Your Infrastructure Affected by CVE-2026-107290?
EchelonGraph automatically scans your cloud infrastructure and maps CVE exposure using blast radius analysis.