Pydantic AI: Excessive resource use when local web fetching converts nested HTML
Summary
| CVE | CVE-2026-107287 |
|---|---|
| State | PUBLISHED |
| Assigner | GitHub_M |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2026-10-08 16:17:03 UTC |
| Updated | 2026-10-08 16:17:03 UTC |
| Description | Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.7 and 2.52.0, the local web_fetch_tool and the WebFetch local fallback can consume excessive CPU and memory during HTML-to-Markdown conversion of attacker-controlled HTML containing deeply nested block elements. Conversion repeatedly reprocesses accumulated text and can greatly expand intermediate output before the returned-content limit is applied, allowing a model-directed fetch to delay other work in the process. Provider-native web fetching is not affected. This issue is fixed in versions 1.107.7 and 2.52.0. |
Risk And Classification
Primary CVSS: v3.1 6.5 MEDIUM from [email protected]
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
Problem Types: CWE-400 | CWE-407 | CWE-400 CWE-400: Uncontrolled Resource Consumption | CWE-407 CWE-407: Inefficient Algorithmic Complexity
| Version | Source | Type | Score | Severity | Vector |
|---|---|---|---|---|---|
| 3.1 | [email protected] | Secondary | 6.5 | MEDIUM | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H |
| 3.1 | CNA | DECLARED | 6.5 | MEDIUM | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H |
CVSS v3.1 Breakdown
Attack Vector
NetworkAttack Complexity
LowPrivileges Required
NoneUser Interaction
RequiredScope
UnchangedConfidentiality
NoneIntegrity
NoneAvailability
HighCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
Vendor Declared Affected Products
| Source | Vendor | Product | Version | Platforms |
|---|---|---|---|---|
| CNA | Pydantic | Pydantic-ai | affected >= 1.77.0, < 1.107.7 | Not specified |
| CNA | Pydantic | Pydantic-ai | affected >= 2.0.0b1, < 2.52.0 | Not specified |
| CNA | Pydantic | Pydantic-ai-slim | affected >= 1.77.0, < 1.107.7 | Not specified |
| CNA | Pydantic | Pydantic-ai-slim | affected >= 2.0.0b1, < 2.52.0 | Not specified |
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| github.com/pydantic/pydantic-ai/commit/2fd38792693da00a3ca5412aeffb43678... | [email protected] | github.com | |
| github.com/pydantic/pydantic-ai/pull/8985 | [email protected] | github.com | |
| github.com/pydantic/pydantic-ai/releases/tag/v1.107.7 | [email protected] | github.com | |
| github.com/pydantic/pydantic-ai/commit/2b247add4950bef61d352e7ca8aefbd20... | [email protected] | github.com | |
| github.com/pydantic/pydantic-ai/releases/tag/v2.52.0 | [email protected] | github.com | |
| github.com/pydantic/pydantic-ai/pull/8984 | [email protected] | github.com | |
| github.com/pydantic/pydantic-ai/security/advisories/GHSA-v36g-jcw9-x7cw | [email protected] | github.com | |
| CVE Program record | CVE.ORG | www.cve.org | canonical |
| NVD vulnerability detail | NVD | nvd.nist.gov | canonical, analysis |
No vendor comments have been submitted for this CVE.
There are currently no legacy QID mappings associated with this CVE.