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Pydantic Ai CVE-2026-25640

MEDIUM
Path Traversal (CWE-22)
2026-02-06 security-advisories@github.com GHSA-wjp5-868j-wqv7
5.4
CVSS 3.1 · NVD
View

Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Craft malicious URL with path traversal in version parameter
  2. Exploit
    Send URL to victim
  3. Execution
    Browser loads attacker-controlled JavaScript
  4. Impact
    Execute arbitrary code in application context

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V5 - File Handling Path canonicalization, traversal prevention
MITRE ATT&CK

2 techniques across 2 tactics: Discovery, Collection

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Exploitation Conditions

Pydantic AI web UI versions 1.34.0 to before 1.51.0 with unvalidated CDN URL construction via version query parameter. Victim must click crafted URL. Requires access to same CDN infrastructure.

Impact

CVSS 7.1 (HIGH). Attack vector: Network. Complexity: Low. Privileges required: None. User interaction: Required. Exploitable via remote/network.

Exploit ScenarioDerived

A remote attacker could exploit this vulnerability to serve arbitrary JavaScript in the context of the application by crafting a malic.

This Month Plan within 30 days. Why: MEDIUM severity (CVSS 4.0-6.9).
Patch available 0.0% exploitation probability (EPSS)

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AnalysisAIv1 – Mar 12, 2026

Pydantic AI versions 1.34.0 through 1.50.x contain a path traversal vulnerability in the web UI that allows unauthenticated attackers to inject arbitrary JavaScript by manipulating the CDN version parameter in a malicious URL. When a victim visits the crafted link, attacker-controlled code executes in their browser, enabling theft of chat history and other sensitive client-side data. No patch is currently available.

Earlier versions of this analysis (1)
v1 Mar 12, 2026 - 21:54 CVSS 7.1

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.34.0 to before 1.51.0, a path traversal vulnerability in the Pydantic AI web UI allows an attacker to serve arbitrary JavaScript in the context of the application by crafting a malicious URL. [CVSS 7.1 HIGH]

RemediationAI

Fixed in version 1.51.0.. Validate and sanitize file path inputs. Use allowlists. Restrict network access to the affected service where possible.

Affected Packages

pypi pydantic-ai fix: 1.51.0
pypi pydantic-ai-slim fix: 1.51.0

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 2 packages in pypi

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

Classified as CWE-22 (Path Traversal). Affects Pydantic Ai. Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.34.0 to before 1.51.0, a path traversal vulnerability in the Pydantic AI web UI allows an attacker to serve arbitrary JavaScript in the context of the application by crafting a malicious URL. In affected versions, the CDN URL is constructed using a version query parameter from the request URL. This parameter is not validated, allowing path traversal sequences that cause the server to fetch

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Severity by source

NVD PRIMARY 5.4 MEDIUM
AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N
Red Hat 7.1 HIGH

Primary rating from NVD.

CVSS VectorNVD

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
Required
Scope
Unchanged
Confidentiality
Low
Integrity
Low
Availability
None

Lifecycle Timeline

4
Severity Changed
Jun 30, 2026 - 03:23 NVD
HIGH MEDIUM
CVSS changed
Jun 30, 2026 - 03:23 NVD
7.1 (HIGH) 5.4 (MEDIUM)
Patch released
Mar 31, 2026 - 21:13 nvd
Patch available
CVE Published
Feb 06, 2026 - 20:16 nvd
HIGH 7.1

DescriptionNVD

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.34.0 to before 1.51.0, a path traversal vulnerability in the Pydantic AI web UI allows an attacker to serve arbitrary JavaScript in the context of the application by crafting a malicious URL. In affected versions, the CDN URL is constructed using a version query parameter from the request URL. This parameter is not validated, allowing path traversal sequences that cause the server to fetch and serve attacker-controlled HTML/JavaScript from an arbitrary source on the same CDN, instead of the legitimate chat UI package. If a victim clicks the link or visits it via an iframe, attacker-controlled code executes in their browser, enabling theft of chat history and other client-side data. This vulnerability only affects applications that use Agent.to_web to serve a chat interface and clai web to serve a chat interface from the CLI. These are typically run locally (on localhost), but may also be deployed on a remote server. This vulnerability is fixed in 1.51.0.

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 1 pypi packages depend on pydantic-ai (1 direct, 0 indirect)
  • 4 pypi packages depend on pydantic-ai-slim (3 direct, 1 indirect)

Ecosystem-wide dependent count for version 1.34.0 and other introduced versions.

Executive ViewAI

Why It Matters

Pydantic AI versions 1.34.0 through 1.50.x contain a path traversal vulnerability in the web UI that could allow attackers to inject malicious JavaScript and compromise user sessions or steal sensitive data. Organizations using affected versions of this Python framework in production environments face immediate risk of account takeover and data exfiltration through specially crafted URLs.

Business Impact: High
Compensating Controls

Since no patch is currently available, implement: (1) WAF rules to block requests containing path traversal patterns (../, ..\) in the Pydantic AI web UI URL parameters; (2) Network segmentation to restrict web UI access to trusted internal networks only; (3) Disable the web UI feature entirely if not operationally required; (4) Implement strict Content Security Policy (CSP) headers to prevent inline script execution; (5) Monitor access logs for suspicious URL patterns and JavaScript injection attempts.

Threat Intelligence Overview

EPSS Score
0.0%
Top 98% exploitable
Data Quality
6 sources
Confidence: High
NVD CVE.org EPSS Vendor GitHub VulDB

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity MEDIUM
CISA KEV No
Public POC No
EPSS 0.0%
Patch available Yes
Active threat No
Deciding rule
MEDIUM severity (CVSS 4.0-6.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation· derived
None
System Exposure· derived
Open
Automatable· derived
No
Human Impact
High

Priority Score

27
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +27
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Path traversal exploits occur when applications use user-controlled input to construct file system paths without proper validation.

Affected Products (CPE)NVD

cpe:2.3:a:pydantic:pydantic_ai:*:*:*:*:*:python:*:*
CVE-2026-25580 HIGH POC
8.6 Feb 06

Pydantic AI versions 0.0.26 through 1.55.x contain a server-side request forgery vulnerability in URL download functiona

CVE-2026-107295 HIGH
7.6 Oct 08

Cross-site request forgery in Pydantic AI's development web chat UI allows any website a developer happens to visit whil

CVE-2026-107286 HIGH
7.5 Oct 08

Concurrency slot exhaustion in Pydantic AI 2.10.0 through 2.52.x lets streamed model requests permanently occupy slots i

CVE-2026-48782 MEDIUM
6.8 Jun 16

Server-Side Request Forgery in Pydantic AI (versions 1.56.0-1.101.0, 2.0.0b1, 2.0.0b2) allows unauthenticated network at

CVE-2026-107289 MEDIUM
6.8 Oct 08

Server-side request forgery in Pydantic AI's URL-fetching guards lets an application that has explicitly opted a URL int

CVE-2026-54249 MEDIUM POC
6.8 Jul 29

Server-Side Request Forgery in Pydantic AI's UI adapter layer (versions 1.65.0-1.105.0 and 2.0.0b1-2.0.0b5) allows unaut

CVE-2026-107294 MEDIUM
6.5 Oct 08

Pydantic AI, a Python framework for building Generative AI agents, buffers complete HTTP response bodies before applying

CVE-2026-107290 MEDIUM
6.5 Oct 08

Denial of service in Pydantic AI (pydantic-ai and pydantic-ai-slim) versions 1.77.0 through 1.107.5 and 2.0.0b1 through

CVE-2026-107287 MEDIUM
6.5 Oct 08

Denial of service in Pydantic AI's local web_fetch_tool and WebFetch local fallback allows an attacker-controlled HTML p

CVE-2026-65975 MEDIUM
6.5 Jul 29

Tool call injection in Pydantic AI's UI adapters (AG-UI via Agent.to_ag_ui()/AGUIAdapter, and Vercel AI via VercelAIAdap

CVE-2026-107292 MEDIUM
6.4 Oct 08

DNS rebinding against the Pydantic AI development web chat server (Agent.to_web() and `clai web`) lets a hostile website

CVE-2026-107288 LOW
3.7 Oct 08

A domain-denylist bypass in Pydantic AI's local web-fetch tooling (web_fetch_tool and the WebFetch local fallback) lets

Vendor StatusVendor

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