pydantic pydantic-ai up to 1.105.0/2.0.0b5 UI adapter path traversal
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.98 |
Summary
A vulnerability classified as problematic was found in pydantic pydantic-ai up to 1.105.0/2.0.0b5. Affected by this issue is some unknown functionality of the component UI adapter. Executing a manipulation can lead to path traversal. This vulnerability is handled as CVE-2026-54249. The attack can be executed remotely. There is not any exploit available.
Details
A vulnerability has been found in pydantic pydantic-ai up to 1.105.0/2.0.0b5 and classified as problematic. This vulnerability affects an unknown function of the component UI adapter. The manipulation with an unknown input leads to a path traversal vulnerability. The CWE definition for the vulnerability is CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. As an impact it is known to affect confidentiality. CVE summarizes:
Pydantic AI is a Python agent framework for building Generative AI applications. In versions 1.65.0 through 1.105.0, and 2.0.0b1 through 2.0.0b5, a client that submits message history to a Pydantic AI UI adapter (such as the Vercel AI adapter) can reference arbitrary files in the application's model-provider or cloud-storage account. While file URL parts are validated against a scheme allowlist, UploadedFile references — which point to a file by provider file ID or cloud-storage URI (e.g. s3://…, gs://…) — were forwarded without validation. Because the provider resolves an UploadedFile using the server-side identity (IAM role, service account, or provider API key) rather than the client's, an attacker can craft message history to make the server read objects from its own account or other tenants, given a referenceable identifier. Exploitation requires a valid file identifier, which is not always unguessable depending on how the application names objects. This issue has been fixed in versions 1.106.0 and 2.0.0b6.
The advisory is available at github.com. This vulnerability was named CVE-2026-54249 since 06/12/2026. The exploitation appears to be easy. The attack can be initiated remotely. The technical details are unknown and an exploit is not available. This vulnerability is assigned to T1006 by the MITRE ATT&CK project.
Upgrading to version 1.106.0 or 2.0.0b6 eliminates this vulnerability.
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Product
Type
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.3VulDB Meta Temp Score: 4.1
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Path traversalCWE: CWE-22
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: pydantic-ai 1.106.0/2.0.0b6
Timeline
06/12/2026 CVE reserved07/29/2026 Advisory disclosed
07/29/2026 VulDB entry created
07/29/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-54249 (🔒)
GCVE (CVE): GCVE-0-2026-54249
GCVE (VulDB): GCVE-100-384286
Entry
Created: 07/29/2026 23:02Changes: 07/29/2026 23:02 (56)
Complete: 🔍
Cache ID: 216::103
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