Pydantic AI up to 1.107.5/2.43.x IPv6 Address force_download/allow_local_urls input validation

Summaryinfo

A vulnerability was found in Pydantic AI up to 1.107.5/2.43.x. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the component IPv6 Address Handler. The manipulation of the argument force_download/allow_local_urls results in input validation. This vulnerability is known as CVE-2026-107289. It is possible to launch the attack remotely. No exploit is available. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as problematic, was found in Pydantic AI up to 1.107.5/2.43.x. Affected is some unknown processing of the component IPv6 Address Handler. The manipulation of the argument force_download/allow_local_urls with an unknown input leads to a input validation vulnerability. CWE is classifying the issue as CWE-20. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. This is going to have an impact on confidentiality. CVE summarizes:

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.56.0 until 1.107.6 and 2.44.0, applications that opt attacker-influenced URLs into local network access through FileUrl with force_download='allow-local' or web_fetch_tool with allow_local_urls=True can bypass the cloud-metadata blocklist by appending an IPv6 zone identifier to an IPv6 metadata address. IPv6Address equality and hashing include the zone identifier, so the blocklist comparison fails even though the network stack ignores the zone on a non-link-local destination and reaches the metadata service, potentially exposing cloud IAM credentials. The opt-in settings are disabled by default, and the issue requires an IPv6-enabled environment. This issue is fixed in versions 1.107.6 and 2.44.0.

The advisory is available at github.com. This vulnerability is traded as CVE-2026-107289 since 10/07/2026. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. Technical details are known, but there is no available exploit.

Upgrading to version 1.107.6 or 2.44.0 eliminates this vulnerability.

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Productinfo

Type

• Artificial Intelligence Software

Vendor

• Pydantic

Name

• AI

Version

• 1.107.0
• 1.107.1
• 1.107.2
• 1.107.3
• 1.107.4
• 1.107.5
• 2.0
• 2.1
• 2.2
• 2.3
• 2.4
• 2.5
• 2.6
• 2.7
• 2.8
• 2.9
• 2.10
• 2.11
• 2.12
• 2.13
• 2.14
• 2.15
• 2.16
• 2.17
• 2.18
• 2.19
• 2.20
• 2.21
• 2.22
• 2.23
• 2.24
• 2.25
• 2.26
• 2.27
• 2.28
• 2.29
• 2.30
• 2.31
• 2.32
• 2.33
• 2.34
• 2.35
• 2.36
• 2.37
• 2.38
• 2.39
• 2.40
• 2.41
• 2.42
• 2.43

CPE 2.3info

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CPE 2.2info

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