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pydantic-ai-slim@1.56.0

AI Agent Framework, the Pydantic way, slim package

  • latest version

    2.35.0

  • latest non vulnerable version

    2.35.0

  • first published

    1 years ago

  • latest version published

    23 hours ago

  • licenses detected

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    Direct Vulnerabilities

    Known vulnerabilities in the pydantic-ai-slim package. This does not include vulnerabilities belonging to this package’s dependencies.

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    VulnerabilityVulnerable Version
    • M
    Server-side Request Forgery (SSRF)

    pydantic-ai-slim is an Agent Framework / shim to use Pydantic with LLMs, slim package

    Affected versions of this package are vulnerable to Server-side Request Forgery (SSRF) due to the blocklist bypass via additional IPv6 transition forms when force_download='allow-local' is enabled. An attacker can access sensitive cloud IAM short-term credentials by bypassing the cloud-metadata blocklist using IPv6 transition forms such as IPv4-compatible, SIIT/IVI, and local NAT64 IPv6 addresses. This is only exploitable if the application is running on a network that routes the affected IPv6 transition forms, such as NAT64-configured networks or networks with an ISATAP tunnel.

    Note:

    This issue is due to incomplete fix for CVE-2026-46678.

    How to fix Server-side Request Forgery (SSRF)?

    Upgrade pydantic-ai-slim to version 1.102.0, 2.0.0b3 or higher.

    [1.56.0,1.102.0)[2.0.0b1,2.0.0b3)
    • M
    Server-side Request Forgery (SSRF)

    pydantic-ai-slim is an Agent Framework / shim to use Pydantic with LLMs, slim package

    Affected versions of this package are vulnerable to Server-side Request Forgery (SSRF) via incomplete blocklist in is_private_ip function when force_download='allow-local' is enabled. An attacker can access sensitive cloud metadata information by submitting a specially crafted URL containing an IPv4-mapped IPv6, 6to4, or NAT64 encoded address that bypasses the intended blocklist. This is only exploitable if the application explicitly opts for FileUrl (ImageUrl, AudioUrl, VideoUrl, DocumentUrl) in force_download='allow-local' on a URL that is, or could be, influenced by untrusted input.

    Note:

    This issue is due to incomplete fix for CVE-2026-25580.

    How to fix Server-side Request Forgery (SSRF)?

    Upgrade pydantic-ai-slim to version 1.99.0 or higher.

    [1.56.0,1.99.0)
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