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    6 vulnerabilities by pydantic

    CVE-2026-58203 (GCVE-0-2026-58203)

    Vulnerability from nvd – Published: 2026-07-06 14:24 – Updated: 2026-07-06 16:19
    VLAI
    Title
    NestedSecretsSettingsSource follows symlinks outside secrets_dir, enabling local file read and bypassing secrets_dir_max_size
    Summary
    pydantic-settings provides settings management using Pydantic. From 2.12.0 until 2.14.2, NestedSecretsSettingsSource reads secret values from files in a configured secrets_dir. When secrets_nested_subdir=True, a directory entry inside secrets_dir that is a symbolic link pointing outside secrets_dir is followed, so files outside the configured directory are read into settings values. The same code path bypasses the documented secrets_dir_max_size protection. An attacker or lower-privileged component able to influence entries in the configured secrets directory (for example, a writable or shared secrets mount) can turn this into an unintended local file read into settings and can defeat the advertised loading-size cap. This vulnerability is fixed in 2.14.2.
    SSVC
    Exploitation: poc Automatable: no Technical Impact: partial
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
    • CWE-59 - Improper Link Resolution Before File Access ('Link Following')
    • CWE-400 - Uncontrolled Resource Consumption
    Assigner
    References
    Impacted products
    Vendor Product Version
    pydantic pydantic-settings Affected: >= 2.12.0, < 2.14.2
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-48782 (GCVE-0-2026-48782)

    Vulnerability from nvd – Published: 2026-06-16 22:49 – Updated: 2026-06-17 14:22
    VLAI
    Title
    pydantic-ai: SSRF blocklist bypass via IPv4-compatible, SIIT/IVI, and local NAT64 IPv6 addresses (incomplete fix of CVE-2026-46678)
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. In versions 1.56.0 through 1.101.0, 2.0.0b1, and 2.0.0b2, the cloud-metadata blocklist could be bypassed by encoding the metadata IP in an IPv6 transition form that the previous fix, CVE-2026-46678, did not decode, exposing cloud IAM short-term credentials. The previous remediation decoded only IPv4-mapped IPv6, 6to4, and the NAT64 well-known prefix, so the metadata guarantee did not hold for the remaining transition forms: IPv4-compatible IPv6 (::a.b.c.d), the NAT64 RFC 8215 local-use prefix (64:ff9b:1::/48), operator-chosen NAT64 prefixes, and ISATAP. The IPv6 wrapper is then delivered to the underlying IPv4 metadata endpoint. This occurs when an application using Pydantic AI opts a URL into force_download='allow-local' (which disables the default block on private/internal IPs) and runs on a network that actually routes the affected IPv6 transition forms: NAT64-configured networks (IPv6-only or dual-stack-with-NAT64 deployments, including some Kubernetes setups) for the NAT64 variants, or networks with an ISATAP tunnel for ISATAP. A standard dual-stack cloud VM or container does not route these forms and is not affected in practice. The IPv4-compatible and Teredo variants are deprecated and addressed as defense-in-depth. This is an incomplete fix of GHSA-cqp8-fcvh-x7r3 / CVE-2026-46678 (itself a follow-up to CVE-2026-25580). This issue has been fixed in version 2.0.0b3.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-918 - Server-Side Request Forgery (SSRF)
    Assigner
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.56.0, < 1.102.0
    Affected: >= 2.0.0b1, < 2.0.0b3
    Create a notification for this product.
    pydantic pydantic-ai-slim Affected: >= 2.0.0b1, < 2.0.0b3
    Affected: >= 1.56.0, < 1.102.0
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-25580 (GCVE-0-2026-25580)

    Vulnerability from nvd – Published: 2026-02-06 21:01 – Updated: 2026-06-30 12:06
    VLAI
    Title
    Pydantic AI Affected by Server-Side Request Forgery (SSRF) in URL Download Handling
    Summary
    Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 0.0.26 to before 1.56.0, aServer-Side Request Forgery (SSRF) vulnerability exists in Pydantic AI's URL download functionality. When applications accept message history from untrusted sources, attackers can include malicious URLs that cause the server to make HTTP requests to internal network resources, potentially accessing internal services or cloud credentials. This vulnerability only affects applications that accept message history from external users. This vulnerability is fixed in 1.56.0.
    SSVC
    Exploitation: none Automatable: yes Technical Impact: partial
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-918 - Server-Side Request Forgery (SSRF)
    Assigner
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 0.0.26, < 1.56.0
    Create a notification for this product.
    Red Hat Red Hat Enterprise Linux AI (RHEL AI) 3     cpe:/a:redhat:enterprise_linux_ai:3
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-25640 (GCVE-0-2026-25640)

    Vulnerability from nvd – Published: 2026-02-06 20:01 – Updated: 2026-06-30 12:06
    VLAI
    Title
    Pydantic AI affected by Stored XSS via Path Traversal in Web UI CDN URL
    Summary
    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.
    SSVC
    Exploitation: none Automatable: no Technical Impact: partial
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
    • CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
    Assigner
    Impacted products
    Vendor Product Version
    pydantic pydantic-ai Affected: >= 1.34.0, < 1.51.0
    Create a notification for this product.
    Red Hat Red Hat Enterprise Linux AI (RHEL AI) 3     cpe:/a:redhat:enterprise_linux_ai:3
    Create a notification for this product.
    Show details on NVD website

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    CVE-2024-3772 (GCVE-0-2024-3772)

    Vulnerability from nvd – Published: 2024-04-15 01:42 – Updated: 2025-02-13 17:53
    VLAI
    Title
    Regular expression denial of service in Pydantic < 2.4.0
    Summary
    Regular expression denial of service in Pydanic < 2.4.0, < 1.10.13 allows remote attackers to cause denial of service via a crafted email string.
    SSVC
    Exploitation: poc Automatable: no Technical Impact: partial
    CISA Coordinator (v2.0.3)
    CWE
    • CWE-1333 - Inefficient Regular Expression Complexity
    Assigner
    Impacted products
    Vendor Product Version
    Pydantic Pydantic Affected: 2.0 , < 2.4.0 (semver)
    Affected: 1.0 , < 1.10.13 (semver)
    Create a notification for this product.
    pydantic_project pydantic Affected: 1.0 , < 1.10.13 (semver)
        cpe:2.3:a:pydantic_project:pydantic:1.0:-:*:*:*:*:*:*
    Create a notification for this product.
    pydantic_project pydantic Affected: 2.0
        cpe:2.3:a:pydantic_project:pydantic:2.0:*:*:*:*:*:*:*
    Create a notification for this product.
    Credits
    Sajeeb Lohani
    Show details on NVD website

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    CVE-2021-29510 (GCVE-0-2021-29510)

    Vulnerability from nvd – Published: 2021-05-13 18:55 – Updated: 2024-08-03 22:11
    VLAI
    Title
    Use of "infinity" as an input to datetime and date fields causes infinite loop in pydantic
    Summary
    Pydantic is a data validation and settings management using Python type hinting. In affected versions passing either `'infinity'`, `'inf'` or `float('inf')` (or their negatives) to `datetime` or `date` fields causes validation to run forever with 100% CPU usage (on one CPU). Pydantic has been patched with fixes available in the following versions: v1.8.2, v1.7.4, v1.6.2. All these versions are available on pypi(https://pypi.org/project/pydantic/#history), and will be available on conda-forge(https://anaconda.org/conda-forge/pydantic) soon. See the changelog(https://pydantic-docs.helpmanual.io/) for details. If you absolutely can't upgrade, you can work around this risk using a validator(https://pydantic-docs.helpmanual.io/usage/validators/) to catch these values. This is not an ideal solution (in particular you'll need a slightly different function for datetimes), instead of a hack like this you should upgrade pydantic. If you are not using v1.8.x, v1.7.x or v1.6.x and are unable to upgrade to a fixed version of pydantic, please create an issue at https://github.com/samuelcolvin/pydantic/issues requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic.
    CWE
    • CWE-835 - Loop with Unreachable Exit Condition ('Infinite Loop')
    Assigner
    References
    Impacted products
    Vendor Product Version
    samuelcolvin pydantic Affected: >= 1.8.0, < 1.8.2
    Affected: >= 1.7.0, < 1.7.4
    Affected: < 1.6.2
    Create a notification for this product.
    Show details on NVD website

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                  "type": "CWE"
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            {
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          "title": "Use of \"infinity\" as an input to datetime and date fields causes infinite loop in pydantic",
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                  "value": "Pydantic is a data validation and settings management using Python type hinting. In affected versions passing either `\u0027infinity\u0027`, `\u0027inf\u0027` or `float(\u0027inf\u0027)` (or their negatives) to `datetime` or `date` fields causes validation to run forever with 100% CPU usage (on one CPU). Pydantic has been patched with fixes available in the following versions: v1.8.2, v1.7.4, v1.6.2. All these versions are available on pypi(https://pypi.org/project/pydantic/#history), and will be available on conda-forge(https://anaconda.org/conda-forge/pydantic) soon. See the changelog(https://pydantic-docs.helpmanual.io/) for details. If you absolutely can\u0027t upgrade, you can work around this risk using a validator(https://pydantic-docs.helpmanual.io/usage/validators/) to catch these values. This is not an ideal solution (in particular you\u0027ll need a slightly different function for datetimes), instead of a hack like this you should upgrade pydantic. If you are not using v1.8.x, v1.7.x or v1.6.x and are unable to upgrade to a fixed version of pydantic, please create an issue at https://github.com/samuelcolvin/pydantic/issues requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic."
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