Search criteria
4 vulnerabilities by Pydantic
CVE-2026-25580 (GCVE-0-2026-25580)
Vulnerability from cvelistv5 – Published: 2026-02-06 21:01 – Updated: 2026-02-09 15:27
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.
Severity ?
8.6 (High)
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
| URL | Tags | |||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| pydantic | pydantic-ai |
Affected:
>= 0.0.26, < 1.56.0
|
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CVE-2026-25640 (GCVE-0-2026-25640)
Vulnerability from cvelistv5 – Published: 2026-02-06 20:01 – Updated: 2026-02-06 20:16
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.
Severity ?
7.1 (High)
CWE
Assigner
References
| URL | Tags | |||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| pydantic | pydantic-ai |
Affected:
>= 1.34.0, < 1.51.0
|
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CVE-2024-3772 (GCVE-0-2024-3772)
Vulnerability from cvelistv5 – 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.
Severity ?
5.9 (Medium)
CWE
- CWE-1333 - Inefficient Regular Expression Complexity
Assigner
References
Impacted products
Credits
Sajeeb Lohani
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CVE-2021-29510 (GCVE-0-2021-29510)
Vulnerability from cvelistv5 – 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.
Severity ?
CWE
- CWE-835 - Loop with Unreachable Exit Condition ('Infinite Loop')
Assigner
References
| URL | Tags | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||||||||
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 |
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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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