Server-side Request Forgery (SSRF) Affecting pydantic-ai-slim package, versions [0.0.26, 1.56.0)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learning- Snyk IDSNYK-PYTHON-PYDANTICAISLIM-15248301
- published8 Feb 2026
- disclosed6 Feb 2026
- creditdoredry, Yuval Elbar
Introduced: 6 Feb 2026
CVE-2026-25580 (opens in a new tab)How to fix?
Upgrade pydantic-ai-slim to version 1.56.0 or higher.
Overview
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 the download_item function. An attacker can access internal network resources, retrieve sensitive cloud metadata, or enumerate internal hosts by submitting URLs through message history.
Note: This is only exploitable if the application accepts message history or file URLs from external users.
Workaround
This vulnerability can be mitigated by filtering out URLs that target private or internal addresses using a history processor to validate and remove such URLs before processing.