Pydantic AI: Unbounded memory use when downloading remote content via web_fetch or FileUrl
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | |||||||||
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| pydantic | pydantic-ai | affected |
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| pydantic | pydantic-ai-slim | affected |
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Configuration 1 [-]
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No data.
| Vendor | Product | Versions | ||||||||||||
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| Pydantic | Pydantic-ai |
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| Source | ID | Title |
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Github GHSA |
GHSA-v2xh-2vp8-57h8 | Pydantic AI: Unbounded memory use when downloading remote content via web_fetch or FileUrl |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.437% probability within 30 days)
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| First Time appeared |
Pydantic pydantic Ai
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| CPEs | cpe:2.3:a:pydantic:pydantic_ai:*:*:*:*:*:python:*:* cpe:2.3:a:pydantic:pydantic_ai:*:-:*:*:*:python:*:* |
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| Vendors & Products |
Pydantic pydantic Ai
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| Metrics |
ssvc
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| Weaknesses | CWE-770 | |
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| Metrics |
threat_severity
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threat_severity
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| First Time appeared |
Pydantic
Pydantic pydantic-ai |
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| Vendors & Products |
Pydantic
Pydantic pydantic-ai |
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| Description | Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.2 and 2.24.0, web_fetch_tool, the WebFetch local fallback, and remote FileUrl media downloads buffer the complete HTTP response body before enforcing content-size controls. An attacker-influenced URL can stream an arbitrarily large response that exhausts process memory and crashes the worker; affected media types include ImageUrl, DocumentUrl, VideoUrl, and AudioUrl. SSRF protections remain effective, and the impact is limited to availability. This issue is fixed in versions 1.107.2 and 2.24.0. | |
| Title | Pydantic AI: Unbounded memory use when downloading remote content via web_fetch or FileUrl | |
| Weaknesses | CWE-400 | |
| References |
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| Metrics |
cvssV3_1
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