{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2026-107294", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "state": "PUBLISHED", "assignerShortName": "GitHub_M", "dateReserved": "2026-10-07T15:53:23.586Z", "datePublished": "2026-10-08T16:59:25.246Z", "dateUpdated": "2026-10-08T16:59:25.246Z"}, "containers": {"cna": {"title": "Pydantic AI: Unbounded memory use when downloading remote content via web_fetch or FileUrl", "problemTypes": [{"descriptions": [{"cweId": "CWE-400", "lang": "en", "description": "CWE-400: Uncontrolled Resource Consumption", "type": "CWE"}]}], "metrics": [{"cvssV3_1": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 6.5, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "version": "3.1"}}], "references": [{"name": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-v2xh-2vp8-57h8", "tags": ["x_refsource_CONFIRM"], "url": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-v2xh-2vp8-57h8"}, {"name": "https://github.com/pydantic/pydantic-ai/pull/7141", "tags": ["x_refsource_MISC"], "url": "https://github.com/pydantic/pydantic-ai/pull/7141"}, {"name": "https://github.com/pydantic/pydantic-ai/pull/7308", "tags": ["x_refsource_MISC"], "url": "https://github.com/pydantic/pydantic-ai/pull/7308"}, {"name": "https://github.com/pydantic/pydantic-ai/commit/7a64d049c3f5271a975cd1d64b2fa876d83ede1d", "tags": ["x_refsource_MISC"], "url": "https://github.com/pydantic/pydantic-ai/commit/7a64d049c3f5271a975cd1d64b2fa876d83ede1d"}, {"name": "https://github.com/pydantic/pydantic-ai/commit/e3824a58c82864ed26afb2887619834a4eb86cc8", "tags": ["x_refsource_MISC"], "url": "https://github.com/pydantic/pydantic-ai/commit/e3824a58c82864ed26afb2887619834a4eb86cc8"}, {"name": "https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.2", "tags": ["x_refsource_MISC"], "url": "https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.2"}, {"name": "https://github.com/pydantic/pydantic-ai/releases/tag/v2.24.0", "tags": ["x_refsource_MISC"], "url": "https://github.com/pydantic/pydantic-ai/releases/tag/v2.24.0"}], "affected": [{"vendor": "pydantic", "product": "pydantic-ai", "versions": [{"version": ">= 1.77.0, < 1.107.2", "status": "affected"}, {"version": ">= 2.0.0b1, < 2.24.0", "status": "affected"}]}, {"vendor": "pydantic", "product": "pydantic-ai-slim", "versions": [{"version": ">= 1.77.0, < 1.107.2", "status": "affected"}, {"version": ">= 2.0.0b1, < 2.24.0", "status": "affected"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2026-10-08T16:59:25.246Z"}, "descriptions": [{"lang": "en", "value": "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."}], "source": {"advisory": "GHSA-v2xh-2vp8-57h8", "discovery": "UNKNOWN"}}}}

{}

{"affected": [{"affectedData": [{"product": "pydantic-ai", "vendor": "pydantic", "versions": [{"status": "affected", "version": ">= 1.77.0, < 1.107.2"}, {"status": "affected", "version": ">= 2.0.0b1, < 2.24.0"}]}, {"product": "pydantic-ai-slim", "vendor": "pydantic", "versions": [{"status": "affected", "version": ">= 1.77.0, < 1.107.2"}, {"status": "affected", "version": ">= 2.0.0b1, < 2.24.0"}]}], "source": "security-advisories@github.com"}], "cveTags": [], "descriptions": [{"lang": "en", "value": "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."}], "id": "CVE-2026-107294", "lastModified": "2026-10-08T20:35:31.200", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 6.5, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "version": "3.1"}, "exploitabilityScore": 2.8, "impactScore": 3.6, "source": "security-advisories@github.com", "type": "Secondary"}]}, "published": "2026-10-08T17:17:15.080", "references": [{"source": "security-advisories@github.com", "url": "https://github.com/pydantic/pydantic-ai/commit/7a64d049c3f5271a975cd1d64b2fa876d83ede1d"}, {"source": "security-advisories@github.com", "url": "https://github.com/pydantic/pydantic-ai/commit/e3824a58c82864ed26afb2887619834a4eb86cc8"}, {"source": "security-advisories@github.com", "url": "https://github.com/pydantic/pydantic-ai/pull/7141"}, {"source": "security-advisories@github.com", "url": "https://github.com/pydantic/pydantic-ai/pull/7308"}, {"source": "security-advisories@github.com", "url": "https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.2"}, {"source": "security-advisories@github.com", "url": "https://github.com/pydantic/pydantic-ai/releases/tag/v2.24.0"}, {"source": "security-advisories@github.com", "url": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-v2xh-2vp8-57h8"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Awaiting Analysis", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-400"}], "source": "security-advisories@github.com", "type": "Primary"}]}

{"bugzilla": {"description": "pydantic-ai: pydantic-ai: Denial of Service via unbounded HTTP response buffering", "id": "2548064", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2548064"}, "csaw": false, "cvss3": {"cvss3_base_score": "6.5", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "status": "draft"}, "cwe": "CWE-770", "details": ["A flaw was found in Pydantic AI. When fetching remote web content or media files, the framework buffers the entire response in memory before enforcing content-size limits. A remote attacker can exploit this issue by supplying a link that streams an excessively large response, exhausting memory and crashing the application worker, resulting in a Denial of Service (DoS)."], "name": "CVE-2026-107294", "package_state": [{"cpe": "cpe:/a:redhat:lightspeed_core", "fix_state": "Fix deferred", "package_name": "lightspeed-core/lightspeed-stack-rhel9", "product_name": "Lightspeed Core"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Fix deferred", "package_name": "rhelai3/bootc-cuda-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Fix deferred", "package_name": "rhelai3/bootc-gaudi-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Fix deferred", "package_name": "rhelai3/bootc-rocm-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Fix deferred", "package_name": "rhelai3/disk-image-cuda-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}], "public_date": "2026-10-08T16:59:25Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-107294\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-107294\nhttps://github.com/pydantic/pydantic-ai/commit/7a64d049c3f5271a975cd1d64b2fa876d83ede1d\nhttps://github.com/pydantic/pydantic-ai/commit/e3824a58c82864ed26afb2887619834a4eb86cc8\nhttps://github.com/pydantic/pydantic-ai/pull/7141\nhttps://github.com/pydantic/pydantic-ai/pull/7308\nhttps://github.com/pydantic/pydantic-ai/releases/tag/v1.107.2\nhttps://github.com/pydantic/pydantic-ai/releases/tag/v2.24.0\nhttps://github.com/pydantic/pydantic-ai/security/advisories/GHSA-v2xh-2vp8-57h8"], "threat_severity": "Moderate"}

{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[1.77.0,1.107.2)"}}, {"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[2.0.0b1,2.24.0)"}}], "enrichment": {"confidence": 100.0, "confidence_source": "matching", "scores": [{"score": 100.0, "source": "matching"}]}, "original": {"product": "pydantic-ai", "source": "cna", "vendor": "pydantic"}, "product": "pydantic-ai", "vendor": "pydantic"}], "created": "2026-10-08T19:00:07.492057+00:00", "updated": "2026-10-09T02:45:17.705167+00:00", "vendors": ["pydantic", "pydantic$PRODUCT$pydantic-ai"]}