CVE-2026-54249

{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2026-54249", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "state": "PUBLISHED", "assignerShortName": "GitHub_M", "dateReserved": "2026-06-12T16:25:43.085Z", "datePublished": "2026-07-29T20:28:07.154Z", "dateUpdated": "2026-07-30T13:08:12.954Z"}, "containers": {"cna": {"title": "VercelAIAdapter trusts client-controlled `providerMetadata` to construct `UploadedFile` \u2014 S3/GCS confused deputy via provider metadata injection", "problemTypes": [{"descriptions": [{"cweId": "CWE-918", "lang": "en", "description": "CWE-918: Server-Side Request Forgery (SSRF)", "type": "CWE"}]}], "metrics": [{"cvssV3_1": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 6.8, "baseSeverity": "MEDIUM", "confidentialityImpact": "HIGH", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "CHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N", "version": "3.1"}}], "references": [{"name": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-h7p7-w5gc-xj3w", "tags": ["x_refsource_CONFIRM"], "url": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-h7p7-w5gc-xj3w"}], "affected": [{"vendor": "pydantic", "product": "pydantic-ai", "versions": [{"version": ">= 1.65.0, < 1.106.0", "status": "affected"}, {"version": ">= 2.0.0b1, < 2.0.0b6", "status": "affected"}]}, {"vendor": "pydantic", "product": "pydantic-ai-slim", "versions": [{"version": ">= 2.0.0b1, < 2.0.0b6", "status": "affected"}, {"version": ">= 1.65.0, < 1.106.0", "status": "affected"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2026-07-29T20:28:07.154Z"}, "descriptions": [{"lang": "en", "value": "Pydantic AI is a Python agent framework for building Generative AI applications. In versions 1.65.0 through 1.105.0, and 2.0.0b1 through 2.0.0b5, a client that submits message history to a Pydantic AI UI adapter (such as the Vercel AI adapter) can reference arbitrary files in the application's model-provider or cloud-storage account. While file URL parts are validated against a scheme allowlist, UploadedFile references \u2014 which point to a file by provider file ID or cloud-storage URI (e.g. s3://\u2026, gs://\u2026) \u2014 were forwarded without validation. Because the provider resolves an UploadedFile using the server-side identity (IAM role, service account, or provider API key) rather than the client's, an attacker can craft message history to make the server read objects from its own account or other tenants, given a referenceable identifier. Exploitation requires a valid file identifier, which is not always unguessable depending on how the application names objects. This issue has been fixed in versions 1.106.0 and 2.0.0b6."}], "source": {"advisory": "GHSA-h7p7-w5gc-xj3w", "discovery": "UNKNOWN"}}, "adp": [{"metrics": [{"other": {"type": "ssvc", "content": {"timestamp": "2026-07-30T13:08:03.344276Z", "id": "CVE-2026-54249", "options": [{"Exploitation": "none"}, {"Automatable": "no"}, {"Technical Impact": "partial"}], "role": "CISA Coordinator", "version": "2.0.3"}}}], "title": "CISA ADP Vulnrichment", "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-07-30T13:08:12.954Z"}}]}}

{"dataType": "CVE_RECORD", "containers": {"cna": {"title": "VercelAIAdapter trusts client-controlled `providerMetadata` to construct `UploadedFile` \u2014 S3/GCS confused deputy via provider metadata injection", "source": {"advisory": "GHSA-h7p7-w5gc-xj3w", "discovery": "UNKNOWN"}, "metrics": [{"cvssV3_1": {"scope": "CHANGED", "version": "3.1", "baseScore": 6.8, "attackVector": "NETWORK", "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N", "integrityImpact": "NONE", "userInteraction": "NONE", "attackComplexity": "HIGH", "availabilityImpact": "NONE", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}}], "affected": [{"vendor": "pydantic", "product": "pydantic-ai", "versions": [{"status": "affected", "version": ">= 1.65.0, < 1.106.0"}, {"status": "affected", "version": ">= 2.0.0b1, < 2.0.0b6"}]}, {"vendor": "pydantic", "product": "pydantic-ai-slim", "versions": [{"status": "affected", "version": ">= 2.0.0b1, < 2.0.0b6"}, {"status": "affected", "version": ">= 1.65.0, < 1.106.0"}]}], "references": [{"url": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-h7p7-w5gc-xj3w", "name": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-h7p7-w5gc-xj3w", "tags": ["x_refsource_CONFIRM"]}], "descriptions": [{"lang": "en", "value": "Pydantic AI is a Python agent framework for building Generative AI applications. In versions 1.65.0 through 1.105.0, and 2.0.0b1 through 2.0.0b5, a client that submits message history to a Pydantic AI UI adapter (such as the Vercel AI adapter) can reference arbitrary files in the application's model-provider or cloud-storage account. While file URL parts are validated against a scheme allowlist, UploadedFile references \u2014 which point to a file by provider file ID or cloud-storage URI (e.g. s3://\u2026, gs://\u2026) \u2014 were forwarded without validation. Because the provider resolves an UploadedFile using the server-side identity (IAM role, service account, or provider API key) rather than the client's, an attacker can craft message history to make the server read objects from its own account or other tenants, given a referenceable identifier. Exploitation requires a valid file identifier, which is not always unguessable depending on how the application names objects. This issue has been fixed in versions 1.106.0 and 2.0.0b6."}], "problemTypes": [{"descriptions": [{"lang": "en", "type": "CWE", "cweId": "CWE-918", "description": "CWE-918: Server-Side Request Forgery (SSRF)"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2026-07-29T20:28:07.154Z"}}, "adp": [{"title": "CISA ADP Vulnrichment", "metrics": [{"other": {"type": "ssvc", "content": {"id": "CVE-2026-54249", "role": "CISA Coordinator", "options": [{"Exploitation": "none"}, {"Automatable": "no"}, {"Technical Impact": "partial"}], "version": "2.0.3", "timestamp": "2026-07-30T13:08:03.344276Z"}}}], "providerMetadata": {"shortName": "CISA-ADP", "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "dateUpdated": "2026-07-30T13:08:08.990Z"}}]}, "cveMetadata": {"cveId": "CVE-2026-54249", "state": "PUBLISHED", "dateUpdated": "2026-07-29T20:28:07.154Z", "dateReserved": "2026-06-12T16:25:43.085Z", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "datePublished": "2026-07-29T20:28:07.154Z", "assignerShortName": "GitHub_M"}, "dataVersion": "5.2"}

{"affected": [{"affectedData": [{"product": "pydantic-ai", "vendor": "pydantic", "versions": [{"status": "affected", "version": ">= 1.65.0, < 1.106.0"}, {"status": "affected", "version": ">= 2.0.0b1, < 2.0.0b6"}]}, {"product": "pydantic-ai-slim", "vendor": "pydantic", "versions": [{"status": "affected", "version": ">= 2.0.0b1, < 2.0.0b6"}, {"status": "affected", "version": ">= 1.65.0, < 1.106.0"}]}], "source": "security-advisories@github.com"}], "configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:pydantic:pydantic_ai:*:*:*:*:*:python:*:*", "matchCriteriaId": "5D7A39AC-6B48-468C-8FE1-4E5FEEA9B693", "versionEndExcluding": "1.105.0", "versionStartIncluding": "1.65.0", "vulnerable": true}, {"criteria": "cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta1:*:*:*:python:*:*", "matchCriteriaId": "7F40BA40-4529-43DA-A120-BD18300297A0", "vulnerable": true}, {"criteria": "cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta2:*:*:*:python:*:*", "matchCriteriaId": "9CA57AD6-2B0E-4DCB-A2B7-902A1E65CA1C", "vulnerable": true}, {"criteria": "cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta3:*:*:*:python:*:*", "matchCriteriaId": "C334714F-3BEC-460A-8D91-C520714F697C", "vulnerable": true}, {"criteria": "cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta4:*:*:*:python:*:*", "matchCriteriaId": "B5ECE52B-4D6F-45F8-8130-325E92442852", "vulnerable": true}, {"criteria": "cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta5:*:*:*:python:*:*", "matchCriteriaId": "2FA7C8EF-F233-4DC7-8E03-A29245CD97BF", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "cveTags": [], "descriptions": [{"lang": "en", "value": "Pydantic AI is a Python agent framework for building Generative AI applications. In versions 1.65.0 through 1.105.0, and 2.0.0b1 through 2.0.0b5, a client that submits message history to a Pydantic AI UI adapter (such as the Vercel AI adapter) can reference arbitrary files in the application's model-provider or cloud-storage account. While file URL parts are validated against a scheme allowlist, UploadedFile references \u2014 which point to a file by provider file ID or cloud-storage URI (e.g. s3://\u2026, gs://\u2026) \u2014 were forwarded without validation. Because the provider resolves an UploadedFile using the server-side identity (IAM role, service account, or provider API key) rather than the client's, an attacker can craft message history to make the server read objects from its own account or other tenants, given a referenceable identifier. Exploitation requires a valid file identifier, which is not always unguessable depending on how the application names objects. This issue has been fixed in versions 1.106.0 and 2.0.0b6."}], "id": "CVE-2026-54249", "lastModified": "2026-08-04T13:22:03.630", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 6.8, "baseSeverity": "MEDIUM", "confidentialityImpact": "HIGH", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "CHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N", "version": "3.1"}, "exploitabilityScore": 2.2, "impactScore": 4.0, "source": "security-advisories@github.com", "type": "Secondary"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2026-54249", "options": [{"exploitation": "none"}, {"automatable": "no"}, {"technicalImpact": "partial"}], "role": "CISA Coordinator", "timestamp": "2026-07-30T13:08:03.344276Z", "version": "2.0.3"}}]}, "published": "2026-07-29T21:17:47.323", "references": [{"source": "security-advisories@github.com", "tags": ["Vendor Advisory"], "url": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-h7p7-w5gc-xj3w"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-918"}], "source": "security-advisories@github.com", "type": "Secondary"}]}

{"bugzilla": {"description": "pydantic-ai: Pydantic AI: Information disclosure through unvalidated file references.", "id": "2508669", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2508669"}, "csaw": false, "cvss3": {"cvss3_base_score": "6.8", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N", "status": "draft"}, "cwe": "CWE-918", "details": ["A flaw was found in pydantic-ai. A remote attacker could exploit this vulnerability by submitting crafted message history containing unvalidated file references. This could trick the server into reading arbitrary files from its own cloud storage accounts, such as Amazon S3 or Google Cloud Storage, or from other tenants. The primary consequence is information disclosure, potentially exposing sensitive data."], "name": "CVE-2026-54249", "package_state": [{"cpe": "cpe:/a:redhat:lightspeed_core", "fix_state": "Not affected", "package_name": "lightspeed-core/lightspeed-stack-rhel9", "product_name": "Lightspeed Core"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Not affected", "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": "Not affected", "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": "Not affected", "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": "Not affected", "package_name": "rhelai3/disk-image-cuda-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}], "public_date": "2026-07-29T20:28:07Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-54249\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-54249\nhttps://github.com/pydantic/pydantic-ai/security/advisories/GHSA-h7p7-w5gc-xj3w"], "threat_severity": "Moderate"}

{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[1.65.0,1.106.0)"}}, {"platform": null, "status": "affected", "versions": {"scheme": "generic", "value": "[2.0.0b1,2.0.0b6)"}}], "enrichment": {"confidence": 95.0, "confidence_source": "inferred", "scores": [{"score": 95.0, "source": "inferred"}, {"score": 100.0, "source": "matching"}]}, "original": {"product": "pydantic-ai", "source": "cna", "vendor": "pydantic"}, "product": "pydantic-ai", "vendor": "pydantic"}], "created": "2026-07-29T21:30:04.249102+00:00", "updated": "2026-08-04T12:30:09.194420+00:00", "vendors": ["pydantic", "pydantic$PRODUCT$pydantic-ai"]}