{"id":"CVE-2026-107291","revision":null,"records":[{"revision":"913c13f7e9cf4d888bd6c13acc3076b3","observedAt":"2026-10-23T15:48:27.903+00:00","statement":{"source":"cve-program","id":"CVE-2026-107291","aliases":[],"title":"Pydantic AI OpenTelemetry instrumentation: exception events on tool and agent run spans include content when `include_content=False`","description":"Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 0.3.4 until 1.107.6 and 2.44.0, OpenTelemetry instrumentation configured with InstrumentationSettings(include_content=False) can still export sensitive agent content through exception.message and exception.stacktrace events, error status descriptions, and model_request_parameters containing instructions or the prompted_output_template. The exposed data is available to readers of the configured telemetry backend and can include tool feedback, provider error bodies, runtime instructions, and structured-output templates even though message attributes are redacted. This issue does not grant new access to agent data, and deployments that do not use include_content=False are not affected by the setting bypass. This issue is fixed in versions 1.107.6 and 2.44.0.","state":0,"publishedAt":"2026-10-08T16:22:51.763+00:00","modifiedAt":"2026-10-08T17:25:18.28+00:00","affected":[{"ecosystem":"Vendor product","name":"pydantic-ai","ranges":[],"versions":[],"rawVersionEvidence":"{\n                    \"vendor\": \"pydantic\",\n                    \"product\": \"pydantic-ai\",\n                    \"versions\": [\n                        {\n                            \"version\": \">= 0.3.4, < 1.107.6\",\n                            \"status\": \"affected\"\n                        },\n                        {\n                            \"version\": \">= 2.0.0b1, < 2.44.0\",\n                            \"status\": \"affected\"\n                        }\n                    ]\n                }"},{"ecosystem":"Vendor product","name":"pydantic-ai-slim","ranges":[],"versions":[],"rawVersionEvidence":"{\n                    \"vendor\": \"pydantic\",\n                    \"product\": \"pydantic-ai-slim\",\n                    \"versions\": [\n                        {\n                            \"version\": \">= 0.3.4, < 1.107.6\",\n                            \"status\": \"affected\"\n                        },\n                        {\n                            \"version\": \">= 2.0.0b1, < 2.44.0\",\n                            \"status\": \"affected\"\n                        }\n                    ]\n                }"}],"metrics":[{"system":"CVSS 4.0","vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N","score":2.3,"severity":"LOW"}],"references":["https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-4x9p-g9wm-8q7f","https://github.com/pydantic/pydantic-ai/pull/8403","https://github.com/pydantic/pydantic-ai/pull/8404","https://github.com/pydantic/pydantic-ai/pull/8408","https://github.com/pydantic/pydantic-ai/pull/8428","https://github.com/pydantic/pydantic-ai/pull/8429","https://github.com/pydantic/pydantic-ai/commit/4e013c51a50659aba2adf7853bfb22bb77f6a518","https://github.com/pydantic/pydantic-ai/commit/6b14c74cb281f899a2ae4fae5327111e33f60771","https://github.com/pydantic/pydantic-ai/commit/7ee27e38ab2e525ca60ff1a25d16413ff989fd79","https://github.com/pydantic/pydantic-ai/commit/963dec5f70d6f558997fc259356c0090cc5ea487","https://github.com/pydantic/pydantic-ai/commit/de4e61515327bd80a19cd8552001c30933e6acc3","https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6","https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0"],"sourceUrl":"https://www.cve.org/CVERecord?id=CVE-2026-107291","license":"CVE Program Terms of Use","key":"cve-program:CVE-2026-107291","identifiers":["CVE-2026-107291"]},"retained":false,"historicalAffected":[]}],"coverage":[{"source":"cisa-kev:global","scope":"Complete CISA KEV catalog; all vendors. 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