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CVE-2026-107291

Status: AnalyzedLow (2.3)—

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.

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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.

CVSS

Exploitation probability (EPSS)

EPSS (Exploit Prediction Scoring System, FIRST) estimates how likely a vulnerability is to be exploited in the wild within 30 days. It complements CVSS (impact) and CISA KEV (confirmed exploitation).

🎯 ATT&CK techniques

How this vulnerability is exploited and what the attacker gains, in MITRE ATT&CK terms.

AV:N/PR:L requiere privilegios y acceso red (T1210), pero es débil (AT:P). T1552.001 por exposición de secretos en telemetría. T1078 por riesgo de credenciales en plantillas y parámetros.

Inferred by our analysis agent from the official description, CVSS vector and CWE, and checked by a supervisor. May contain errors.

🛡️ ATT&CK mitigations that cover these techniques

Affected technologies (1)

CWEs

References

Raw JSON (NVD)

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{
  "id": "CVE-2026-107291",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-107291",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2026-10-08T17:25:09.227835Z"
        }
      }
    ],
    "cvssMetricV31": [
      {
        "type": "Primary",
        "source": "nvd@nist.gov",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 4.3,
          "attackVector": "NETWORK",
          "baseSeverity": "MEDIUM",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
          "integrityImpact": "NONE",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "NONE",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "LOW"
        },
        "impactScore": 1.4,
        "exploitabilityScore": 2.8
      }
    ],
    "cvssMetricV40": [
      {
        "type": "Secondary",
        "source": "security-advisories@github.com",
        "cvssData": {
          "Safety": "NOT_DEFINED",
          "version": "4.0",
          "Recovery": "NOT_DEFINED",
          "baseScore": 2.3,
          "Automatable": "NOT_DEFINED",
          "attackVector": "NETWORK",
          "baseSeverity": "LOW",
          "valueDensity": "NOT_DEFINED",
          "vectorString": "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/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
          "exploitMaturity": "NOT_DEFINED",
          "providerUrgency": "NOT_DEFINED",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "attackRequirements": "PRESENT",
          "privilegesRequired": "LOW",
          "subIntegrityImpact": "NONE",
          "vulnIntegrityImpact": "NONE",
          "integrityRequirement": "NOT_DEFINED",
          "modifiedAttackVector": "NOT_DEFINED",
          "subAvailabilityImpact": "NONE",
          "vulnAvailabilityImpact": "NONE",
          "availabilityRequirement": "NOT_DEFINED",
          "modifiedUserInteraction": "NOT_DEFINED",
          "modifiedAttackComplexity": "NOT_DEFINED",
          "subConfidentialityImpact": "NONE",
          "vulnConfidentialityImpact": "LOW",
          "confidentialityRequirement": "NOT_DEFINED",
          "modifiedAttackRequirements": "NOT_DEFINED",
          "modifiedPrivilegesRequired": "NOT_DEFINED",
          "modifiedSubIntegrityImpact": "NOT_DEFINED",
          "modifiedVulnIntegrityImpact": "NOT_DEFINED",
          "vulnerabilityResponseEffort": "NOT_DEFINED",
          "modifiedSubAvailabilityImpact": "NOT_DEFINED",
          "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
          "modifiedVulnConfidentialityImpact": "NOT_DEFINED"
        }
      }
    ]
  },
  "affected": [
    {
      "source": "security-advisories@github.com",
      "affectedData": [
        {
          "vendor": "pydantic",
          "product": "pydantic-ai",
          "versions": [
            {
              "status": "affected",
              "version": ">= 0.3.4, < 1.107.6"
            },
            {
              "status": "affected",
              "version": ">= 2.0.0b1, < 2.44.0"
            }
          ]
        },
        {
          "vendor": "pydantic",
          "product": "pydantic-ai-slim",
          "versions": [
            {
              "status": "affected",
              "version": ">= 0.3.4, < 1.107.6"
            },
            {
              "status": "affected",
              "version": ">= 2.0.0b1, < 2.44.0"
            }
          ]
        }
      ]
    }
  ],
  "published": "2026-10-08T17:17:14.590",
  "references": [
    {
      "url": "https://github.com/pydantic/pydantic-ai/commit/4e013c51a50659aba2adf7853bfb22bb77f6a518",
      "tags": [
        "Patch"
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      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/pydantic/pydantic-ai/commit/6b14c74cb281f899a2ae4fae5327111e33f60771",
      "tags": [
        "Patch"
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      "source": "security-advisories@github.com"
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    {
      "url": "https://github.com/pydantic/pydantic-ai/commit/7ee27e38ab2e525ca60ff1a25d16413ff989fd79",
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      "url": "https://github.com/pydantic/pydantic-ai/commit/963dec5f70d6f558997fc259356c0090cc5ea487",
      "tags": [
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    {
      "url": "https://github.com/pydantic/pydantic-ai/commit/de4e61515327bd80a19cd8552001c30933e6acc3",
      "tags": [
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      "source": "security-advisories@github.com"
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    {
      "url": "https://github.com/pydantic/pydantic-ai/pull/8403",
      "tags": [
        "Patch",
        "Vendor Advisory"
      ],
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/pydantic/pydantic-ai/pull/8404",
      "tags": [
        "Patch",
        "Vendor Advisory"
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      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/pydantic/pydantic-ai/pull/8408",
      "tags": [
        "Patch",
        "Vendor Advisory"
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      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/pydantic/pydantic-ai/pull/8428",
      "tags": [
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        "Vendor Advisory"
      ],
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/pydantic/pydantic-ai/pull/8429",
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      "source": "security-advisories@github.com"
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    {
      "url": "https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6",
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        "Vendor Advisory"
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      "source": "security-advisories@github.com"
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      "url": "https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0",
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        "Release Notes",
        "Vendor Advisory"
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      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-4x9p-g9wm-8q7f",
      "tags": [
        "Mitigation",
        "Vendor Advisory"
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "type": "Secondary",
      "source": "security-advisories@github.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-212"
        },
        {
          "lang": "en",
          "value": "CWE-532"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "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."
    }
  ],
  "lastModified": "2026-10-13T14:34:22.207",
  "configurations": [
    {
      "nodes": [
        {
          "negate": false,
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:pydantic:pydantic_ai:*:*:*:*:*:python:*:*",
              "vulnerable": true,
              "matchCriteriaId": "B7E9041B-9F7B-4255-AD02-F18EB0BBCA6B",
              "versionEndExcluding": "1.107.4",
              "versionStartIncluding": "0.3.4"
            },
            {
              "criteria": "cpe:2.3:a:pydantic:pydantic_ai:*:-:*:*:*:python:*:*",
              "vulnerable": true,
              "matchCriteriaId": "7FEC7EC8-5520-4930-8853-83108092F8BF",
              "versionEndExcluding": "2.44.0",
              "versionStartIncluding": "2.0.0"
            }
          ],
          "operator": "OR"
        }
      ]
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  ],
  "sourceIdentifier": "security-advisories@github.com"
}