{"dataType": "CVE_RECORD", "dataVersion": "5.0", "cveMetadata": {"state": "PUBLISHED", "cveId": "CVE-2022-41897", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "assignerShortName": "GitHub_M", "dateUpdated": "2022-11-18T00:00:00", "dateReserved": "2022-09-30T00:00:00", "datePublished": "2022-11-18T00:00:00"}, "containers": {"cna": {"title": "`FractionalMaxPoolGrad` Heap out of bounds read in Tensorflow", "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2022-11-18T00:00:00"}, "descriptions": [{"lang": "en", "value": "TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range."}], "affected": [{"vendor": "tensorflow", "product": "tensorflow", "versions": [{"version": ">= 2.10.0, < 2.10.1", "status": "affected"}, {"version": ">= 2.9.0, < 2.9.3", "status": "affected"}, {"version": "< 2.8.4", "status": "affected"}]}], "references": [{"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2w8-jw48-fr7j"}, {"url": "https://github.com/tensorflow/tensorflow/commit/d71090c3e5ca325bdf4b02eb236cfb3ee823e927"}, {"url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_max_pool_op.cc"}], "metrics": [{"cvssV3_1": {"version": "3.1", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H", "attackVector": "NETWORK", "attackComplexity": "HIGH", "privilegesRequired": "LOW", "userInteraction": "REQUIRED", "scope": "UNCHANGED", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "availabilityImpact": "HIGH", "baseScore": 4.8, "baseSeverity": "MEDIUM"}}], "problemTypes": [{"descriptions": [{"type": "CWE", "lang": "en", "description": "CWE-125: Out-of-bounds Read", "cweId": "CWE-125"}]}], "source": {"advisory": "GHSA-f2w8-jw48-fr7j", "discovery": "UNKNOWN"}}}}

{"configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "A694EEE1-BFB9-4E6C-B275-02DC2731961C", "versionEndExcluding": "2.8.4", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "9057B403-719C-4F10-BAB6-67F84786A89E", "versionEndExcluding": "2.9.3", "versionStartIncluding": "2.9.0", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "793BC396-7686-47FA-A107-DA6FC90704A2", "versionEndExcluding": "2.10.1", "versionStartIncluding": "2.10.0", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "descriptions": [{"lang": "en", "value": "TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range."}, {"lang": "es", "value": "TensorFlow es una plataforma de c\u00f3digo abierto para aprendizaje autom\u00e1tico. Si a `FractionMaxPoolGrad` se le dan entradas de gran tama\u00f1o `row_pooling_sequence` y `col_pooling_sequence`, TensorFlow fallar\u00e1. Hemos solucionado el problema en GitHub, en el commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. La soluci\u00f3n se incluir\u00e1 en TensorFlow 2.11. Tambi\u00e9n aplicaremos este commit en TensorFlow 2.10.1, 2.9.3 y TensorFlow 2.8.4, ya que estos tambi\u00e9n se ven afectados y a\u00fan se encuentran en el rango admitido."}], "id": "CVE-2022-41897", "lastModified": "2022-11-22T19:34:49.820", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.5, "baseSeverity": "HIGH", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1"}, "exploitabilityScore": 3.9, "impactScore": 3.6, "source": "nvd@nist.gov", "type": "Primary"}, {"cvssData": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 4.8, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H", "version": "3.1"}, "exploitabilityScore": 1.2, "impactScore": 3.6, "source": "security-advisories@github.com", "type": "Secondary"}]}, "published": "2022-11-18T22:15:19.060", "references": [{"source": "security-advisories@github.com", "tags": ["Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_max_pool_op.cc"}, {"source": "security-advisories@github.com", "tags": ["Patch", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/commit/d71090c3e5ca325bdf4b02eb236cfb3ee823e927"}, {"source": "security-advisories@github.com", "tags": ["Exploit", "Patch", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2w8-jw48-fr7j"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-125"}], "source": "security-advisories@github.com", "type": "Primary"}]}

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