CVE-2020-15202

{"id": "CVE-2020-15202", "metrics": {"cvssMetricV2": [{"type": "Primary", "source": "nvd@nist.gov", "cvssData": {"version": "2.0", "baseScore": 6.8, "accessVector": "NETWORK", "vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P", "authentication": "NONE", "integrityImpact": "PARTIAL", "accessComplexity": "MEDIUM", "availabilityImpact": "PARTIAL", "confidentialityImpact": "PARTIAL"}, "acInsufInfo": false, "impactScore": 6.4, "baseSeverity": "MEDIUM", "obtainAllPrivilege": false, "exploitabilityScore": 8.6, "obtainUserPrivilege": false, "obtainOtherPrivilege": false, "userInteractionRequired": false}], "cvssMetricV31": [{"type": "Primary", "source": "nvd@nist.gov", "cvssData": {"scope": "CHANGED", "version": "3.1", "baseScore": 9.0, "attackVector": "NETWORK", "baseSeverity": "CRITICAL", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "HIGH", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 6.0, "exploitabilityScore": 2.2}, {"type": "Secondary", "source": "security-advisories@github.com", "cvssData": {"scope": "CHANGED", "version": "3.1", "baseScore": 9.0, "attackVector": "NETWORK", "baseSeverity": "CRITICAL", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "HIGH", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 6.0, "exploitabilityScore": 2.2}]}, "published": "2020-09-25T19:15:15.493", "references": [{"url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html", "tags": ["Mailing List", "Third Party Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/tensorflow/tensorflow/commit/27b417360cbd671ef55915e4bb6bb06af8b8a832", "tags": ["Patch", "Third Party Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/tensorflow/tensorflow/commit/ca8c013b5e97b1373b3bb1c97ea655e69f31a575", "tags": ["Patch", "Third Party Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1", "tags": ["Third Party Advisory"], "source": "security-advisories@github.com"}, {"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6fg-mjxg-hqq4", "tags": ["Exploit", "Third Party Advisory"], "source": "security-advisories@github.com"}], "vulnStatus": "Analyzed", "weaknesses": [{"type": "Primary", "source": "nvd@nist.gov", "description": [{"lang": "en", "value": "NVD-CWE-Other"}]}, {"type": "Secondary", "source": "security-advisories@github.com", "description": [{"lang": "en", "value": "CWE-197"}, {"lang": "en", "value": "CWE-754"}]}], "descriptions": [{"lang": "en", "value": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."}, {"lang": "es", "value": "En Tensorflow versiones anteriores a 1.15.4, 2.0.3, 2.1.2, 2.2.1 y 2.3.1, la API \"Shard\" en TensorFlow espera que el \u00faltimo argumento sea una funci\u00f3n que tome dos argumentos \"int64\" (es decir, \"long long\"). Sin embargo, existen varios lugares en TensorFlow donde se usa una lambda que toma argumentos \"int\" o \"int32\". En estos casos, si la cantidad de trabajo que se va a paralelizar es lo suficientemente grande, se produce un truncamiento de enteros. Dependiendo de c\u00f3mo sean usados los dos argumentos de la lambda, esto puede resultar en fallos de segmentaci\u00f3n, lectura y escritura fuera de las matrices asignadas a la pila, desbordamientos de pila o corrupci\u00f3n de datos. El problema es parcheado en las commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 y ca8c013b5e97b1373b3bb1c97ea655e69f31a575, y es publicado en TensorFlow versiones 1.15.4, 2.0.3, 2.1.2, 2.2.1 o 2.3.1"}], "lastModified": "2021-11-18T17:26:40.763", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*", "vulnerable": true, "matchCriteriaId": "EC688B44-17B7-462D-B6E3-BAAF99334782", "versionEndExcluding": "1.15.4"}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*", "vulnerable": true, "matchCriteriaId": "B6271763-8DFA-4A8F-9596-F1148961ECC5", "versionEndExcluding": "2.0.3", "versionStartIncluding": "2.0.0"}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*", "vulnerable": true, "matchCriteriaId": "AA3FD62B-13CB-4EB5-939F-C848DE9AE071", "versionEndExcluding": "2.1.2", "versionStartIncluding": "2.1.0"}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*", "vulnerable": true, "matchCriteriaId": "029CB8A9-ED3D-486D-967C-4CE0AF8D8FAD", "versionEndExcluding": "2.2.1", "versionStartIncluding": "2.2.0"}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*", "vulnerable": true, "matchCriteriaId": "B617650A-B5A1-44BB-BB3A-2EF83648B100", "versionEndExcluding": "2.3.1", "versionStartIncluding": "2.3.0"}], "operator": "OR"}]}, {"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "B009C22E-30A4-4288-BCF6-C3E81DEAF45A"}], "operator": "OR"}]}], "sourceIdentifier": "security-advisories@github.com"}