{"containers": {"cna": {"affected": [{"product": "tensorflow", "vendor": "tensorflow", "versions": [{"status": "affected", "version": "< 1.15.4"}, {"status": "affected", "version": ">= 2.0.0, < 2.0.3"}, {"status": "affected", "version": ">= 2.1.0, < 2.1.2"}, {"status": "affected", "version": ">= 2.2.0, < 2.2.1"}, {"status": "affected", "version": ">= 2.3.0, < 2.3.1"}]}], "descriptions": [{"lang": "en", "value": "In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."}], "metrics": [{"cvssV3_1": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 7.4, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N", "version": "3.1"}}], "problemTypes": [{"descriptions": [{"cweId": "CWE-125", "description": "{\"CWE-125\":\"Out-of-bounds Read\"}", "lang": "en", "type": "CWE"}]}, {"descriptions": [{"cweId": "CWE-787", "description": "{\"CWE-787\":\"Out-of-bounds Write\"}", "lang": "en", "type": "CWE"}]}], "providerMetadata": {"dateUpdated": "2020-10-29T15:06:18", "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M"}, "references": [{"tags": ["x_refsource_MISC"], "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"}, {"tags": ["x_refsource_CONFIRM"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v"}, {"tags": ["x_refsource_MISC"], "url": "https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d"}, {"name": "openSUSE-SU-2020:1766", "tags": ["vendor-advisory", "x_refsource_SUSE"], "url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html"}], "source": {"advisory": "GHSA-mxjj-953w-2c2v", "discovery": "UNKNOWN"}, "title": "Data corruption in tensorflow-lite", "x_legacyV4Record": {"CVE_data_meta": {"ASSIGNER": "security-advisories@github.com", "ID": "CVE-2020-15208", "STATE": "PUBLIC", "TITLE": "Data corruption in tensorflow-lite"}, "affects": {"vendor": {"vendor_data": [{"product": {"product_data": [{"product_name": "tensorflow", "version": {"version_data": [{"version_value": "< 1.15.4"}, {"version_value": ">= 2.0.0, < 2.0.3"}, {"version_value": ">= 2.1.0, < 2.1.2"}, {"version_value": ">= 2.2.0, < 2.2.1"}, {"version_value": ">= 2.3.0, < 2.3.1"}]}}]}, "vendor_name": "tensorflow"}]}}, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": {"description_data": [{"lang": "eng", "value": "In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."}]}, "impact": {"cvss": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 7.4, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N", "version": "3.1"}}, "problemtype": {"problemtype_data": [{"description": [{"lang": "eng", "value": "{\"CWE-125\":\"Out-of-bounds Read\"}"}]}, {"description": [{"lang": "eng", "value": "{\"CWE-787\":\"Out-of-bounds Write\"}"}]}]}, "references": {"reference_data": [{"name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"}, {"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v"}, {"name": "https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d"}, {"name": "openSUSE-SU-2020:1766", "refsource": "SUSE", "url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html"}]}, "source": {"advisory": "GHSA-mxjj-953w-2c2v", "discovery": "UNKNOWN"}}}, "adp": [{"providerMetadata": {"orgId": "af854a3a-2127-422b-91ae-364da2661108", "shortName": "CVE", "dateUpdated": "2024-08-04T13:08:22.832Z"}, "title": "CVE Program Container", "references": [{"tags": ["x_refsource_MISC", "x_transferred"], "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"}, {"tags": ["x_refsource_CONFIRM", "x_transferred"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v"}, {"tags": ["x_refsource_MISC", "x_transferred"], "url": "https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d"}, {"name": "openSUSE-SU-2020:1766", "tags": ["vendor-advisory", "x_refsource_SUSE", "x_transferred"], "url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html"}]}]}, "cveMetadata": {"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "assignerShortName": "GitHub_M", "cveId": "CVE-2020-15208", "datePublished": "2020-09-25T18:45:40", "dateReserved": "2020-06-25T00:00:00", "dateUpdated": "2024-08-04T13:08:22.832Z", "state": "PUBLISHED"}, "dataType": "CVE_RECORD", "dataVersion": "5.1"}

{}

{"configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*", "matchCriteriaId": "7A5421A9-693F-472A-9A21-43950C884C77", "versionEndExcluding": "1.15.4", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*", "matchCriteriaId": "B0FEB74E-5E54-4A2F-910C-FA1812C73DB2", "versionEndExcluding": "2.0.3", "versionStartIncluding": "2.0.0", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*", "matchCriteriaId": "47D83682-6615-49BC-8043-F36B9D017578", "versionEndExcluding": "2.1.2", "versionStartIncluding": "2.1.0", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*", "matchCriteriaId": "323B716A-E8F7-4CDA-B8FD-A56977D59C02", "versionEndExcluding": "2.2.1", "versionStartIncluding": "2.2.0", "vulnerable": true}, {"criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*", "matchCriteriaId": "C09502A8-B667-4867-BEBD-40333E98A601", "versionEndExcluding": "2.3.1", "versionStartIncluding": "2.3.0", "vulnerable": true}], "negate": false, "operator": "OR"}]}, {"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:*", "matchCriteriaId": "B009C22E-30A4-4288-BCF6-C3E81DEAF45A", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "cveTags": [], "descriptions": [{"lang": "en", "value": "In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, 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-lite versiones anteriores a 1.15.4, 2.0.3, 2.1.2, 2.2.1 y 2.3.1, al determinar el tama\u00f1o de dimensi\u00f3n com\u00fan de dos tensores, TFLite usa un \"DCHECK\" que no es operativo fuera de los modos de compilaci\u00f3n de depuraci\u00f3n.&#xa0;Dado que la funci\u00f3n siempre devuelve la dimensi\u00f3n del primer tensor, los atacantes maliciosos pueden crear casos en los que este sea mayor que el del segundo tensor.&#xa0;A su vez, esto resultar\u00eda en lecturas y escrituras fuera de l\u00edmites, ya que el int\u00e9rprete asumir\u00e1 incorrectamente que existen suficientes datos en ambos tensores.&#xa0;El problema es parcheado en el commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, y es publicado en TensorFlow versiones 1.15.4, 2.0.3, 2.1.2, 2.2.1 o 2.3.1"}], "id": "CVE-2020-15208", "lastModified": "2021-09-16T15:45:33.860", "metrics": {"cvssMetricV2": [{"acInsufInfo": false, "baseSeverity": "HIGH", "cvssData": {"accessComplexity": "LOW", "accessVector": "NETWORK", "authentication": "NONE", "availabilityImpact": "PARTIAL", "baseScore": 7.5, "confidentialityImpact": "PARTIAL", "integrityImpact": "PARTIAL", "vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P", "version": "2.0"}, "exploitabilityScore": 10.0, "impactScore": 6.4, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "source": "nvd@nist.gov", "type": "Primary", "userInteractionRequired": false}], "cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 9.8, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 3.9, "impactScore": 5.9, "source": "nvd@nist.gov", "type": "Primary"}, {"cvssData": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 7.4, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N", "version": "3.1"}, "exploitabilityScore": 2.2, "impactScore": 5.2, "source": "security-advisories@github.com", "type": "Secondary"}]}, "published": "2020-09-25T19:15:16.103", "references": [{"source": "security-advisories@github.com", "tags": ["Mailing List", "Third Party Advisory"], "url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html"}, {"source": "security-advisories@github.com", "tags": ["Patch", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d"}, {"source": "security-advisories@github.com", "tags": ["Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"}, {"source": "security-advisories@github.com", "tags": ["Exploit", "Third Party Advisory"], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-125"}, {"lang": "en", "value": "CWE-787"}], "source": "security-advisories@github.com", "type": "Primary"}]}

{}