CVE-2020-15211
Vulnerability from cvelistv5
Published
2020-09-25 18:45
Modified
2024-08-04 13:08
Severity ?
4.8 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N
Summary
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices for the tensors, indexing into an array of tensors that is owned by the subgraph. This results in a pattern of double array indexing when trying to get the data of each tensor. However, some operators can have some tensors be optional. To handle this scenario, the flatbuffer model uses a negative `-1` value as index for these tensors. This results in special casing during validation at model loading time. Unfortunately, this means that the `-1` index is a valid tensor index for any operator, including those that don't expect optional inputs and including for output tensors. Thus, this allows writing and reading from outside the bounds of heap allocated arrays, although only at a specific offset from the start of these arrays. This results in both read and write gadgets, albeit very limited in scope. The issue is patched in several commits (46d5b0852, 00302787b7, e11f5558, cd31fd0ce, 1970c21, and fff2c83), and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that only operators which accept optional inputs use the `-1` special value and only for the tensors that they expect to be optional. Since this allow-list type approach is erro-prone, we advise upgrading to the patched code.
References
security-advisories@github.comhttp://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlMailing List, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/commit/00302787b788c5ff04cb6f62aed5a74d936e86c0Patch, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/commit/1970c2158b1ffa416d159d03c3370b9a462aee35Patch, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/commit/46d5b0852528ddfd614ded79bccc75589f801bd9Patch, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/commit/cd31fd0ce0449a9e0f83dcad08d6ed7f1d6bef3fPatch, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/commit/e11f55585f614645b360563072ffeb5c3eeff162Patch, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/commit/fff2c8326280c07733828f990548979bdc893859Patch, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-cvpc-8phh-8f45Exploit, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlMailing List, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/00302787b788c5ff04cb6f62aed5a74d936e86c0Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/1970c2158b1ffa416d159d03c3370b9a462aee35Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/46d5b0852528ddfd614ded79bccc75589f801bd9Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/cd31fd0ce0449a9e0f83dcad08d6ed7f1d6bef3fPatch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/e11f55585f614645b360563072ffeb5c3eeff162Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/fff2c8326280c07733828f990548979bdc893859Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cvpc-8phh-8f45Exploit, Third Party Advisory
Impacted products
Vendor Product Version
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Esto resulta en un cubierta especial durante la comprobaci\u00f3n en el momento de la carga del modelo. Desafortunadamente, esto significa que el \u00edndice \\\"-1\\\" es un \u00edndice tensorial v\u00e1lido para cualquier operador, incluyendo aquellos que no esperan entradas opcionales e incluso para tensores de salida. Por tanto, esto permite escribir y leer desde fuera de los l\u00edmites de los arreglos asignados de la pila, aunque solo en un desplazamiento espec\u00edfico desde el inicio de estos arreglos. Esto resulta en gadgets de lectura y escritura, aunque con un alcance muy limitado. El problema es parcheado en varias commits (46d5b0852, 00302787b7, e11f5558, cd31fd0ce, 1970c21 y fff2c83) y es publicado en TensorFlow versiones 1.15.4, 2.0.3, 2.1.2, 2.2.1 o 2.3.1. Una soluci\u00f3n alternativa potencial ser\u00eda agregar un \\\"Verifier\\\" personalizado al c\u00f3digo de carga del modelo para garantizar que solo los operadores que aceptan entradas opcionales usen el valor especial \\\"-1\\\" y solo para los tensores que esperan que sean opcionales. Dado que este enfoque de tipo allow-list es propenso a errores, recomendamos actualizar al c\u00f3digo parcheado\"}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N\",\"baseScore\":4.8,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"HIGH\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"LOW\",\"integrityImpact\":\"LOW\",\"availabilityImpact\":\"NONE\"},\"exploitabilityScore\":2.2,\"impactScore\":2.5},{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N\",\"baseScore\":4.8,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"HIGH\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"LOW\",\"integrityImpact\":\"LOW\",\"availabilityImpact\":\"NONE\"},\"exploitabilityScore\":2.2,\"impactScore\":2.5}],\"cvssMetricV2\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"2.0\",\"vectorString\":\"AV:N/AC:M/Au:N/C:P/I:P/A:N\",\"baseScore\":5.8,\"accessVector\":\"NETWORK\",\"accessComplexity\":\"MEDIUM\",\"authentication\":\"NONE\",\"confidentialityImpact\":\"PARTIAL\",\"integrityImpact\":\"PARTIAL\",\"availabilityImpact\":\"NONE\"},\"baseSeverity\":\"MEDIUM\",\"exploitabilityScore\":8.6,\"impactScore\":4.9,\"acInsufInfo\":false,\"obtainAllPrivilege\":false,\"obtainUserPrivilege\":false,\"obtainOtherPrivilege\":false,\"userInteractionRequired\":false}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-125\"},{\"lang\":\"en\",\"value\":\"CWE-787\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*\",\"versionEndExcluding\":\"1.15.4\",\"matchCriteriaId\":\"7A5421A9-693F-472A-9A21-43950C884C77\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*\",\"versionStartIncluding\":\"2.0.0\",\"versionEndExcluding\":\"2.0.3\",\"matchCriteriaId\":\"B0FEB74E-5E54-4A2F-910C-FA1812C73DB2\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*\",\"versionStartIncluding\":\"2.1.0\",\"versionEndExcluding\":\"2.1.2\",\"matchCriteriaId\":\"47D83682-6615-49BC-8043-F36B9D017578\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*\",\"versionStartIncluding\":\"2.2.0\",\"versionEndExcluding\":\"2.2.1\",\"matchCriteriaId\":\"323B716A-E8F7-4CDA-B8FD-A56977D59C02\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*\",\"versionStartIncluding\":\"2.3.0\",\"versionEndExcluding\":\"2.3.1\",\"matchCriteriaId\":\"C09502A8-B667-4867-BEBD-40333E98A601\"}]}]},{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:*\",\"matchCriteriaId\":\"B009C22E-30A4-4288-BCF6-C3E81DEAF45A\"}]}]}],\"references\":[{\"url\":\"http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Mailing 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  }
}


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  • Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
  • Confirmed: The vulnerability is confirmed from an analyst perspective.
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  • Patched: This vulnerability was successfully patched by the user reporting the sighting.
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  • Not confirmed: The user expresses doubt about the veracity of the vulnerability.
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