fkie_cve-2020-15209
Vulnerability from fkie_nvd
Published
2020-09-25 19:15
Modified
2024-11-21 05:05
Severity ?
5.9 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
5.9 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
5.9 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Summary
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one. The runtime assumes that these buffers are written to before a possible read, hence they are initialized with `nullptr`. However, by changing the buffer index for a tensor and implicitly converting that tensor to be a read-write one, as there is nothing in the model that writes to it, we get a null pointer dereference. The issue is patched in commit 0b5662bc, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
References
Impacted products
Vendor | Product | Version | |
---|---|---|---|
tensorflow | * | ||
tensorflow | * | ||
tensorflow | * | ||
tensorflow | * | ||
tensorflow | * | ||
opensuse | leap | 15.2 |
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This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one. The runtime assumes that these buffers are written to before a possible read, hence they are initialized with `nullptr`. However, by changing the buffer index for a tensor and implicitly converting that tensor to be a read-write one, as there is nothing in the model that writes to it, we get a null pointer dereference. The issue is patched in commit 0b5662bc, 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, un modelo TFLite dise\u00f1ado puede forzar a un nodo a tener como entrada un tensor respaldado por un b\u00fafer de \"nullptr\".\u0026#xa0;Esto se puede lograr cambiando un \u00edndice de b\u00fafer en la serializaci\u00f3n flatbuffer para convertir un tensor de solo lectura en uno de lectura y escritura.\u0026#xa0;El tiempo de ejecuci\u00f3n asume que estos b\u00faferes son escritos antes de una posible lectura, por lo que son inicializados con \"nullptr\".\u0026#xa0;Sin embargo, al cambiar el \u00edndice del b\u00fafer por un tensor y convertir impl\u00edcitamente ese tensor en uno de lectura y escritura, ya que no existe nada en el modelo que escriba en \u00e9l, obtenemos una desreferencia del puntero null.\u0026#xa0;El problema es parcheado en el commit 0b5662bc y es publicado en TensorFlow versiones 1.15.4, 2.0.3, 2.1.2, 2.2.1 o 2.3.1" } ], "id": "CVE-2020-15209", "lastModified": "2024-11-21T05:05:05.573", "metrics": { "cvssMetricV2": [ { "acInsufInfo": false, "baseSeverity": "MEDIUM", "cvssData": { "accessComplexity": "MEDIUM", "accessVector": "NETWORK", "authentication": "NONE", "availabilityImpact": "PARTIAL", "baseScore": 4.3, "confidentialityImpact": "NONE", "integrityImpact": "NONE", "vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P", "version": "2.0" }, "exploitabilityScore": 8.6, "impactScore": 2.9, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "source": "nvd@nist.gov", "type": "Primary", "userInteractionRequired": false } ], "cvssMetricV31": [ { "cvssData": { "attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 5.9, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" }, "exploitabilityScore": 2.2, "impactScore": 3.6, "source": "security-advisories@github.com", "type": "Secondary" }, { "cvssData": { "attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 5.9, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" }, "exploitabilityScore": 2.2, "impactScore": 3.6, "source": "nvd@nist.gov", "type": "Primary" } ] }, "published": "2020-09-25T19:15:16.213", "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/0b5662bc2be13a8c8f044d925d87fb6e56247cd8" }, { "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-qh32-6jjc-qprm" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Mailing List", "Third Party Advisory" ], "url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/0b5662bc2be13a8c8f044d925d87fb6e56247cd8" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Exploit", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qh32-6jjc-qprm" } ], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Modified", "weaknesses": [ { "description": [ { "lang": "en", "value": "CWE-476" } ], "source": "security-advisories@github.com", "type": "Primary" } ] }
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Sightings
Author | Source | Type | Date |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.
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