fkie_cve-2020-15266
Vulnerability from fkie_nvd
Published
2020-10-21 21:15
Modified
2024-11-21 05:05
Severity ?
3.7 (Low) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Summary
In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
References
▶ | URL | Tags | |
---|---|---|---|
security-advisories@github.com | https://github.com/tensorflow/tensorflow/issues/42129 | Exploit, Patch, Third Party Advisory | |
security-advisories@github.com | https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845 | Patch, Third Party Advisory | |
security-advisories@github.com | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc | Patch, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/issues/42129 | Exploit, Patch, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845 | Patch, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc | Patch, Third Party Advisory |
Impacted products
Vendor | Product | Version | |
---|---|---|---|
tensorflow | * |
{ "configurations": [ { "nodes": [ { "cpeMatch": [ { "criteria": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*", "matchCriteriaId": "837BA051-B044-46A7-BCDF-81785C1E1FF9", "versionEndExcluding": "2.4.0", "vulnerable": true } ], "negate": false, "operator": "OR" } ] } ], "cveTags": [], "descriptions": [ { "lang": "en", "value": "In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved." }, { "lang": "es", "value": "En Tensorflow versiones anteriores a 2.4.0, cuando el argumento \"boxes\" de la funci\u00f3n \"tf.image.crop_and_resize\" presenta un valor muy grande, la implementaci\u00f3n del kernel de la CPU lo recibe como un valor de punto flotante \"nan\" de C++.\u0026#xa0;Intentar operar sobre esto es un comportamiento indefinido que luego produce un fallo de segmentaci\u00f3n.\u0026#xa0;El problema est\u00e1 parcheado en eccb7ec454e6617738554a255d77f08e60ee0808 y TensorFlow 2.4.0 se publicar\u00e1 con el parche.\u0026#xa0;Los paquetes nocturnos de TensorFlow despu\u00e9s de esta confirmaci\u00f3n tambi\u00e9n resolver\u00e1n el problema" } ], "id": "CVE-2020-15266", "lastModified": "2024-11-21T05:05:13.900", "metrics": { "cvssMetricV2": [ { "acInsufInfo": false, "baseSeverity": "MEDIUM", "cvssData": { "accessComplexity": "LOW", "accessVector": "NETWORK", "authentication": "NONE", "availabilityImpact": "PARTIAL", "baseScore": 5.0, "confidentialityImpact": "NONE", "integrityImpact": "NONE", "vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P", "version": "2.0" }, "exploitabilityScore": 10.0, "impactScore": 2.9, "obtainAllPrivilege": false, "obtainOtherPrivilege": false, "obtainUserPrivilege": false, "source": "nvd@nist.gov", "type": "Primary", "userInteractionRequired": false } ], "cvssMetricV31": [ { "cvssData": { "attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "LOW", "baseScore": 3.7, "baseSeverity": "LOW", "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:L", "version": "3.1" }, "exploitabilityScore": 2.2, "impactScore": 1.4, "source": "security-advisories@github.com", "type": "Secondary" }, { "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" } ] }, "published": "2020-10-21T21:15:12.350", "references": [ { "source": "security-advisories@github.com", "tags": [ "Exploit", "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/issues/42129" }, { "source": "security-advisories@github.com", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845" }, { "source": "security-advisories@github.com", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Exploit", "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/issues/42129" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845" }, { "source": "af854a3a-2127-422b-91ae-364da2661108", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc" } ], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Modified", "weaknesses": [ { "description": [ { "lang": "en", "value": "CWE-119" } ], "source": "security-advisories@github.com", "type": "Secondary" }, { "description": [ { "lang": "en", "value": "CWE-119" } ], "source": "nvd@nist.gov", "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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