cve-2022-35982
Vulnerability from cvelistv5
Published
2022-09-16 21:30
Modified
2024-08-03 09:51
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References
Impacted products
Vendor | Product | Version | |
---|---|---|---|
▼ | tensorflow | tensorflow |
Version: < 2.7.2 Version: >= 2.8.0, < 2.8.1 Version: >= 2.9.0, < 2.9.1 |
|
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If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.", }, ], metrics: [ { cvssV3_1: { 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", }, }, ], problemTypes: [ { descriptions: [ { cweId: "CWE-20", description: "CWE-20: Improper Input Validation", lang: "en", type: "CWE", }, ], }, ], providerMetadata: { dateUpdated: "2022-09-16T21:30:13", orgId: "a0819718-46f1-4df5-94e2-005712e83aaa", shortName: "GitHub_M", }, references: [ { tags: [ "x_refsource_CONFIRM", ], url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-397c-5g2j-qxpv", }, { tags: [ "x_refsource_MISC", ], url: "https://github.com/tensorflow/tensorflow/commit/40adbe4dd15b582b0210dfbf40c243a62f5119fa", }, ], source: { advisory: "GHSA-397c-5g2j-qxpv", discovery: "UNKNOWN", }, title: "Segfault in `SparseBincount` in TensorFlow", x_legacyV4Record: { CVE_data_meta: { ASSIGNER: "security-advisories@github.com", ID: "CVE-2022-35982", STATE: "PUBLIC", TITLE: "Segfault in `SparseBincount` in TensorFlow", }, affects: { vendor: { vendor_data: [ { product: { product_data: [ { product_name: "tensorflow", version: { version_data: [ { version_value: "< 2.7.2", }, { version_value: ">= 2.8.0, < 2.8.1", }, { version_value: ">= 2.9.0, < 2.9.1", }, ], }, }, ], }, vendor_name: "tensorflow", }, ], }, }, data_format: "MITRE", data_type: "CVE", data_version: "4.0", description: { description_data: [ { lang: "eng", value: "TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.", }, ], }, impact: { cvss: { 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", }, }, problemtype: { problemtype_data: [ { description: [ { lang: "eng", value: "CWE-20: Improper Input Validation", }, ], }, ], }, references: { reference_data: [ { name: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-397c-5g2j-qxpv", refsource: "CONFIRM", url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-397c-5g2j-qxpv", }, { name: "https://github.com/tensorflow/tensorflow/commit/40adbe4dd15b582b0210dfbf40c243a62f5119fa", refsource: "MISC", url: "https://github.com/tensorflow/tensorflow/commit/40adbe4dd15b582b0210dfbf40c243a62f5119fa", }, ], }, source: { advisory: "GHSA-397c-5g2j-qxpv", discovery: "UNKNOWN", }, }, }, }, cveMetadata: { assignerOrgId: "a0819718-46f1-4df5-94e2-005712e83aaa", assignerShortName: "GitHub_M", cveId: "CVE-2022-35982", datePublished: "2022-09-16T21:30:13", dateReserved: "2022-07-15T00:00:00", dateUpdated: "2024-08-03T09:51:59.337Z", state: "PUBLISHED", }, dataType: "CVE_RECORD", dataVersion: "5.1", "vulnerability-lookup:meta": { nvd: "{\"cve\":{\"id\":\"CVE-2022-35982\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2022-09-16T22:15:11.243\",\"lastModified\":\"2024-11-21T07:12:06.497\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.\"},{\"lang\":\"es\",\"value\":\"TensorFlow es una plataforma de código abierto para el aprendizaje automático. Si \\\"SparseBincount\\\" recibe entradas para \\\"indices\\\", \\\"values\\\" y \\\"dense_shape\\\" que no forman un tensor disperso válido, resulta en un segfault que puede usarse para desencadenar un ataque de denegación de servicio. Hemos parcheado el problema en el commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa de GitHub. La corrección será incluida en TensorFlow versión 2.10.0. También seleccionaremos este compromiso en TensorFlow versión 2.9.1, TensorFlow versión 2.8.1, y TensorFlow versión 2.7.2, ya que estos también están afectados y todavía están en el rango admitido. 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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.
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