CVE-2021-37667
Vulnerability from cvelistv5
Published
2021-08-12 21:40
Modified
2024-08-04 01:23
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.UnicodeEncode`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unicode_ops.cc#L533-L539) reads the first dimension of the `input_splits` tensor before validating that this tensor is not empty. We have patched the issue in GitHub commit 2e0ee46f1a47675152d3d865797a18358881d7a6. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
Impacted products
Vendor | Product | Version | ||
---|---|---|---|---|
tensorflow | tensorflow |
Version: >= 2.5.0, < 2.5.1 Version: >= 2.4.0, < 2.4.3 Version: < 2.3.4 |
{ containers: { adp: [ { providerMetadata: { dateUpdated: "2024-08-04T01:23:01.485Z", orgId: "af854a3a-2127-422b-91ae-364da2661108", shortName: "CVE", }, references: [ { tags: [ "x_refsource_CONFIRM", "x_transferred", ], url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w74j-v8xh-3w5h", }, { tags: [ "x_refsource_MISC", "x_transferred", ], url: "https://github.com/tensorflow/tensorflow/commit/2e0ee46f1a47675152d3d865797a18358881d7a6", }, ], title: "CVE Program Container", }, ], cna: { affected: [ { product: "tensorflow", vendor: "tensorflow", versions: [ { status: "affected", version: ">= 2.5.0, < 2.5.1", }, { status: "affected", version: ">= 2.4.0, < 2.4.3", }, { status: "affected", version: "< 2.3.4", }, ], }, ], descriptions: [ { lang: "en", value: "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.UnicodeEncode`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unicode_ops.cc#L533-L539) reads the first dimension of the `input_splits` tensor before validating that this tensor is not empty. We have patched the issue in GitHub commit 2e0ee46f1a47675152d3d865797a18358881d7a6. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.", }, ], metrics: [ { cvssV3_1: { attackComplexity: "LOW", attackVector: "LOCAL", availabilityImpact: "HIGH", baseScore: 7.8, baseSeverity: "HIGH", confidentialityImpact: "HIGH", integrityImpact: "HIGH", privilegesRequired: "LOW", scope: "UNCHANGED", userInteraction: "NONE", vectorString: "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", version: "3.1", }, }, ], problemTypes: [ { descriptions: [ { cweId: "CWE-824", description: "CWE-824: Access of Uninitialized Pointer", lang: "en", type: "CWE", }, ], }, ], providerMetadata: { dateUpdated: "2021-08-12T21:40:10", orgId: "a0819718-46f1-4df5-94e2-005712e83aaa", shortName: "GitHub_M", }, references: [ { tags: [ "x_refsource_CONFIRM", ], url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w74j-v8xh-3w5h", }, { tags: [ "x_refsource_MISC", ], url: "https://github.com/tensorflow/tensorflow/commit/2e0ee46f1a47675152d3d865797a18358881d7a6", }, ], source: { advisory: "GHSA-w74j-v8xh-3w5h", discovery: "UNKNOWN", }, title: "Reference binding to nullptr in unicode encoding in TensorFlow", x_legacyV4Record: { CVE_data_meta: { ASSIGNER: "security-advisories@github.com", ID: "CVE-2021-37667", STATE: "PUBLIC", TITLE: "Reference binding to nullptr in unicode encoding in TensorFlow", }, affects: { vendor: { vendor_data: [ { product: { product_data: [ { product_name: "tensorflow", version: { version_data: [ { version_value: ">= 2.5.0, < 2.5.1", }, { version_value: ">= 2.4.0, < 2.4.3", }, { version_value: "< 2.3.4", }, ], }, }, ], }, vendor_name: "tensorflow", }, ], }, }, data_format: "MITRE", data_type: "CVE", data_version: "4.0", description: { description_data: [ { lang: "eng", value: "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.UnicodeEncode`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unicode_ops.cc#L533-L539) reads the first dimension of the `input_splits` tensor before validating that this tensor is not empty. We have patched the issue in GitHub commit 2e0ee46f1a47675152d3d865797a18358881d7a6. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.", }, ], }, impact: { cvss: { attackComplexity: "LOW", attackVector: "LOCAL", availabilityImpact: "HIGH", baseScore: 7.8, baseSeverity: "HIGH", confidentialityImpact: "HIGH", integrityImpact: "HIGH", privilegesRequired: "LOW", scope: "UNCHANGED", userInteraction: "NONE", vectorString: "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", version: "3.1", }, }, problemtype: { problemtype_data: [ { description: [ { lang: "eng", value: "CWE-824: Access of Uninitialized Pointer", }, ], }, ], }, references: { reference_data: [ { name: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w74j-v8xh-3w5h", refsource: "CONFIRM", url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w74j-v8xh-3w5h", }, { name: "https://github.com/tensorflow/tensorflow/commit/2e0ee46f1a47675152d3d865797a18358881d7a6", refsource: "MISC", url: "https://github.com/tensorflow/tensorflow/commit/2e0ee46f1a47675152d3d865797a18358881d7a6", }, ], }, source: { advisory: "GHSA-w74j-v8xh-3w5h", discovery: "UNKNOWN", }, }, }, }, cveMetadata: { assignerOrgId: "a0819718-46f1-4df5-94e2-005712e83aaa", assignerShortName: "GitHub_M", cveId: "CVE-2021-37667", datePublished: "2021-08-12T21:40:10", dateReserved: "2021-07-29T00:00:00", dateUpdated: "2024-08-04T01:23:01.485Z", state: "PUBLISHED", }, dataType: "CVE_RECORD", dataVersion: "5.1", "vulnerability-lookup:meta": { nvd: "{\"cve\":{\"id\":\"CVE-2021-37667\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2021-08-12T22:15:08.340\",\"lastModified\":\"2024-11-21T06:15:39.283\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.UnicodeEncode`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unicode_ops.cc#L533-L539) reads the first dimension of the `input_splits` tensor before validating that this tensor is not empty. We have patched the issue in GitHub commit 2e0ee46f1a47675152d3d865797a18358881d7a6. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.\"},{\"lang\":\"es\",\"value\":\"TensorFlow es una plataforma de código abierto de extremo a extremo para el aprendizaje automático. En las versiones afectadas, un atacante puede causar un comportamiento indefinido por medio de la vinculación de una referencia a un puntero null en \\\"tf.raw_ops.UnicodeEncode\\\". La [implementación](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unicode_ops.cc#L533-L539) lee la primera dimensión del tensor \\\"input_splits\\\" antes de comprender que este tensor no está vacío. Hemos parcheado el problema en el commit 2e0ee46f1a47675152d3d865797a18358881d7a6 de GitHub. La corrección será incluida en TensorFlow versión 2.6.0. 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Sightings
Author | Source | Type | Date |
---|
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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- 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.