CVE-2021-29530
Vulnerability from cvelistv5
Published
2021-05-14 19:12
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference by providing an invalid `permutation` to `tf.raw_ops.SparseMatrixSparseCholesky`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/kernels/sparse/sparse_cholesky_op.cc#L85-L86) fails to properly validate the input arguments. Although `ValidateInputs` is called and there are checks in the body of this function, the code proceeds to the next line in `ValidateInputs` since `OP_REQUIRES`(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/framework/op_requires.h#L41-L48) is a macro that only exits the current function. Thus, the first validation condition that fails in `ValidateInputs` will cause an early return from that function. However, the caller will continue execution from the next line. The fix is to either explicitly check `context->status()` or to convert `ValidateInputs` to return a `Status`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
▼ | URL | Tags | |
---|---|---|---|
security-advisories@github.com | https://github.com/tensorflow/tensorflow/commit/e6a7c7cc18c3aaad1ae0872cb0a959f5c923d2bd | Patch, Third Party Advisory | |
security-advisories@github.com | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xcwj-wfcm-m23c | Exploit, Patch, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/commit/e6a7c7cc18c3aaad1ae0872cb0a959f5c923d2bd | Patch, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xcwj-wfcm-m23c | Exploit, Patch, Third Party Advisory |
Impacted products
Vendor | Product | Version | ||
---|---|---|---|---|
tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
{ containers: { adp: [ { providerMetadata: { dateUpdated: "2024-08-03T22:11:05.410Z", orgId: "af854a3a-2127-422b-91ae-364da2661108", shortName: "CVE", }, references: [ { tags: [ "x_refsource_CONFIRM", "x_transferred", ], url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xcwj-wfcm-m23c", }, { tags: [ "x_refsource_MISC", "x_transferred", ], url: "https://github.com/tensorflow/tensorflow/commit/e6a7c7cc18c3aaad1ae0872cb0a959f5c923d2bd", }, ], title: "CVE Program Container", }, ], cna: { affected: [ { product: "tensorflow", vendor: "tensorflow", versions: [ { status: "affected", version: "< 2.1.4", }, { status: "affected", version: ">= 2.2.0, < 2.2.3", }, { status: "affected", version: ">= 2.3.0, < 2.3.3", }, { status: "affected", version: ">= 2.4.0, < 2.4.2", }, ], }, ], descriptions: [ { lang: "en", value: "TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference by providing an invalid `permutation` to `tf.raw_ops.SparseMatrixSparseCholesky`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/kernels/sparse/sparse_cholesky_op.cc#L85-L86) fails to properly validate the input arguments. Although `ValidateInputs` is called and there are checks in the body of this function, the code proceeds to the next line in `ValidateInputs` since `OP_REQUIRES`(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/framework/op_requires.h#L41-L48) is a macro that only exits the current function. Thus, the first validation condition that fails in `ValidateInputs` will cause an early return from that function. However, the caller will continue execution from the next line. The fix is to either explicitly check `context->status()` or to convert `ValidateInputs` to return a `Status`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.", }, ], metrics: [ { cvssV3_1: { attackComplexity: "HIGH", attackVector: "LOCAL", availabilityImpact: "LOW", baseScore: 2.5, baseSeverity: "LOW", confidentialityImpact: "NONE", integrityImpact: "NONE", privilegesRequired: "LOW", scope: "UNCHANGED", userInteraction: "NONE", vectorString: "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L", version: "3.1", }, }, ], problemTypes: [ { descriptions: [ { cweId: "CWE-476", description: "CWE-476: NULL Pointer Dereference", lang: "en", type: "CWE", }, ], }, ], providerMetadata: { dateUpdated: "2021-05-14T19:12:17", orgId: "a0819718-46f1-4df5-94e2-005712e83aaa", shortName: "GitHub_M", }, references: [ { tags: [ "x_refsource_CONFIRM", ], url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xcwj-wfcm-m23c", }, { tags: [ "x_refsource_MISC", ], url: "https://github.com/tensorflow/tensorflow/commit/e6a7c7cc18c3aaad1ae0872cb0a959f5c923d2bd", }, ], source: { advisory: "GHSA-xcwj-wfcm-m23c", discovery: "UNKNOWN", }, title: "Invalid validation in `SparseMatrixSparseCholesky`", x_legacyV4Record: { CVE_data_meta: { ASSIGNER: "security-advisories@github.com", ID: "CVE-2021-29530", STATE: "PUBLIC", TITLE: "Invalid validation in `SparseMatrixSparseCholesky`", }, affects: { vendor: { vendor_data: [ { product: { product_data: [ { product_name: "tensorflow", version: { version_data: [ { version_value: "< 2.1.4", }, { version_value: ">= 2.2.0, < 2.2.3", }, { version_value: ">= 2.3.0, < 2.3.3", }, { version_value: ">= 2.4.0, < 2.4.2", }, ], }, }, ], }, 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. An attacker can trigger a null pointer dereference by providing an invalid `permutation` to `tf.raw_ops.SparseMatrixSparseCholesky`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/kernels/sparse/sparse_cholesky_op.cc#L85-L86) fails to properly validate the input arguments. Although `ValidateInputs` is called and there are checks in the body of this function, the code proceeds to the next line in `ValidateInputs` since `OP_REQUIRES`(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/framework/op_requires.h#L41-L48) is a macro that only exits the current function. Thus, the first validation condition that fails in `ValidateInputs` will cause an early return from that function. However, the caller will continue execution from the next line. The fix is to either explicitly check `context->status()` or to convert `ValidateInputs` to return a `Status`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.", }, ], }, impact: { cvss: { attackComplexity: "HIGH", attackVector: "LOCAL", availabilityImpact: "LOW", baseScore: 2.5, baseSeverity: "LOW", confidentialityImpact: "NONE", integrityImpact: "NONE", privilegesRequired: "LOW", scope: "UNCHANGED", userInteraction: "NONE", vectorString: "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L", version: "3.1", }, }, problemtype: { problemtype_data: [ { description: [ { lang: "eng", value: "CWE-476: NULL Pointer Dereference", }, ], }, ], }, references: { reference_data: [ { name: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xcwj-wfcm-m23c", refsource: "CONFIRM", url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xcwj-wfcm-m23c", }, { name: "https://github.com/tensorflow/tensorflow/commit/e6a7c7cc18c3aaad1ae0872cb0a959f5c923d2bd", refsource: "MISC", url: "https://github.com/tensorflow/tensorflow/commit/e6a7c7cc18c3aaad1ae0872cb0a959f5c923d2bd", }, ], }, source: { advisory: "GHSA-xcwj-wfcm-m23c", discovery: "UNKNOWN", }, }, }, }, cveMetadata: { assignerOrgId: "a0819718-46f1-4df5-94e2-005712e83aaa", assignerShortName: "GitHub_M", cveId: "CVE-2021-29530", datePublished: "2021-05-14T19:12:17", dateReserved: "2021-03-30T00:00:00", dateUpdated: "2024-08-03T22:11:05.410Z", state: "PUBLISHED", }, dataType: "CVE_RECORD", dataVersion: "5.1", "vulnerability-lookup:meta": { nvd: "{\"cve\":{\"id\":\"CVE-2021-29530\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2021-05-14T20:15:11.983\",\"lastModified\":\"2024-11-21T06:01:19.203\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference by providing an invalid `permutation` to `tf.raw_ops.SparseMatrixSparseCholesky`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/kernels/sparse/sparse_cholesky_op.cc#L85-L86) fails to properly validate the input arguments. Although `ValidateInputs` is called and there are checks in the body of this function, the code proceeds to the next line in `ValidateInputs` since `OP_REQUIRES`(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/framework/op_requires.h#L41-L48) is a macro that only exits the current function. Thus, the first validation condition that fails in `ValidateInputs` will cause an early return from that function. However, the caller will continue execution from the next line. The fix is to either explicitly check `context->status()` or to convert `ValidateInputs` to return a `Status`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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. Un atacante puede desencadenar una desreferencia de puntero null proporcionando una \\\"permutation\\\" no válida a \\\"tf.raw_ops.SparseMatrixSparseCholesky\\\". Esto es debido a que la implementación (https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/kernels/sparse/sparse_cholesky_op.cc#L85-L86) no comprueba apropiadamente los argumentos de entrada. Aunque se llama a \\\"ValidateInputs\\\" y se presentan comprobaciones en el cuerpo de esta función, el código pasa a la siguiente línea en \\\"ValidateInputs\\\" desde \\\"OP_REQUIRES\\\" (https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow /core/framework/op_requires.h#L41-L48) es una macro que solo sale de la función actual. Por lo tanto, la primera condición de comprobación que fallo en \\\"ValidateInputs\\\" causará un retorno anticipado de esa función. Sin embargo, la persona que llama continuará una ejecución desde la siguiente línea. La corrección es comprobar explícitamente \\\"context-) status()\\\" o convertir \\\"ValidateInputs\\\" para devolver un\\\" Status\\\". La corrección será incluida en TensorFlow versión 2.5.0. También seleccionaremos este commit en TensorFlow versión 2.4.2, TensorFlow versión 2.3.3, TensorFlow versión 2.2.3 y TensorFlow versión 2.1.4, ya que estos también están afectados y aún están en el rango 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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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