CVE-2021-29537
Vulnerability from cvelistv5
Published
2021-05-14 19:11
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 cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. 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/f6c40f0c6cbf00d46c7717a26419f2062f2f8694 | Patch, Third Party Advisory | |
security-advisories@github.com | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8c89-2vwr-chcq | Exploit, Patch, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/commit/f6c40f0c6cbf00d46c7717a26419f2062f2f8694 | Patch, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8c89-2vwr-chcq | 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 |
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An attacker can cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. 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-131", description: "CWE-131: Incorrect Calculation of Buffer Size", lang: "en", type: "CWE", }, ], }, ], providerMetadata: { dateUpdated: "2021-05-14T19:11:41", orgId: "a0819718-46f1-4df5-94e2-005712e83aaa", shortName: "GitHub_M", }, references: [ { tags: [ "x_refsource_CONFIRM", ], url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8c89-2vwr-chcq", }, { tags: [ "x_refsource_MISC", ], url: "https://github.com/tensorflow/tensorflow/commit/f6c40f0c6cbf00d46c7717a26419f2062f2f8694", }, ], source: { advisory: "GHSA-8c89-2vwr-chcq", discovery: "UNKNOWN", }, title: "Heap buffer overflow in `QuantizedResizeBilinear`", x_legacyV4Record: { CVE_data_meta: { ASSIGNER: "security-advisories@github.com", ID: "CVE-2021-29537", STATE: "PUBLIC", TITLE: "Heap buffer overflow in `QuantizedResizeBilinear`", }, 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 cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. The fix will be included in TensorFlow 2.5.0. 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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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- 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.