Description
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.
Published: 2021-05-14
Score: 2.5 Low
EPSS: < 1% Very Low
KEV: No
Impact: n/a
Action: n/a
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Remediation

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Advisories
Source ID Title
EUVD EUVD EUVD-2021-0278 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.
Github GHSA Github GHSA GHSA-8c89-2vwr-chcq Heap buffer overflow in `QuantizedResizeBilinear`
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Google Tensorflow
cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published:

Updated: 2024-08-03T22:11:05.558Z

Reserved: 2021-03-30T00:00:00.000Z

Link: CVE-2021-29537

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Modified

Published: 2021-05-14T20:15:12.307

Modified: 2024-11-21T06:01:20.060

Link: CVE-2021-29537

cve-icon Redhat

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cve-icon OpenCVE Enrichment

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Weaknesses