CVE-2021-29537
LOWTensorFlow < 2.1.4 - Heap Buffer Overflow in QuantizedResizeBilinear
Title source: llmDescription
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 (2)
Core 2
Core References
Exploit, Patch, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8c89-2vwr-chcq
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/f6c40f0c6cbf00d46c7717a26419f2062f2f8694
Scores
CVSS v3
2.5
EPSS
0.0021
EPSS Percentile
11.3%
Attack Vector
LOCAL
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Details
CWE
CWE-131
CWE-787
Status
published
Products (4)
google/tensorflow
< 2.1.4
pypi/tensorflow
0 - 2.1.4PyPI
pypi/tensorflow-cpu
0 - 2.1.4PyPI
pypi/tensorflow-gpu
0 - 2.1.4PyPI
Published
May 14, 2021
Tracked Since
Feb 18, 2026