Description
TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the `min_range` and `max_range` tensors in parallel but fails to check that they have the same shape. 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-c45w-2wxr-pp53
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/5899741d0421391ca878da47907b1452f06aaf1b
Scores
CVSS v3
2.5
EPSS
0.0001
EPSS Percentile
1.4%
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-125
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