CVE-2021-29610

low-risk
Published 2021-05-14

TensorFlow is an end-to-end open source platform for machine learning. The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument:. The validation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions. If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap. 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.

Do I need to act?

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0.02% chance of exploitation
EPSS score — low exploit probability
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Not on CISA KEV list
No confirmed active exploitation reported to CISA
?
Patch status unknown
Check vendor advisories for fix availability and mitigation guidance
3
CVSS 3.6/10 Low
LOCAL / HIGH complexity

Affected Products (1)

Affected Vendors

Google

References (4)

Patch https://github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7...
Exploit https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3h
Patch https://github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7...
Exploit https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3h
14
/ 100
low-risk
Severity 9/34 · Low
Exploitability 0/34 · Minimal
Exposure 5/34 · Minimal