LOW · 3.6

CVE-2021-29610

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....

Vulnerability Description

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.

CVSS Score

3.6

LOW

CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L
Attack Vector
LOCAL
Attack Complexity
HIGH
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
LOW
Availability
LOW

Affected Products

VendorProductVersions
GoogleTensorflow< 2.1.4

Related Weaknesses (CWE)

References

FAQ

What is CVE-2021-29610?

CVE-2021-29610 is a vulnerability with a CVSS score of 3.6 (LOW). 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....

How severe is CVE-2021-29610?

CVE-2021-29610 has been rated LOW with a CVSS base score of 3.6/10. Review the CVSS metrics above for detailed severity breakdown.

Is there a patch for CVE-2021-29610?

Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.