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/quantizeanddequantize_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.
{ "cpes": [ "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*" ], "severity": "Low" }