CVE-2021-29610
14.05.2021, 20:15
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.Enginsight
Vendor | Product | Version |
---|---|---|
tensorflow | 𝑥 < 2.1.4 | |
tensorflow | 2.2.0 ≤ 𝑥 < 2.2.3 | |
tensorflow | 2.3.0 ≤ 𝑥 < 2.3.3 | |
tensorflow | 2.4.0 ≤ 𝑥 < 2.4.2 |
𝑥
= Vulnerable software versions
Common Weakness Enumeration
- CWE-665 - Improper InitializationThe software does not initialize or incorrectly initializes a resource, which might leave the resource in an unexpected state when it is accessed or used.
- CWE-787 - Out-of-bounds WriteThe software writes data past the end, or before the beginning, of the intended buffer.
References