Safety vulnerability ID: 40794
The information on this page was manually curated by our Cybersecurity Intelligence Team.
TensorFlow 2.4.0 includes a fix for CVE-2020-15265: In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
Latest version: 2.16.1
TensorFlow is an open source machine learning framework for everyone.
In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. See CVE-2020-15265.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrfp-j2mp-hq9c: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrfp-j2mp-hq9c
MISC:https://github.com/tensorflow/tensorflow/commit/eccb7ec454e6617738554a255d77f08e60ee0808: https://github.com/tensorflow/tensorflow/commit/eccb7ec454e6617738554a255d77f08e60ee0808
MISC:https://github.com/tensorflow/tensorflow/issues/42105: https://github.com/tensorflow/tensorflow/issues/42105
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application