CVE-2020-15265

Description

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.

How to fix CVE-2020-15265

To remediate CVE-2020-15265, upgrade the affected package to a fixed version below.

• —upgrade to 2.4.0 or later
• —upgrade to 2.4.0 or later
• —upgrade to eccb7ec454e6617738554a255d77f08e60ee0808 or later
• —upgrade to eccb7ec454e6617738554a255d77f08e60ee0808 or later
• —upgrade to 2.4.0 or later
• —upgrade to eccb7ec454e6617738554a255d77f08e60ee0808 or later
• —upgrade to 2.4.0 or later

Is CVE-2020-15265 being exploited?

Low — EPSS is 0.2%, meaning exploitation activity has not been observed at scale.

Affected packages (7)

• from 0, < 2.4.0
• from 0, < 2.4.0
• from 0, < eccb7ec454e6617738554a255d77f08e60ee0808 | from 0, < 2.4.0
• from 0, < eccb7ec454e6617738554a255d77f08e60ee0808 | from 0, < 2.4.0
• from 0, < 2.4.0
• from 0, < eccb7ec454e6617738554a255d77f08e60ee0808 | from 0, < 2.4.0
• from 0, < 2.4.0

CVSS scores

References (8)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2020-15265
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-295.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-330.yaml