Out-of-bounds Read in Google Tensorflow
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.
Vulnerability class: Buffer Overflow
Published · last modified .
CVSS v3 metric
CVSS v3 base score 5.9 (Medium). Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H.
EPSS exploit prediction
EPSS: 0.009 (58.6th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 59th percentile — 58.6% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.009 · newest: 0.009 · change: 0.000
Affected products
- Google Tensorflow
- Tensorflow — versions < 2.4.0
Weakness classification (CWE)
References
- github.com/tensorflow/tensorflow/security/advisories/GHSA-rrfp-j2mp-hq9c (Exploit, Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/issues/42105 (Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/commit/eccb7ec454e6617738554a255d77f08e60ee0808 (Patch, Third Party Advisory)
Frequently asked questions
- What is CVE-2020-15265?
- CVE-2020-15265 is a medium-severity vulnerability in Google Tensorflow, classified under Out-of-bounds Read. CVSS score: 5.9/10. Published 2020-10-21.
- How severe is CVE-2020-15265?
- Medium severity. CVSS v3 base score is 5.9 out of 10.