Vulnerability · Published Oct 21, 2020 · Assigned by GitHub_M
CVE-2020-15265Segfault in Tensorflow
Medium 5.9
In plain English
A medium-severity out-of-bounds read in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.9% (higher than 60% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.4.0 | GHSA-rrfp-j2mp-hq9c |
| PyPI | tensorflow | 2.4.0 | PYSEC-2020-138 |
| PyPI | tensorflow-cpu | 2.4.0 | GHSA-rrfp-j2mp-hq9c |
| PyPI | tensorflow-cpu | 2.4.0 | PYSEC-2020-295 |
| PyPI | tensorflow-gpu | 2.4.0 | GHSA-rrfp-j2mp-hq9c |
| PyPI | tensorflow-gpu | 2.4.0 | PYSEC-2020-330 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.4.0 |
Weakness: CWE-125 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H