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.
No analysis available yet.
Remediation
No remediation available yet.
Tracking
Sign in to view the affected projects.
Advisories
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2020-0211 | 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. |
Github GHSA |
GHSA-rrfp-j2mp-hq9c | Segfault in `tf.quantization.quantize_and_dequantize` |
References
History
No history.
Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2024-08-04T13:15:19.748Z
Reserved: 2020-06-25T00:00:00.000Z
Link: CVE-2020-15265
No data.
Status : Modified
Published: 2020-10-21T21:15:12.257
Modified: 2024-11-21T05:05:13.733
Link: CVE-2020-15265
No data.
OpenCVE Enrichment
No data.
Weaknesses
EUVD
Github GHSA