Vulnerabilities > CVE-2021-29613 - Out-of-bounds Read vulnerability in Google Tensorflow
Attack vector
LOCAL Attack complexity
LOW Privileges required
LOW Confidentiality impact
HIGH Integrity impact
NONE Availability impact
HIGH Summary
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Vulnerable Configurations
Common Weakness Enumeration (CWE)
Common Attack Pattern Enumeration and Classification (CAPEC)
- Overread Buffers An adversary attacks a target by providing input that causes an application to read beyond the boundary of a defined buffer. This typically occurs when a value influencing where to start or stop reading is set to reflect positions outside of the valid memory location of the buffer. This type of attack may result in exposure of sensitive information, a system crash, or arbitrary code execution.
References
- https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c
- https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c
- https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b
- https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vvg4-vgrv-xfr7
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vvg4-vgrv-xfr7