CVE-2021-41219: google tensorflow Access of Uninitialized Pointer

Vulnerability summary

CVE-2021-41219 is a high (CVSS 7.8) Access of Uninitialized Pointer vulnerability in google tensorflow. EPSS estimates a 0.21% chance of exploitation in the next 30 days, higher than 10.6% of scored vulnerabilities. 1 public exploit is recorded.

Timeline

1. 05-11-2021
   PublishedVulnerability first disclosed.
2. 04-08-2024
   Last modifiedVulnerability information updated.

Description

TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

• CWE-824Access of Uninitialized PointerThe product accesses or uses a pointer that has not been initialized.
• CWE-125Out-of-bounds ReadThe product reads data past the end, or before the beginning, of the intended buffer.