PT-2022-15072 · Google · Tensorflow
CVSS v4.0
5.3
Medium
| Vector | AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.8.0
TensorFlow versions 2.7.1, 2.6.3, and 2.5.3 are also affected
Description
The implementation of
ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory. This is because the num threads argument is only checked to not be negative, but there is no upper bound on its value.Recommendations
For versions prior to 2.8.0, update to TensorFlow 2.8.0 or later to resolve the issue.
For version 2.7.1, update to a version that includes the cherrypicked commit.
For version 2.6.3, update to a version that includes the cherrypicked commit.
For version 2.5.3, update to a version that includes the cherrypicked commit.
As a temporary workaround, consider restricting the value of the
num threads argument to prevent excessive memory allocation.Exploit
Fix
Resource Exhaustion
Allocation of Resources Without Limits
Found an issue in the description? Have something to add? Feel free to write us 👾
Related Identifiers
Affected Products
Tensorflow