CVE-2022-21732
MEDIUMTensorFlow < 2.5.3 - Denial of Service via ThreadPoolHandle Memory Allocation
Title source: llmDescription
Tensorflow is an Open Source Machine Learning Framework. 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. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
References (3)
Core 3
Core References
Patch, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e
Exploit, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135
Scores
CVSS v3
4.3
EPSS
0.0075
EPSS Percentile
50.1%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
CISA SSVC
Vulnrichment
Exploitation
none
Automatable
no
Technical Impact
partial
Details
CWE
CWE-770
Status
published
Products (5)
google/tensorflow
2.7.0
google/tensorflow
< 2.5.2
pypi/tensorflow
0 - 2.5.3PyPI
pypi/tensorflow-cpu
0 - 2.5.3PyPI
pypi/tensorflow-gpu
0 - 2.5.3PyPI
Published
Feb 03, 2022
Tracked Since
Feb 18, 2026