PT-2022-15073 · Google · Tensorflow
Yu Tian
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Published
2022-02-03
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Updated
2024-03-06
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CVE-2022-21733
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 and earlier
TensorFlow versions 2.6.3 and earlier
TensorFlow versions 2.5.3 and earlier
Description
The implementation of
StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. This is due to missing validation on pad width, resulting in computing a negative value for ngram width, which is later used to allocate parts of the output.Recommendations
For versions prior to 2.8.0, update to TensorFlow 2.8.0 or later.
For versions 2.7.1 and earlier, update to TensorFlow 2.7.1 or later.
For versions 2.6.3 and earlier, update to TensorFlow 2.6.3 or later.
For versions 2.5.3 and earlier, update to TensorFlow 2.5.3 or later.
As a temporary workaround, consider disabling the
StringNGrams function until a patch is available.
Restrict access to the StringNGrams function to minimize the risk of exploitation.
Avoid using the pad width parameter in the affected API endpoint until the issue is resolved.Exploit
Fix
Resource Exhaustion
Integer Overflow
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Related Identifiers
Affected Products
Tensorflow