PT-2021-18305 · Google · Tensorflow
Yakun Zhang
+1
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Published
2021-05-14
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Updated
2024-03-06
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CVE-2021-29554
CVSS v3.1
5.5
Medium
| Vector | AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.5.0
TensorFlow version 2.4.2
TensorFlow version 2.3.3
Description
An attacker can cause a denial of service via a FPE runtime error in
tf.raw ops.DenseCountSparseOutput. This is because the implementation computes a divisor value from user data but does not check that the result is 0 before doing the division. Since data is given by the values argument, num batch elements is 0. The issue can be exploited by providing specific input to the tf.raw ops.DenseCountSparseOutput function, such as empty values and weights arguments.Recommendations
For TensorFlow versions prior to 2.5.0, update to version 2.5.0 or later to resolve the issue.
For TensorFlow version 2.4.2, apply the cherrypicked commit to resolve the issue.
For TensorFlow version 2.3.3, apply the cherrypicked commit to resolve the issue.
As a temporary workaround, consider avoiding the use of the
tf.raw ops.DenseCountSparseOutput function with empty values and weights arguments until a patch is available.Exploit
Fix
Divide By Zero
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow