PT-2021-18294 · Google · Tensorflow
Yakun Zhang
+1
·
Published
2021-05-14
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Updated
2024-03-06
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CVE-2021-29543
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
TensorFlow version 2.2.3
TensorFlow version 2.1.4
Description
An attacker can trigger a denial of service via a
CHECK-fail in tf.raw ops.CTCGreedyDecoder. This is because the implementation has a CHECK LT inserted to validate some invariants. When this condition is false, the program aborts, instead of returning a valid error to the user. This abnormal termination can be weaponized in denial of service attacks.Recommendations
For TensorFlow versions prior to 2.5.0, update to version 2.5.0 or later.
For TensorFlow version 2.4.2, apply the patch from GitHub commit ea3b43e98c32c97b35d52b4c66f9107452ca8fb2.
For TensorFlow version 2.3.3, apply the patch from GitHub commit ea3b43e98c32c97b35d52b4c66f9107452ca8fb2.
For TensorFlow version 2.2.3, apply the patch from GitHub commit ea3b43e98c32c97b35d52b4c66f9107452ca8fb2.
For TensorFlow version 2.1.4, apply the patch from GitHub commit ea3b43e98c32c97b35d52b4c66f9107452ca8fb2.
As a temporary workaround, consider avoiding the use of
tf.raw ops.CTCGreedyDecoder until a patch is applied.Exploit
Fix
Assertion Failure
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow