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Security Advisories: MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLWZwaHEtZ3c5bS1naHJ2
CHECK-fail in `CTCGreedyDecoder`
Impact
An attacker can trigger a denial of service via a CHECK
-fail in tf.raw_ops.CTCGreedyDecoder
:
import tensorflow as tf
inputs = tf.constant([], shape=[18, 2, 0], dtype=tf.float32)
sequence_length = tf.constant([-100, 17], shape=[2], dtype=tf.int32)
merge_repeated = False
tf.raw_ops.CTCGreedyDecoder(inputs=inputs, sequence_length=sequence_length, merge_repeated=merge_repeated)
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.
Patches
We have patched the issue in GitHub commit ea3b43e98c32c97b35d52b4c66f9107452ca8fb2.
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team.
Permalink: https://github.com/advisories/GHSA-fphq-gw9m-ghrvJSON: https://advisories.ecosyste.ms/api/v1/advisories/MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLWZwaHEtZ3c5bS1naHJ2
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Low
Classification: General
Published: about 2 years ago
Updated: 4 months ago
CVSS Score: 2.5
CVSS vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Identifiers: GHSA-fphq-gw9m-ghrv, CVE-2021-29543
References:
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fphq-gw9m-ghrv
- https://nvd.nist.gov/vuln/detail/CVE-2021-29543
- https://github.com/tensorflow/tensorflow/commit/ea3b43e98c32c97b35d52b4c66f9107452ca8fb2
- https://github.com/advisories/GHSA-fphq-gw9m-ghrv
Affected Packages
pypi:tensorflow-gpu
Versions: >= 2.4.0, < 2.4.2, >= 2.3.0, < 2.3.3, >= 2.2.0, < 2.2.3, < 2.1.4Fixed in: 2.4.2, 2.3.3, 2.2.3, 2.1.4
pypi:tensorflow-cpu
Versions: >= 2.4.0, < 2.4.2, >= 2.3.0, < 2.3.3, >= 2.2.0, < 2.2.3, < 2.1.4Fixed in: 2.4.2, 2.3.3, 2.2.3, 2.1.4
pypi:tensorflow
Versions: >= 2.4.0, < 2.4.2, >= 2.3.0, < 2.3.3, >= 2.2.0, < 2.2.3, < 2.1.4Fixed in: 2.4.2, 2.3.3, 2.2.3, 2.1.4