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CVE
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CVE-2022-21732Date: (C)2022-02-04   (M)2023-12-22


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.

CVSS Score and Metrics +CVSS Score and Metrics -

CVSS V3 Severity:CVSS V2 Severity:
CVSS Score : 6.5CVSS Score : 4.0
Exploit Score: 2.8Exploit Score: 8.0
Impact Score: 3.6Impact Score: 2.9
 
CVSS V3 Metrics:CVSS V2 Metrics:
Attack Vector: NETWORKAccess Vector: NETWORK
Attack Complexity: LOWAccess Complexity: LOW
Privileges Required: LOWAuthentication: SINGLE
User Interaction: NONEConfidentiality: NONE
Scope: UNCHANGEDIntegrity: NONE
Confidentiality: NONEAvailability: PARTIAL
Integrity: NONE 
Availability: HIGH 
  
Reference:
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135
https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq

CWE    1
CWE-770

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