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CVE-2022-23567
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CVE-2022-23567
MITRE ATT&CK
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Command and Control
Credential Access
Defense Evasion
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Exfiltration
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Initial Access
Lateral Movement
Persistence
Privilege Escalation
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Description
Tensorflow is an Open Source Machine Learning Framework. The implementations of Sparse*Cwise* ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or CHECK-fails when building new TensorShape objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape with user-provided dimensions. 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.
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AttackerKB requires a CVE ID in order to pull vulnerability data and references from the CVE list and the National Vulnerability Database. If available, please supply below:
