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CVE
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CVE-2021-29543Date: (C)2021-05-17   (M)2023-12-22


TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.CTCGreedyDecoder`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1615440b17b364b875eb06f43d087381f1460a65/tensorflow/core/kernels/ctc_decoder_ops.cc#L37-L50) 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. 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.

CVSS Score and Metrics +CVSS Score and Metrics -

CVSS V3 Severity:CVSS V2 Severity:
CVSS Score : 5.5CVSS Score : 2.1
Exploit Score: 1.8Exploit Score: 3.9
Impact Score: 3.6Impact Score: 2.9
 
CVSS V3 Metrics:CVSS V2 Metrics:
Attack Vector: LOCALAccess Vector: LOCAL
Attack Complexity: LOWAccess Complexity: LOW
Privileges Required: LOWAuthentication: NONE
User Interaction: NONEConfidentiality: NONE
Scope: UNCHANGEDIntegrity: NONE
Confidentiality: NONEAvailability: PARTIAL
Integrity: NONE 
Availability: HIGH 
  
Reference:
https://github.com/tensorflow/tensorflow/commit/ea3b43e98c32c97b35d52b4c66f9107452ca8fb2
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fphq-gw9m-ghrv

CWE    1
CWE-617

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