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Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2022/05/20 12:00 a.m.•3 views

CVE-2022-29192: Improper Input Validation

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.QuantizeAndDequantizeV4Grad does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service...

5.5CVSS5.8AI score0.00343EPSS
SaveExploits1References2
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2021/08/12 12:00 a.m.•2 views

CVE-2021-37645: Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...

5.5CVSS5.9AI score0.00152EPSS
SaveExploits0References2
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2021/05/14 12:00 a.m.•3 views

CVE-2021-29544: Improper Check for Unusual or Exceptional Conditions

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.rawops.QuantizeAndDequantizeV4Grad. This is because the implementation does not validate the rank of the input tensors. In turn, this results in the tensors...

5.5CVSS5.8AI score0.0031EPSS
SaveExploits1References2
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