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RedhatCVE
RedhatCVE
added 2025/05/22 9:55 p.m.8 views

CVE-2022-35990

TensorFlow is an open source platform for machine learning. When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...

7.5CVSS6.8AI score0.00398EPSS
SaveExploits0References1
CVE
CVE
added 2022/09/16 10:0 p.m.104 views

CVE-2022-35990

TensorFlow vulnerability CVE-2022-35990 affects the tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient function. When input min or max tensors have rank other than 1, a CHECK failure can trigger a denial of service. The issue has been patched in commit f3cf67ac5705f4f04721d15e485e1...

7.5CVSS6.5AI score0.00398EPSS
SaveExploits0References2Affected Software1
Vulnrichment
Vulnrichment
added 2022/09/16 10:0 p.m.11 views

CVE-2022-35990 `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient` in TensorFlow

TensorFlow is an open source platform for machine learning. When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...

5.9CVSS7.5AI score0.00398EPSS
SaveExploits0References2
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