13 matches found
CVE-2022-35987
TensorFlow is an open source platform for machine learning. DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. We have...
EUVD-2022-6958
Malicious code in bioql PyPI...
BIT-TENSORFLOW-2022-35987 `CHECK` fail in `DenseBincount` in TensorFlow
TensorFlow is an open source platform for machine learning. DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. We have...
CVE-2022-35987
TensorFlow is an open source platform for machine learning. DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. We have...
Stack overflow
TensorFlow is an open source platform for machine learning. DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. We have...
CVE-2022-35987 `CHECK` fail in `DenseBincount` in TensorFlow
TensorFlow is an open source platform for machine learning. DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. We have...
CVE-2022-35987
TensorFlow is an open source platform for machine learning. DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. We have...
CVE-2022-35987 `CHECK` fail in `DenseBincount` in TensorFlow
TensorFlow is an open source platform for machine learning. DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. We have...
CVE-2022-35987
TensorFlow vulnerability CVE-2022-35987 affects DenseBincount: if weights shape does not match input (or is not length-0), a CHECK failure can be triggered, potentially allowing a denial-of-service. The issue is mitigated by applying the patch from commit bf4c14353c2328636a18bfad1e151052c81d5f43,...
CVE-2022-35987 `CHECK` fail in `DenseBincount` in TensorFlow
TensorFlow is an open source platform for machine learning. DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. We have...
TensorFlow vulnerable to `CHECK` fail in `DenseBincount`
Impact DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True input =...
Google TensorFlow 安全漏洞
Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A security vulnerability exists in Google TensorFlow, which stems from DenseBincount's assumption that its input tensor weights either have the same shape as its input tensor input or have length 0. A...
PT-2022-23085 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.0 through 2.9.0 TensorFlow versions 2.8.0 through 2.8.0 TensorFlow versions 2.7.0 through 2.7.1 Description: The DenseBincount function in TensorFlow assumes its input tensor weights...