a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +98 more potentially affected by CVE-2022-36002 via tensorflow-cpu (>=1.15.0 <=2.7.0)

tensorflow-cpu PYPI version =1.15.0, =0.10.12, =2.0.0, =2.0.0, =1.0.0, =0.0.5, =0.3.0, =0.0.1, =0.8.1, =0.1.1, =1.3.0, =0.1.0.dev1, =0.0.1, =0.3.3 and more Source cves: CVE-2022-36002 Source advisory: OSV:GHSA-MH3M-62V7-68XG...

aliby (>=0.1.18 <=0.1.55), aliby-baby (>=0.1.11 <=0.1.17) +29 more potentially affected by CVE-2022-36002 via tensorflow (>=2.9.0 <=2.9.0rc2)

tensorflow PYPI version =2.9.0, =0.1.18, =0.1.11, =0.30.0, =0.0.0, =1.3.0, =0.3.0, =1.0.1, =1.2.0, =0.0.6, =1.0.12, =0.1.0, =0.1.1 and more Source cves: CVE-2022-36002 Source advisory: OSV:GHSA-MH3M-62V7-68XG...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4899 more potentially affected by CVE-2022-36002 via tensorflow (>=1.0.1 <=2.7.1)

tensorflow PYPI version =1.0.1, =0.10.11, =0.1.0, =0.0.0, =0.5.0, =0.1.6, =1.0.0, =2.0.0, =1.0.0, =0.0.1, =0.0.7 and more Source cves: CVE-2022-36002 Source advisory: OSV:GHSA-MH3M-62V7-68XG...

clip-jax (=0.0.5) potentially affected by CVE-2022-36002 via tensorflow-cpu (=2.9.0)

tensorflow-cpu PYPI version =2.9.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - clip-jax =0.0.5 Source cves: CVE-2022-36002 Source advisory: OSV:GHSA-MH3M-62V7-68XG...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +182 more potentially affected by CVE-2022-36002 via tensorflow-gpu (>=1.10.1 <=2.7.0)

tensorflow-gpu PYPI version =1.10.1, =1.1.2, =0.21.0, =0.23.0, =0.9.2, =1.0.0, =0.1.0, =0.0.1, =0.0.9, =0.1.0, =0.0.1, =1.0.0, =1.0.3 - brainhance =0.0.1 and more Source cves: CVE-2022-36002 Source advisory: OSV:GHSA-MH3M-62V7-68XG...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-36002 via tensorflow-gpu (=2.8.0)

tensorflow-gpu PYPI version =2.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - causalegm =0.2.1, =0.1.0, =0.0.6, =2.3.5, =2.4.1 - tlaunch =0.0.2 Source cves: CVE-2022-36002 Source advisory: OSV:GHSA-MH3M-62V7-6...

GHSA-MH3M-62V7-68XG TensorFlow vulnerable to `CHECK` fail in `Unbatch`

Impact When Unbatch receives a nonscalar input id, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg0=tf.constantvalue=np.random.randomsize=3, 3, 1, dtype=tf.float64 arg1=tf.constantvalue=np.random.randint0,100,size=3, 3, 1,...

TensorFlow vulnerable to `CHECK` fail in `Unbatch`

Impact When Unbatch receives a nonscalar input id, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg0=tf.constantvalue=np.random.randomsize=3, 3, 1, dtype=tf.float64 arg1=tf.constantvalue=np.random.randint0,100,size=3, 3, 1,...

CVE-2022-36026

TensorFlow vulnerability CVE-2022-36026: A non-scalar num_bits input to QuantizeAndDequantizeV3 triggers a CHECK failure, enabling denial of service. The issue is fixed in commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713 and the fix will be in TensorFlow 2.10.0; cherry-picks are planned for 2.9.1,...

CVE-2022-36026 `CHECK` fail in `QuantizeAndDequantizeV3` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizeAndDequantizeV3 is given a nonscalar numbits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713...

CVE-2022-36026 `CHECK` fail in `QuantizeAndDequantizeV3` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizeAndDequantizeV3 is given a nonscalar numbits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713...

CVE-2022-36026

TensorFlow is an open source platform for machine learning. If QuantizeAndDequantizeV3 is given a nonscalar numbits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713...

CVE-2022-36026 `CHECK` fail in `QuantizeAndDequantizeV3` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizeAndDequantizeV3 is given a nonscalar numbits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713...

CVE-2022-36018 `CHECK` fail in `RaggedTensorToVariant` in TensorFlow

TensorFlow is an open source platform for machine learning. If RaggedTensorToVariant is given a rtnestedsplits list that contains tensors of ranks other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-36018 `CHECK` fail in `RaggedTensorToVariant` in TensorFlow

TensorFlow is an open source platform for machine learning. If RaggedTensorToVariant is given a rtnestedsplits list that contains tensors of ranks other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-36018

TensorFlow CVE-2022-36018 describes a denial-of-service risk in RaggedTensorToVariant when rt_nested_splits contains tensors with ranks other than one. The issue triggers a CHECK failure that can be exploited remotely to disrupt service. A fix was committed (88f93dfe691563baa4ae1e80ccde2d5c7a1438...

CVE-2022-36018 `CHECK` fail in `RaggedTensorToVariant` in TensorFlow

TensorFlow is an open source platform for machine learning. If RaggedTensorToVariant is given a rtnestedsplits list that contains tensors of ranks other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-36019 `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel` in TensorFlow

TensorFlow is an open source platform for machine learning. If FakeQuantWithMinMaxVarsPerChannel is given min or max tensors of a rank other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-36019 `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel` in TensorFlow

TensorFlow is an open source platform for machine learning. If FakeQuantWithMinMaxVarsPerChannel is given min or max tensors of a rank other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-36019 `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel` in TensorFlow

TensorFlow is an open source platform for machine learning. If FakeQuantWithMinMaxVarsPerChannel is given min or max tensors of a rank other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...