TensorFlow vulnerable to floating point exception in `Conv2D`

Impact If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np with tf.device"CPU": also can...

GHSA-Q5JV-M6QW-5G37 TensorFlow vulnerable to floating point exception in `Conv2D`

Impact If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np with tf.device"CPU": also can...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4899 more potentially affected by CVE-2022-35959 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-2022-35959 Source advisory: OSV:GHSA-WXJJ-CGCX-R3VQ...

acuity (=6.18.0), acuitypro (=6.18.0) +60 more potentially affected by CVE-2022-35959 via tensorflow (>=2.8.0 <=2.8.0rc1)

tensorflow PYPI version =2.8.0, =1.2.8, =1.0.43, =0.2.2, =0.0.1, =0.0.2, =0.2.8, =0.14.0, =0.1.3, =0.0.9, =0.2.27, =0.2.41 - complaintclassify =0.0.5 - conversational-sentence-encoder =0.0.6 and more Source cves: CVE-2022-35959 Source advisory: OSV:GHSA-WXJJ-CGCX-R3VQ...

aliby (>=0.1.18 <=0.1.55), aliby-baby (>=0.1.11 <=0.1.17) +29 more potentially affected by CVE-2022-35959 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-2022-35959 Source advisory: OSV:GHSA-WXJJ-CGCX-R3VQ...

a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +98 more potentially affected by CVE-2022-35959 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-2022-35959 Source advisory: OSV:GHSA-WXJJ-CGCX-R3VQ...

clip-jax (=0.0.5) potentially affected by CVE-2022-35959 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-2022-35959 Source advisory: OSV:GHSA-WXJJ-CGCX-R3VQ...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +182 more potentially affected by CVE-2022-35959 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-2022-35959 Source advisory: OSV:GHSA-WXJJ-CGCX-R3VQ...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-35959 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-2022-35959 Source advisory: OSV:GHSA-WXJJ-CGCX-R...

GHSA-WXJJ-CGCX-R3VQ TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`

Impact The implementation of AvgPool3DGradOp does not fully validate the input originputshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack: python import tensorflow as tf ksize = 1, 1, 1, 1, 1 strides = 1, 1, 1, 1, 1 padding ...

TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`

Impact The implementation of AvgPool3DGradOp does not fully validate the input originputshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack: python import tensorflow as tf ksize = 1, 1, 1, 1, 1 strides = 1, 1, 1, 1, 1 padding ...

CVE-2022-36016 `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs` in TensorFlow

TensorFlow is an open source platform for machine learning. When tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status. We have patched the issue in GitHub commit...

CVE-2022-36016

TensorFlow CVE-2022-36016: A CHECK failure in tensorflow::full_type::SubstituteFromAttrs triggers when FullTypeDef& t has not exactly three args. This can cause a denial-of-service-like impact via a crash. A patch is committed (6104f0d4091c260ce9352f9155f7e9b725eab012) and will be included in Ten...

CVE-2022-36016 `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs` in TensorFlow

TensorFlow is an open source platform for machine learning. When tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status. We have patched the issue in GitHub commit...

CVE-2022-36016 `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs` in TensorFlow

TensorFlow is an open source platform for machine learning. When tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status. We have patched the issue in GitHub commit...

CVE-2022-36016

TensorFlow is an open source platform for machine learning. When tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status. We have patched the issue in GitHub commit...

CVE-2022-36005 `CHECK` fail in `FakeQuantWithMinMaxVarsGradient` in TensorFlow

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

CVE-2022-36005

TensorFlow vulnerability CVE-2022-36005: a CHECK failure in tf.quantization.fake_quant_with_min_max_vars_gradient when min or max inputs are non-scalar can trigger a denial of service. A patch is committed (f3cf67ac5705f4f04721d15e485e192bb319feed) and will be included in TensorFlow 2.10.0; the f...

CVE-2022-36005

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

CVE-2022-36005 `CHECK` fail in `FakeQuantWithMinMaxVarsGradient` in TensorFlow

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