aggmap (>=1.1.1 <=1.2.1), molmap (>=1.3.1 <=1.4.0) potentially affected by CVE-2022-35941 via tensorflow-gpu (=2.9.1)

tensorflow-gpu PYPI version =2.9.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - aggmap =1.1.1, =1.3.1, =1.4.0 Source cves: CVE-2022-35941 Source advisory: OSV:GHSA-MGMH-G2V6-MQW5...

GHSA-MGMH-G2V6-MQW5 TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`

Impact The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. python import tensorflow as tf import numpy as np value = np.ones1, 1, 1, 1 ksize = 1, 1e20, 1, 1 strides = 1, 1, 1, 1 padding = 'SAM...

TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`

Impact The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. python import tensorflow as tf import numpy as np value = np.ones1, 1, 1, 1 ksize = 1, 1e20, 1, 1 strides = 1, 1, 1, 1 padding = 'SAM...

acuity (=6.18.0), acuitypro (=6.18.0) +60 more potentially affected by CVE-2022-36026 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-2022-36026 Source advisory: OSV:GHSA-9CR2-8PWR-FHFQ...

clip-jax (=0.0.5) potentially affected by CVE-2022-36026 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-2022-36026 Source advisory: OSV:GHSA-9CR2-8PWR-FHFQ...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +182 more potentially affected by CVE-2022-36026 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-2022-36026 Source advisory: OSV:GHSA-9CR2-8PWR-FHFQ...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-36026 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-2022-36026 Source advisory: OSV:GHSA-9CR2-8PWR-F...

aliby (>=0.1.18 <=0.1.55), aliby-baby (>=0.1.11 <=0.1.17) +29 more potentially affected by CVE-2022-36026 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-2022-36026 Source advisory: OSV:GHSA-9CR2-8PWR-FHFQ...

GHSA-9CR2-8PWR-FHFQ TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`

Impact 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. python import tensorflow as tf signedinput = True rangegiven = False narrowrange = False axis = -1 input = tf.constant-3.5, shape=1,...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4899 more potentially affected by CVE-2022-36026 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-2022-36026 Source advisory: OSV:GHSA-9CR2-8PWR-FHFQ...

TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`

Impact 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. python import tensorflow as tf signedinput = True rangegiven = False narrowrange = False axis = -1 input = tf.constant-3.5, shape=1,...

CVE-2022-35981 `CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow

TensorFlow is an open source platform for machine learning. FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack. We have patched the issue in GitHu...

CVE-2022-35981

TensorFlow’s FractionalMaxPoolGrad vulnerability (CVE-2022-35981) stems from input validation using CHECK failures instead of proper error handling, enabling a potential denial of service when inputs are incorrectly sized. A fix is available via commit 8741e57d163a079db05a7107a7609af70931def4, an...

CVE-2022-35981 `CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow

TensorFlow is an open source platform for machine learning. FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack. We have patched the issue in GitHu...

CVE-2022-35981

TensorFlow is an open source platform for machine learning. FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack. We have patched the issue in GitHu...

CVE-2022-35981 `CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow

TensorFlow is an open source platform for machine learning. FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack. We have patched the issue in GitHu...

CVE-2022-35966

TensorFlow is an open source platform for machine learning. If QuantizedAvgPool is given mininput or maxinput tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35973

TensorFlow is an open source platform for machine learning. If QuantizedMatMul is given nonscalar input for: mina, maxa, minb, or maxb It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. T...

CVE-2022-35970

TensorFlow is an open source platform for machine learning. If QuantizedInstanceNorm is given xmin or xmax tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e...

CVE-2022-35972

TensorFlow is an open source platform for machine learning. If QuantizedBiasAdd is given mininput, maxinput, minbias, maxbias tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...