125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4899 more potentially affected by CVE-2022-35988 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-2022-35988 Source advisory: OSV:GHSA-9VQJ-64PV-W55C...

a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +98 more potentially affected by CVE-2022-35988 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-2022-35988 Source advisory: OSV:GHSA-9VQJ-64PV-W55C...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-35988 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-2022-35988 Source advisory: OSV:GHSA-9VQJ-64PV-W...

TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`

Impact When tf.linalg.matrixrank receives an empty input a, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf a = tf.constant, shape=0, 1, 1, dtype=tf.float32 tf.linalg.matrixranka=a Patches We have patched the issue in GitHub...

acuity (=6.18.0), acuitypro (=6.18.0) +60 more potentially affected by CVE-2022-35989 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-2022-35989 Source advisory: OSV:GHSA-J43H-PGMG-5HJQ...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-35989 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-2022-35989 Source advisory: OSV:GHSA-J43H-PGMG-5...

a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +98 more potentially affected by CVE-2022-35989 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-2022-35989 Source advisory: OSV:GHSA-J43H-PGMG-5HJQ...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +182 more potentially affected by CVE-2022-35989 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-2022-35989 Source advisory: OSV:GHSA-J43H-PGMG-5HJQ...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4899 more potentially affected by CVE-2022-35989 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-2022-35989 Source advisory: OSV:GHSA-J43H-PGMG-5HJQ...

clip-jax (=0.0.5) potentially affected by CVE-2022-35989 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-2022-35989 Source advisory: OSV:GHSA-J43H-PGMG-5HJQ...

TensorFlow vulnerable to `CHECK` fail in `MaxPool`

Impact When MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np input = np.ones1, 1, 1, 1 ksize = 1, 1, 2, ...

aliby (>=0.1.18 <=0.1.55), aliby-baby (>=0.1.11 <=0.1.17) +29 more potentially affected by CVE-2022-35989 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-2022-35989 Source advisory: OSV:GHSA-J43H-PGMG-5HJQ...

GHSA-J43H-PGMG-5HJQ TensorFlow vulnerable to `CHECK` fail in `MaxPool`

Impact When MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np input = np.ones1, 1, 1, 1 ksize = 1, 1, 2, ...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4899 more potentially affected by CVE-2022-35982 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-2022-35982 Source advisory: OSV:GHSA-397C-5G2J-QXPV...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-35982 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-2022-35982 Source advisory: OSV:GHSA-397C-5G2J-Q...

aliby (>=0.1.18 <=0.1.55), aliby-baby (>=0.1.11 <=0.1.17) +29 more potentially affected by CVE-2022-35982 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-2022-35982 Source advisory: OSV:GHSA-397C-5G2J-QXPV...

acuity (=6.18.0), acuitypro (=6.18.0) +60 more potentially affected by CVE-2022-35982 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-2022-35982 Source advisory: OSV:GHSA-397C-5G2J-QXPV...

a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +98 more potentially affected by CVE-2022-35982 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-2022-35982 Source advisory: OSV:GHSA-397C-5G2J-QXPV...

clip-jax (=0.0.5) potentially affected by CVE-2022-35982 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-2022-35982 Source advisory: OSV:GHSA-397C-5G2J-QXPV...

TensorFlow vulnerable to segfault in `SparseBincount`

Impact If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True indices = tf.random.uniformshape=, minval=-10000...