animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +176 more potentially affected by CVE-2022-29196 via tensorflow-gpu (>=1.10.1 <=2.6.3)

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-2022-29196 Source advisory: OSV:GHSA-5V77-J66X-4C4G...

rpnet (>=0.0.1 <=0.1.0), rpnet-dev (>=0.0.5 <=0.0.12) +4 more potentially affected by CVE-2022-29196 via tensorflow-gpu (=2.7.0)

tensorflow-gpu PYPI version =2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - rpnet =0.0.1, =0.0.5, =1.0.5, =1.1.1 - tpu-tf2 =1.0.0 - troj =1.0.0 Source cves: CVE-2022-29196 Source advisory:...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-29196 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-2022-29196 Source advisory: OSV:GHSA-5V77-J66X-4...

Missing validation causes denial of service via `Conv3DBackpropFilterV2`

Impact The implementation of tf.rawops.Conv3DBackpropFilterV2 does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf tf.rawops.Conv3DBackpropFilterV2 input=tf.constant.5053710941,...

acuity (=6.18.0), acuitypro (=6.18.0) +60 more potentially affected by CVE-2022-29195 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-2022-29195 Source advisory: OSV:GHSA-H48F-Q7RW-HVR7...

a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +97 more potentially affected by CVE-2022-29195 via tensorflow-cpu (>=1.15.0 <=2.5.3)

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-2022-29195 Source advisory: OSV:GHSA-H48F-Q7RW-HVR7...

lsmmdma (>=0.0.4 <=0.1.7), tpu-tf2 (=1.0.0) potentially affected by CVE-2022-29195 via tensorflow-cpu (=2.7.0)

tensorflow-cpu PYPI version =2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - lsmmdma =0.0.4, =0.1.7 - tpu-tf2 =1.0.0 Source cves: CVE-2022-29195 Source advisory: OSV:GHSA-H48F-Q7RW-HVR7...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-29195 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-2022-29195 Source advisory: OSV:GHSA-H48F-Q7RW-H...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +176 more potentially affected by CVE-2022-29195 via tensorflow-gpu (>=1.10.1 <=2.6.3)

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-2022-29195 Source advisory: OSV:GHSA-H48F-Q7RW-HVR7...

aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +39 more potentially affected by CVE-2022-29195 via tensorflow (>=2.7.0 <=2.7.1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =1.2.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-29195 Source advisory: OSV:GHSA-H48F-Q7RW-HVR7...

rpnet (>=0.0.1 <=0.1.0), rpnet-dev (>=0.0.5 <=0.0.12) +4 more potentially affected by CVE-2022-29195 via tensorflow-gpu (=2.7.0)

tensorflow-gpu PYPI version =2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - rpnet =0.0.1, =0.0.5, =1.0.5, =1.1.1 - tpu-tf2 =1.0.0 - troj =1.0.0 Source cves: CVE-2022-29195 Source advisory:...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4878 more potentially affected by CVE-2022-29195 via tensorflow (>=1.0.1 <=2.6.3)

tensorflow PYPI version =1.0.1, =0.10.11, =0.1.0, =0.0.0, =0.6.0, =0.1.6, =1.0.0, =2.0.0, =1.0.0, =0.0.1, =0.0.7 and more Source cves: CVE-2022-29195 Source advisory: OSV:GHSA-H48F-Q7RW-HVR7...

Missing validation causes denial of service via `StagePeek`

Impact The implementation of tf.rawops.StagePeek does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf index = tf.constant, shape=0, dtype=tf.int32 tf.rawops.StagePeekindex=index,...

GHSA-H48F-Q7RW-HVR7 Missing validation causes denial of service via `StagePeek`

Impact The implementation of tf.rawops.StagePeek does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf index = tf.constant, shape=0, dtype=tf.int32 tf.rawops.StagePeekindex=index,...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4878 more potentially affected by CVE-2022-29194 via tensorflow (>=1.0.1 <=2.6.3)

tensorflow PYPI version =1.0.1, =0.10.11, =0.1.0, =0.0.0, =0.6.0, =0.1.6, =1.0.0, =2.0.0, =1.0.0, =0.0.1, =0.0.7 and more Source cves: CVE-2022-29194 Source advisory: OSV:GHSA-H5G4-PPWX-48Q2...

aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +39 more potentially affected by CVE-2022-29194 via tensorflow (>=2.7.0 <=2.7.1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =1.2.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-29194 Source advisory: OSV:GHSA-H5G4-PPWX-48Q2...

a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +97 more potentially affected by CVE-2022-29194 via tensorflow-cpu (>=1.15.0 <=2.5.3)

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-2022-29194 Source advisory: OSV:GHSA-H5G4-PPWX-48Q2...

lsmmdma (>=0.0.4 <=0.1.7), tpu-tf2 (=1.0.0) potentially affected by CVE-2022-29194 via tensorflow-cpu (=2.7.0)

tensorflow-cpu PYPI version =2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - lsmmdma =0.0.4, =0.1.7 - tpu-tf2 =1.0.0 Source cves: CVE-2022-29194 Source advisory: OSV:GHSA-H5G4-PPWX-48Q2...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +176 more potentially affected by CVE-2022-29194 via tensorflow-gpu (>=1.10.1 <=2.6.3)

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-2022-29194 Source advisory: OSV:GHSA-H5G4-PPWX-48Q2...

rpnet (>=0.0.1 <=0.1.0), rpnet-dev (>=0.0.5 <=0.0.12) +4 more potentially affected by CVE-2022-29194 via tensorflow-gpu (=2.7.0)

tensorflow-gpu PYPI version =2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - rpnet =0.0.1, =0.0.5, =1.0.5, =1.1.1 - tpu-tf2 =1.0.0 - troj =1.0.0 Source cves: CVE-2022-29194 Source advisory:...