aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +38 more potentially affected by CVE-2022-23567 via tensorflow (>=2.7.0 <=2.7.0rc1)

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, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-23567 Source advisory: OSV:GHSA-RRX2-R989-2C43...

a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +97 more potentially affected by CVE-2022-23567 via tensorflow-cpu (>=1.15.0 <=2.4.4)

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-2022-23567 Source advisory: OSV:GHSA-RRX2-R989-2C43...

lsmmdma (>=0.0.4 <=0.1.7), tpu-tf2 (=1.0.0) potentially affected by CVE-2022-23567 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-2022-23567 Source advisory: OSV:GHSA-RRX2-R989-2C43...

arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +170 more potentially affected by CVE-2022-23567 via tensorflow-gpu (>=1.10.1 <=2.5.1)

tensorflow-gpu PYPI version =1.10.1, =0.21.0, =0.23.0, =0.9.2, =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 - cctv-analysis =0.0.2 and more Source cves: CVE-2022-23567 Source advisory: OSV:GHSA-RRX2-R989-2C43...

animl (>=1.1.2 <=1.1.4), audio-classification-models (=1.0.1) +7 more potentially affected by CVE-2022-23567 via tensorflow-gpu (>=2.6.0 <=2.6.2)

tensorflow-gpu PYPI version =2.6.0, =1.1.2, =0.1.5, =0.1.0, =0.9.0, =1.0.5, =1.0.6 Source cves: CVE-2022-23567 Source advisory: OSV:GHSA-RRX2-R989-2C43...

rpnet (>=0.0.1 <=0.1.0), rpnet-dev (>=0.0.5 <=0.0.12) +4 more potentially affected by CVE-2022-23567 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-2022-23567 Source advisory:...

Integer overflows in Tensorflow

Impact The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial of service: python import tensorflow as tf import...

alwakeupword (=1.0.0), armadillin (>=0.0.2 <=0.53.0) +42 more potentially affected by CVE-2022-23567 via tensorflow (>=2.6.0 <=2.6.2)

tensorflow PYPI version =2.6.0, =0.0.2, =1.0.1, =0.0.9, =0.2.0, =4.4.0, =1.1.2, =0.2.0, =0.0.1, =1.0.0, =1.1.2 - imgtovar =0.8.5 and more Source cves: CVE-2022-23567 Source advisory: OSV:GHSA-RRX2-R989-2C43...

GHSA-RRX2-R989-2C43 Integer overflows in Tensorflow

Impact The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial of service: python import tensorflow as tf import...

GHSA-6445-FM66-FVQ2 Integer overflows in Tensorflow

Impact The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service: python import tensorflow as tf import numpy as np tf.rawops.AddManySparseToTensorsMap...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4847 more potentially affected by CVE-2022-23568 via tensorflow (>=1.0.1 <=2.5.2)

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-2022-23568 Source advisory: OSV:GHSA-6445-FM66-FVQ2...

alwakeupword (=1.0.0), armadillin (>=0.0.2 <=0.53.0) +42 more potentially affected by CVE-2022-23568 via tensorflow (>=2.6.0 <=2.6.2)

tensorflow PYPI version =2.6.0, =0.0.2, =1.0.1, =0.0.9, =0.2.0, =4.4.0, =1.1.2, =0.2.0, =0.0.1, =1.0.0, =1.1.2 - imgtovar =0.8.5 and more Source cves: CVE-2022-23568 Source advisory: OSV:GHSA-6445-FM66-FVQ2...

aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +38 more potentially affected by CVE-2022-23568 via tensorflow (>=2.7.0 <=2.7.0rc1)

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, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-23568 Source advisory: OSV:GHSA-6445-FM66-FVQ2...

a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +97 more potentially affected by CVE-2022-23568 via tensorflow-cpu (>=1.15.0 <=2.4.4)

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-2022-23568 Source advisory: OSV:GHSA-6445-FM66-FVQ2...

arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +170 more potentially affected by CVE-2022-23568 via tensorflow-gpu (>=1.10.1 <=2.5.1)

tensorflow-gpu PYPI version =1.10.1, =0.21.0, =0.23.0, =0.9.2, =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 - cctv-analysis =0.0.2 and more Source cves: CVE-2022-23568 Source advisory: OSV:GHSA-6445-FM66-FVQ2...

animl (>=1.1.2 <=1.1.4), audio-classification-models (=1.0.1) +7 more potentially affected by CVE-2022-23568 via tensorflow-gpu (>=2.6.0 <=2.6.2)

tensorflow-gpu PYPI version =2.6.0, =1.1.2, =0.1.5, =0.1.0, =0.9.0, =1.0.5, =1.0.6 Source cves: CVE-2022-23568 Source advisory: OSV:GHSA-6445-FM66-FVQ2...

rpnet (>=0.0.1 <=0.1.0), rpnet-dev (>=0.0.5 <=0.0.12) +4 more potentially affected by CVE-2022-23568 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-2022-23568 Source advisory:...

Integer overflows in Tensorflow

Impact The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service: python import tensorflow as tf import numpy as np tf.rawops.AddManySparseToTensorsMap...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4847 more potentially affected by CVE-2022-23569 via tensorflow (>=1.0.1 <=2.5.2)

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-2022-23569 Source advisory: OSV:GHSA-QJ5R-F9MV-RFFH...

alwakeupword (=1.0.0), armadillin (>=0.0.2 <=0.53.0) +42 more potentially affected by CVE-2022-23569 via tensorflow (>=2.6.0 <=2.6.2)

tensorflow PYPI version =2.6.0, =0.0.2, =1.0.1, =0.0.9, =0.2.0, =4.4.0, =1.1.2, =0.2.0, =0.0.1, =1.0.0, =1.1.2 - imgtovar =0.8.5 and more Source cves: CVE-2022-23569 Source advisory: OSV:GHSA-QJ5R-F9MV-RFFH...