CVE-2022-21727

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of dimensions of the...

aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +38 more potentially affected by CVE-2022-21727 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-2022-21727 Source advisory: OSV:GHSA-C6FH-56W7-FVJW...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4847 more potentially affected by CVE-2022-21727 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-2022-21727 Source advisory: OSV:GHSA-C6FH-56W7-FVJW...

arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +171 more potentially affected by CVE-2022-21727 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-2022-21727 Source advisory: OSV:GHSA-C6FH-56W7-FVJW...

alwakeupword (=1.0.0), armadillin (>=0.0.2 <=0.53.0) +42 more potentially affected by CVE-2022-21727 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-2022-21727 Source advisory: OSV:GHSA-C6FH-56W7-FVJW...

rpnet (>=0.0.1 <=0.1.0), rpnet-dev (>=0.0.5 <=0.0.12) +4 more potentially affected by CVE-2022-21727 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-2022-21727 Source advisory:...

animl (>=1.1.2 <=1.1.4), audio-classification-models (=1.0.1) +7 more potentially affected by CVE-2022-21727 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-2022-21727 Source advisory: OSV:GHSA-C6FH-56W7-FVJW...

CVE-2022-21727

creationtimestamp| type| source ---|---|--- 2022-02-03 14:29:51+00:00| seen| https://t.me/cibsecurity/36759...

CVE-2022-21727

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of dimensions of the...

animl (>=1.1.2 <=1.1.4), audio-classification-models (=1.0.1) +7 more potentially affected by CVE-2022-21727 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-2022-21727 Source advisory: OSV:PYSEC-2022-106...

a62-emotion (>=0.10.12 <=0.11.4), agent-atm (>=0.1.0 <=0.1.1) +102 more potentially affected by CVE-2022-21727 via tensorflow-cpu (>=1.15.0 <=2.4.4)

tensorflow-cpu PYPI version =1.15.0, =0.10.12, =0.1.0, =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, =0.1.0.dev202107081840 and more Source cves: CVE-2022-21727 Source advisory: OSV:PYSEC-2022-51...

CVE-2022-21727 Integer overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of dimensions of the...

CVE-2022-21727

CVE-2022-21727 : TensorFlow’s Dequantize shape inference is vulnerable to an integer overflow because the axis bound is not checked before computing axis+1. The fix is to be included in TensorFlow 2.8.0, with cherry-picks to 2.7.1, 2.6.3, and 2.5.3. Remediation guidance across connected sources i...