12 matches found
CVE-2022-23569
Tensorflow is an Open Source Machine Learning Framework. Multiple operations in TensorFlow can be used to trigger a denial of service via CHECK-fails i.e., assertion failures. This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. I...
SUSE CVE-2022-23569
Tensorflow is an Open Source Machine Learning Framework. Multiple operations in TensorFlow can be used to trigger a denial of service via CHECK-fails i.e., assertion failures. This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. I...
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...
arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +170 more potentially affected by CVE-2022-23569 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-2022-23569 Source advisory: OSV:GHSA-QJ5R-F9MV-RFFH...
lsmmdma (>=0.0.4 <=0.1.7), tpu-tf2 (=1.0.0) potentially affected by CVE-2022-23569 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-2022-23569 Source advisory: OSV:GHSA-QJ5R-F9MV-RFFH...
aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +38 more potentially affected by CVE-2022-23569 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-2022-23569 Source advisory: OSV:GHSA-QJ5R-F9MV-RFFH...
rpnet (>=0.0.1 <=0.1.0), rpnet-dev (>=0.0.5 <=0.0.12) +4 more potentially affected by CVE-2022-23569 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-2022-23569 Source advisory:...
a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +97 more potentially affected by CVE-2022-23569 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-2022-23569 Source advisory: OSV:GHSA-QJ5R-F9MV-RFFH...
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...
arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +170 more potentially affected by CVE-2022-23569 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-2022-23569 Source advisory: OSV:PYSEC-2022-133...
CVE-2022-23569 `CHECK`-fails when building invalid tensor shapes in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. Multiple operations in TensorFlow can be used to trigger a denial of service via CHECK-fails i.e., assertion failures. This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. I...
CVE-2022-23569
TensorFlow/CVE-2022-23569: Denial‑of‑service via CHECK‑fails (assertion failures) across multiple ops in TensorFlow/TFLite, caused by invalid tensor shapes and related checks. Root cause: assertion failures in core paths; fixes released as patches implemented in GitHub commits. Remediation: upgra...