32 matches found
alwakeupword (=1.0.0), armadillin (>=0.0.2 <=0.53.0) +42 more potentially affected by CVE-2022-23591 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-2022-23591 Source advisory: OSV:GHSA-247X-2F9F-5WP7...
lsmmdma (>=0.0.4 <=0.1.7), tpu-tf2 (=1.0.0) potentially affected by CVE-2022-23591 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-2022-23591 Source advisory: OSV:GHSA-247X-2F9F-5WP7...
aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +38 more potentially affected by CVE-2022-23591 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-2022-23591 Source advisory: OSV:GHSA-247X-2F9F-5WP7...
125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4847 more potentially affected by CVE-2022-23591 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-2022-23591 Source advisory: OSV:GHSA-247X-2F9F-5WP7...
animl (>=1.1.2 <=1.1.4), audio-classification-models (=1.0.1) +7 more potentially affected by CVE-2022-23591 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-2022-23591 Source advisory: OSV:GHSA-247X-2F9F-5WP7...
rpnet (>=0.0.1 <=0.1.0), rpnet-dev (>=0.0.5 <=0.0.12) +4 more potentially affected by CVE-2022-23591 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-2022-23591 Source advisory:...
animl (>=1.1.2 <=1.1.4), audio-classification-models (=1.0.1) +7 more potentially affected by CVE-2022-23591 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-2022-23591 Source advisory: OSV:PYSEC-2022-155...
arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +171 more potentially affected by CVE-2022-23591 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-2022-23591 Source advisory: OSV:PYSEC-2022-155...
a62-emotion (>=0.10.12 <=0.11.4), agent-atm (>=0.1.0 <=0.1.1) +102 more potentially affected by CVE-2022-23591 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-2022-23591 Source advisory: OSV:PYSEC-2022-100...
CVE-2022-23591
TensorFlow’s GraphDef format allows self-recursive functions, which can cause a stack overflow when loading a SavedModel. Multiple sources (CVE-2022-23591 and related OSV/GHSA entries) describe the underlying issue as a self-recursive function in GraphDef leading to unbounded resolution of NodeDe...
CVE-2022-23591 Stack overflow in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel. This...
CVE-2022-23591 Stack overflow in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel. This...