CVE-2022-23561

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive...

rpnet (>=0.0.1 <=0.1.0), rpnet-dev (>=0.0.5 <=0.0.12) +4 more potentially affected by CVE-2022-23561 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-2022-23561 Source advisory:...

arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +171 more potentially affected by CVE-2022-23561 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-2022-23561 Source advisory: OSV:GHSA-9C78-VCQ7-7VXQ...

aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +38 more potentially affected by CVE-2022-23561 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-2022-23561 Source advisory: OSV:GHSA-9C78-VCQ7-7VXQ...

alwakeupword (=1.0.0), armadillin (>=0.0.2 <=0.53.0) +42 more potentially affected by CVE-2022-23561 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-2022-23561 Source advisory: OSV:GHSA-9C78-VCQ7-7VXQ...

arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +171 more potentially affected by CVE-2022-23561 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-2022-23561 Source advisory: OSV:PYSEC-2022-125...

a62-emotion (>=0.10.12 <=0.11.4), agent-atm (>=0.1.0 <=0.1.1) +102 more potentially affected by CVE-2022-23561 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-2022-23561 Source advisory: OSV:PYSEC-2022-70...

animl (>=1.1.2 <=1.1.4), audio-classification-models (=1.0.1) +7 more potentially affected by CVE-2022-23561 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-2022-23561 Source advisory: OSV:PYSEC-2022-125...

CVE-2022-23561 Out of bounds write in TFLite

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive...

CVE-2022-23561

CVE-2022-23561 affects TensorFlow’s TFLite, enabling out-of-bounds writes by crafting a TFLite model that can corrupt the memory allocator’s linked list. This vulnerability allows an arbitrary write primitive under certain conditions as described in the CVE description. Affected details in connec...