acuity (=6.18.0), acuitypro (=6.18.0) +60 more potentially affected by CVE-2022-35974 via tensorflow (>=2.8.0 <=2.8.0rc1)

tensorflow PYPI version =2.8.0, =1.2.8, =1.0.43, =0.2.2, =0.0.1, =0.0.2, =0.2.8, =0.14.0, =0.1.3, =0.0.9, =0.2.27, =0.2.41 - complaintclassify =0.0.5 - conversational-sentence-encoder =0.0.6 and more Source cves: CVE-2022-35974 Source advisory: OSV:GHSA-VGVH-2PF4-JR2X...

a62-emotion (>=0.10.12 <=0.11.4), agent-atm (>=0.1.0 <=0.1.1) +103 more potentially affected by CVE-2022-35974 via tensorflow-cpu (>=1.15.0 <=2.7.0)

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-2022-35974 Source advisory: OSV:GHSA-VGVH-2PF4-JR2X...

CVE-2022-35974 Segfault in `QuantizeDownAndShrinkRange` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizeDownAndShrinkRange is given nonscalar inputs for inputmin or inputmax, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35974

Summary: CVE-2022-35974 affects TensorFlow via QuantizeDownAndShrinkRange when given nonscalar input_min/input_max, causing a segfault and a potential denial of service. The issue has been patched in commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613 and the fix will be included in TensorFlow 2.10.0...