CVE-2022-35996

CVSS v3 Score
7.5
High

Vulnerability Description

TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

CVSS:7.5(High)

The TFTP implementation in IBM Tivoli Provisioning Manager for OS Deployment 5.1 before Fix Pack 3 allows remote attackers to cause a denial of service (rembo.exe crash and multiple service outage) vi...

CVSS:7.5(High)

The igmp_heard_query function in net/ipv4/igmp.c in the Linux kernel before 3.2.1 allows remote attackers to cause a denial of service (divide-by-zero error and panic) via IGMP packets.

CVSS:7.5(High)

The ProcPutImage function in dix/dispatch.c in X.Org Server (aka xserver and xorg-server) before 1.16.4 allows attackers to cause a denial of service (divide-by-zero and crash) via a zero-height PutIm...

CVSS:7.5(High)

hw/ide/core.c in QEMU does not properly restrict the commands accepted by an ATAPI device, which allows guest users to cause a denial of service or possibly have unspecified other impact via certain I...

CVSS:7.5(High)

The rgb2ycbcr tool in LibTIFF 4.0.6 and earlier allows remote attackers to cause a denial of service (divide-by-zero) by setting the (1) v or (2) h parameter to 0.

CVSS:7.5(High)

The _TIFFFax3fillruns function in libtiff before 4.0.6 allows remote attackers to cause a denial of service (divide-by-zero error and application crash) via a crafted Tiff image.