ImpulseAdventure JPEGsnoop version 1.7.5 is vulnerable to a division by zero in the JFIF decode handling resulting denial of service.

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.

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.

An issue was discovered in py-lmdb 0.97. There is a divide-by-zero error in the function mdb_env_open2 if mdb_env_read_header obtains a zero value for a certain size field. NOTE: this outcome occurs when accessing a data.mdb file supplied by an attacker.

An issue was discovered in Poppler through 0.78.0. There is a divide-by-zero error in the function SplashOutputDev::tilingPatternFill at SplashOutputDev.cc.

Fox-IT DataDiode (aka Fox DataDiode) 3.4.3 suffers from a Divide-by-Zero vulnerability in the packet parser. A remote attacker could leverage this vulnerability to cause a denial-of-service. Exploitation of this issue does not require user interaction.

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.