FPE in paddle.amin in PaddlePaddle before 2.6.0. This flaw can cause a runtime crash and a denial of service.
A floating point exception (divide-by-zero) vulnerability was discovered in Artifex MuPDF 1.23.4 in the function fz_new_pixmap_from_float_data() of pixmap.c.
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.
A floating point exception (divide-by-zero) vulnerability was discovered in Artifex MuPDF 1.23.4 in function pnm_binary_read_image() of load-pnm.c when span equals zero.
A floating point exception (divide-by-zero) vulnerability was discovered in Artifex MuPDF 1.23.4 in functon compute_color() of jquant2.c. NOTE: this is disputed by the supplier because there was not reasonable evidence to determine the existence of a vulnerability or identify the affected product.
Using the --fragment option in certain configuration setups OpenVPN version 2.6.0 to 2.6.6 allows an attacker to trigger a divide by zero behaviour which could cause an application crash, leading to a denial of service.
FPE in paddle.nanmedian in PaddlePaddle before 2.6.0. This flaw can cause a runtime crash and a denial of service.
FPE in paddle.trace in PaddlePaddle before 2.5.0. This flaw can cause a runtime crash and a denial of service.
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.
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.
When Beckhoff TwinCAT is configured to use the Profinet driver, a denial of service of the controller could be reached by sending a malformed UDP packet to the device. This issue affects TwinCAT 2 version 2304 (and prior) and TwinCAT 3.1 version 4204.0 (and prior).
Radare2 has a division by zero vulnerability in Mach-O parser's rebase_buffer function. This allow attackers to create malicious inputs that can cause denial of service.
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.