Total
354 CVE
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2020-16299 | 4 Artifex, Canonical, Debian and 1 more | 4 Ghostscript, Ubuntu Linux, Debian Linux and 1 more | 2024-08-04 | 5.5 Medium |
| A Division by Zero vulnerability in bj10v_print_page() in contrib/japanese/gdev10v.c of Artifex Software GhostScript v9.50 allows a remote attacker to cause a denial of service via a crafted PDF file. This is fixed in v9.51. | ||||
| CVE-2020-16310 | 4 Artifex, Canonical, Debian and 1 more | 4 Ghostscript, Ubuntu Linux, Debian Linux and 1 more | 2024-08-04 | 5.5 Medium |
| A division by zero vulnerability in dot24_print_page() in devices/gdevdm24.c of Artifex Software GhostScript v9.50 allows a remote attacker to cause a denial of service via a crafted PDF file. This is fixed in v9.51. | ||||
| CVE-2020-16161 | 1 Gopro | 1 Gpmf-parser | 2024-08-04 | 7.5 High |
| GoPro gpmf-parser 1.5 has a division-by-zero vulnerability in GPMF_ScaledData(). Parsing malicious input can result in a crash. | ||||
| CVE-2020-16160 | 1 Gopro | 1 Gpmf-parser | 2024-08-04 | 7.5 High |
| GoPro gpmf-parser 1.5 has a division-by-zero vulnerability in GPMF_Decompress(). Parsing malicious input can result in a crash. | ||||
| CVE-2020-14415 | 2 Canonical, Qemu | 2 Ubuntu Linux, Qemu | 2024-08-04 | 3.3 Low |
| oss_write in audio/ossaudio.c in QEMU before 5.0.0 mishandles a buffer position. | ||||
| CVE-2020-12767 | 5 Canonical, Debian, Libexif Project and 2 more | 5 Ubuntu Linux, Debian Linux, Libexif and 2 more | 2024-08-04 | 5.5 Medium |
| exif_entry_get_value in exif-entry.c in libexif 0.6.21 has a divide-by-zero error. | ||||
| CVE-2020-12371 | 1 Intel | 1 Graphics Drivers | 2024-08-04 | 5.5 Medium |
| Divide by zero in some Intel(R) Graphics Drivers before version 26.20.100.8141 may allow a privileged user to potentially enable a denial of service via local access. | ||||
| CVE-2020-11145 | 1 Qualcomm | 413 Apq8009, Apq8009w, Apq8017 and 410 more | 2024-08-04 | 7.5 High |
| Divide by zero issue can happen while updating delta extension header due to improper validation of master SN and extension header SN in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables | ||||
| CVE-2021-46244 | 1 Hdfgroup | 1 Hdf5 | 2024-08-04 | 6.5 Medium |
| A Divide By Zero vulnerability exists in HDF5 v1.13.1-1 vis the function H5T__complete_copy () at /hdf5/src/H5T.c. This vulnerability causes an aritmetic exception, leading to a Denial of Service (DoS). | ||||
| CVE-2021-46312 | 1 Djvulibre Project | 1 Djvulibre | 2024-08-04 | 6.5 Medium |
| An issue was discovered IW44EncodeCodec.cpp in djvulibre 3.5.28 in allows attackers to cause a denial of service via divide by zero. | ||||
| CVE-2021-44917 | 1 Gnuplot | 1 Gnuplot | 2024-08-04 | 5.5 Medium |
| A Divide by Zero vulnerability exists in gnuplot 5.4 in the boundary3d function in graph3d.c, which could cause a Arithmetic exception and application crash. | ||||
| CVE-2021-44500 | 1 Fisglobal | 1 Gt.m | 2024-08-04 | 7.5 High |
| An issue was discovered in FIS GT.M through V7.0-000 (related to the YottaDB code base). A lack of input validation in calls to eb_div in sr_port/eb_muldiv.c allows attackers to crash the application by performing a divide by zero. | ||||
| CVE-2021-42390 | 1 Yandex | 1 Clickhouse | 2024-08-04 | 6.5 Medium |
| Divide-by-zero in Clickhouse's DeltaDouble compression codec when parsing a malicious query. The first byte of the compressed buffer is used in a modulo operation without being checked for 0. | ||||
| CVE-2021-42391 | 1 Yandex | 1 Clickhouse | 2024-08-04 | 6.5 Medium |
| Divide-by-zero in Clickhouse's Gorilla compression codec when parsing a malicious query. The first byte of the compressed buffer is used in a modulo operation without being checked for 0. | ||||
| CVE-2021-42389 | 1 Yandex | 1 Clickhouse | 2024-08-04 | 6.5 Medium |
| Divide-by-zero in Clickhouse's Delta compression codec when parsing a malicious query. The first byte of the compressed buffer is used in a modulo operation without being checked for 0. | ||||
| CVE-2021-41218 | 1 Google | 1 Tensorflow | 2024-08-04 | 5.5 Medium |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `AllToAll` can be made to execute a division by 0. This occurs whenever the `split_count` argument is 0. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | ||||
| CVE-2021-41209 | 1 Google | 1 Tensorflow | 2024-08-04 | 5.5 Medium |
| TensorFlow is an open source platform for machine learning. In affected versions the implementations for convolution operators trigger a division by 0 if passed empty filter tensor arguments. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | ||||
| CVE-2021-41207 | 1 Google | 1 Tensorflow | 2024-08-04 | 5.5 Medium |
| TensorFlow is an open source platform for machine learning. In affected versions the implementation of `ParallelConcat` misses some input validation and can produce a division by 0. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | ||||
| CVE-2021-37680 | 1 Google | 1 Tensorflow | 2024-08-04 | 5.5 Medium |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | ||||
| CVE-2021-37640 | 1 Google | 1 Tensorflow | 2024-08-04 | 5.5 Medium |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.SparseReshape` can be made to trigger an integral division by 0 exception. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L176-L181) calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The [reshape functor](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L40-L78) blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0. We have patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version. | ||||