Total
280 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2022-21725 | 1 Google | 1 Tensorflow | 2024-02-04 | 4.0 MEDIUM | 6.5 MEDIUM |
| Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. | |||||
| CVE-2021-41218 | 1 Google | 1 Tensorflow | 2024-02-04 | 2.1 LOW | 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-2021-41207 | 1 Google | 1 Tensorflow | 2024-02-04 | 2.1 LOW | 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-2021-44917 | 1 Gnuplot | 1 Gnuplot | 2024-02-04 | 4.3 MEDIUM | 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-2022-21741 | 1 Google | 1 Tensorflow | 2024-02-04 | 5.0 MEDIUM | 6.5 MEDIUM |
| Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. | |||||
| CVE-2020-20892 | 1 Ffmpeg | 1 Ffmpeg | 2024-02-04 | 6.8 MEDIUM | 8.8 HIGH |
| An issue was discovered in function filter_frame in libavfilter/vf_lenscorrection.c in Ffmpeg 4.2.1, allows attackers to cause a Denial of Service or other unspecified impacts due to a division by zero. | |||||
| CVE-2020-23903 | 2 Fedoraproject, Xiph | 2 Fedora, Speex | 2024-02-04 | 4.3 MEDIUM | 5.5 MEDIUM |
| A Divide by Zero vulnerability in the function static int read_samples of Speex v1.2 allows attackers to cause a denial of service (DoS) via a crafted WAV file. | |||||
| CVE-2020-23567 | 1 Irfanview | 1 Irfanview | 2024-02-04 | 4.3 MEDIUM | 5.5 MEDIUM |
| Irfanview v4.53 allows attackers to to cause a denial of service (DoS) via a crafted JPEG 2000 file. Related to "Integer Divide By Zero starting at JPEG2000!ShowPlugInSaveOptions_W+0x00000000000082ea" | |||||
| CVE-2022-23557 | 1 Google | 1 Tensorflow | 2024-02-04 | 4.0 MEDIUM | 6.5 MEDIUM |
| Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. | |||||
| CVE-2021-46244 | 1 Hdfgroup | 1 Hdf5 | 2024-02-04 | 4.3 MEDIUM | 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-2021-34335 | 2 Exiv2, Fedoraproject | 2 Exiv2, Fedora | 2024-02-04 | 4.3 MEDIUM | 5.5 MEDIUM |
| Exiv2 is a command-line utility and C++ library for reading, writing, deleting, and modifying the metadata of image files. A floating point exception (FPE) due to an integer divide by zero was found in Exiv2 versions v0.27.4 and earlier. The FPE is triggered when Exiv2 is used to print the metadata of a crafted image file. An attacker could potentially exploit the vulnerability to cause a denial of service, if they can trick the victim into running Exiv2 on a crafted image file. Note that this bug is only triggered when printing the interpreted (translated) data, which is a less frequently used Exiv2 operation that requires an extra command line option (`-p t` or `-P t`). The bug is fixed in version v0.27.5. | |||||
| CVE-2020-20446 | 2 Debian, Ffmpeg | 2 Debian Linux, Ffmpeg | 2024-02-04 | 4.0 MEDIUM | 6.5 MEDIUM |
| FFmpeg 4.2 is affected by a Divide By Zero issue via libavcodec/aacpsy.c, which allows a remote malicious user to cause a Denial of Service. | |||||
| CVE-2021-37668 | 1 Google | 1 Tensorflow | 2024-02-04 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.UnravelIndex` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unravel_index_op.cc#L36) does not check that the tensor subsumed by `dims` is not empty. Hence, if one element of `dims` is 0, the implementation does a division by 0. We have patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233. 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-2021-29595 | 1 Google | 1 Tensorflow | 2024-02-04 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `DepthToSpace` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/depth_to_space.cc#L63-L69). An attacker can craft a model such that `params->block_size` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. | |||||
| CVE-2020-20253 | 1 Mikrotik | 1 Routeros | 2024-02-04 | 4.0 MEDIUM | 6.5 MEDIUM |
| Mikrotik RouterOs before 6.47 (stable tree) suffers from a divison by zero vulnerability in the /nova/bin/lcdstat process. An authenticated remote attacker can cause a Denial of Service due to a divide by zero error. | |||||
| CVE-2020-18774 | 1 Exiv2 | 1 Exiv2 | 2024-02-04 | 4.3 MEDIUM | 6.5 MEDIUM |
| A float point exception in the printLong function in tags_int.cpp of Exiv2 0.27.99.0 allows attackers to cause a denial of service (DOS) via a crafted tif file. | |||||
| CVE-2021-29526 | 1 Google | 1 Tensorflow | 2024-02-04 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2D`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/988087bd83f144af14087fe4fecee2d250d93737/tensorflow/core/kernels/conv_ops.cc#L261-L263) does a division by a quantity that is controlled by the caller. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. | |||||
| CVE-2021-37675 | 1 Google | 1 Tensorflow | 2024-02-04 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/framework/common_shape_fns.cc#L577) is missing several validations before doing divisions and modulo operations. We have patched the issue in GitHub commit 8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4. 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-2021-29527 | 1 Google | 1 Tensorflow | 2024-02-04 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.QuantizedConv2D`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/00e9a4d67d76703fa1aee33dac582acf317e0e81/tensorflow/core/kernels/quantized_conv_ops.cc#L257-L259) does a division by a quantity that is controlled by the caller. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. | |||||
| CVE-2020-20445 | 2 Debian, Ffmpeg | 2 Debian Linux, Ffmpeg | 2024-02-04 | 4.0 MEDIUM | 6.5 MEDIUM |
| FFmpeg 4.2 is affected by a Divide By Zero issue via libavcodec/lpc.h, which allows a remote malicious user to cause a Denial of Service. | |||||