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Total
189 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2022-39318 | 2 Fedoraproject, Freerdp | 2 Fedora, Freerdp | 2024-01-12 | N/A | 5.7 MEDIUM |
| FreeRDP is a free remote desktop protocol library and clients. Affected versions of FreeRDP are missing input validation in `urbdrc` channel. A malicious server can trick a FreeRDP based client to crash with division by zero. This issue has been addressed in version 2.9.0. All users are advised to upgrade. Users unable to upgrade should not use the `/usb` redirection switch. | |||||
| CVE-2021-34335 | 2 Exiv2, Fedoraproject | 2 Exiv2, Fedora | 2023-12-22 | 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-2020-18774 | 1 Exiv2 | 1 Exiv2 | 2023-12-22 | 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-2022-38266 | 3 Debian, Leptonica, Tesseract Project | 3 Debian Linux, Leptonica, Tesseract | 2023-12-18 | N/A | 6.5 MEDIUM |
| An issue in the Leptonica linked library (v1.79.0) allows attackers to cause an arithmetic exception leading to a Denial of Service (DoS) via a crafted JPEG file. | |||||
| CVE-2021-46310 | 1 Djvulibre Project | 1 Djvulibre | 2023-08-28 | N/A | 6.5 MEDIUM |
| An issue was discovered IW44Image.cpp in djvulibre 3.5.28 in allows attackers to cause a denial of service via divide by zero. | |||||
| CVE-2021-46312 | 1 Djvulibre Project | 1 Djvulibre | 2023-08-28 | N/A | 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-2020-21710 | 1 Artifex | 1 Ghostscript | 2023-08-25 | N/A | 5.5 MEDIUM |
| A divide by zero issue discovered in eps_print_page in gdevepsn.c in Artifex Software GhostScript 9.50 allows remote attackers to cause a denial of service via opening of crafted PDF file. | |||||
| CVE-2023-32573 | 2 Qt, Redhat | 2 Qt, Enterprise Linux | 2023-08-23 | N/A | 6.5 MEDIUM |
| In Qt before 5.15.14, 6.0.x through 6.2.x before 6.2.9, and 6.3.x through 6.5.x before 6.5.1, QtSvg QSvgFont m_unitsPerEm initialization is mishandled. | |||||
| CVE-2019-19888 | 1 Rockcarry | 1 Ffjpeg | 2023-08-17 | 4.3 MEDIUM | 6.5 MEDIUM |
| jfif_decode in jfif.c in ffjpeg through 2019-08-21 has a divide-by-zero error. | |||||
| CVE-2018-17434 | 1 Hdfgroup | 1 Hdf5 | 2023-08-09 | 4.3 MEDIUM | 6.5 MEDIUM |
| A SIGFPE signal is raised in the function apply_filters() of h5repack_filters.c in the HDF HDF5 through 1.10.3 library during an attempted parse of a crafted HDF file, because of incorrect protection against division by zero. It could allow a remote denial of service attack. | |||||
| CVE-2018-17233 | 1 Hdfgroup | 1 Hdf5 | 2023-08-09 | 4.3 MEDIUM | 6.5 MEDIUM |
| A SIGFPE signal is raised in the function H5D__create_chunk_file_map_hyper() of H5Dchunk.c in the HDF HDF5 through 1.10.3 library during an attempted parse of a crafted HDF file, because of incorrect protection against division by zero. It could allow a remote denial of service attack. | |||||
| CVE-2018-17237 | 1 Hdfgroup | 1 Hdf5 | 2023-08-09 | 4.3 MEDIUM | 6.5 MEDIUM |
| A SIGFPE signal is raised in the function H5D__chunk_set_info_real() of H5Dchunk.c in the HDF HDF5 1.10.3 library during an attempted parse of a crafted HDF file, because of incorrect protection against division by zero. This issue is different from CVE-2018-11207. | |||||
| CVE-2023-37769 | 1 Pixman | 1 Pixman | 2023-07-28 | N/A | 6.5 MEDIUM |
| stress-test master commit e4c878 was discovered to contain a FPE vulnerability via the component combine_inner at /pixman-combine-float.c. | |||||
| CVE-2022-2056 | 1 Libtiff | 1 Libtiff | 2022-07-21 | 4.3 MEDIUM | 6.5 MEDIUM |
| Divide By Zero error in tiffcrop in libtiff 4.4.0 allows attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit f3a5e010. | |||||
| CVE-2022-2058 | 1 Libtiff | 1 Libtiff | 2022-07-21 | 4.3 MEDIUM | 6.5 MEDIUM |
| Divide By Zero error in tiffcrop in libtiff 4.4.0 allows attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit f3a5e010. | |||||
| CVE-2022-2057 | 1 Libtiff | 1 Libtiff | 2022-07-21 | 4.3 MEDIUM | 6.5 MEDIUM |
| Divide By Zero error in tiffcrop in libtiff 4.4.0 allows attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit f3a5e010. | |||||
| CVE-2021-44917 | 1 Gnuplot | 1 Gnuplot | 2022-07-04 | 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-2020-16310 | 3 Artifex, Canonical, Debian | 3 Ghostscript, Ubuntu Linux, Debian Linux | 2022-06-29 | 4.3 MEDIUM | 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-2018-13785 | 4 Canonical, Libpng, Oracle and 1 more | 7 Ubuntu Linux, Libpng, Jdk and 4 more | 2022-06-27 | 4.3 MEDIUM | 6.5 MEDIUM |
| In libpng 1.6.34, a wrong calculation of row_factor in the png_check_chunk_length function (pngrutil.c) may trigger an integer overflow and resultant divide-by-zero while processing a crafted PNG file, leading to a denial of service. | |||||
| CVE-2020-27661 | 1 Qemu | 1 Qemu | 2022-05-13 | 2.1 LOW | 6.5 MEDIUM |
| A divide-by-zero issue was found in dwc2_handle_packet in hw/usb/hcd-dwc2.c in the hcd-dwc2 USB host controller emulation of QEMU. A malicious guest could use this flaw to crash the QEMU process on the host, resulting in a denial of service. | |||||
| CVE-2022-0909 | 4 Debian, Fedoraproject, Libtiff and 1 more | 4 Debian Linux, Fedora, Libtiff and 1 more | 2022-05-12 | 4.3 MEDIUM | 5.5 MEDIUM |
| Divide By Zero error in tiffcrop in libtiff 4.3.0 allows attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit f8d0f9aa. | |||||
| CVE-2022-23557 | 1 Google | 1 Tensorflow | 2022-02-09 | 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-2022-21741 | 1 Google | 1 Tensorflow | 2022-02-09 | 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-2022-21735 | 1 Google | 1 Tensorflow | 2022-02-09 | 4.0 MEDIUM | 6.5 MEDIUM |
| Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalMaxPool` can be made to crash a TensorFlow process via a division by 0. 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-2022-21725 | 1 Google | 1 Tensorflow | 2022-02-09 | 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-2021-46244 | 1 Hdfgroup | 1 Hdf5 | 2022-01-28 | 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-2021-20243 | 2 Debian, Imagemagick | 2 Debian Linux, Imagemagick | 2022-01-01 | 4.3 MEDIUM | 5.5 MEDIUM |
| A flaw was found in ImageMagick in MagickCore/resize.c. An attacker who submits a crafted file that is processed by ImageMagick could trigger undefined behavior in the form of math division by zero. The highest threat from this vulnerability is to system availability. | |||||
| CVE-2021-20245 | 4 Debian, Fedoraproject, Imagemagick and 1 more | 4 Debian Linux, Fedora, Imagemagick and 1 more | 2022-01-01 | 7.1 HIGH | 5.5 MEDIUM |
| A flaw was found in ImageMagick in coders/webp.c. An attacker who submits a crafted file that is processed by ImageMagick could trigger undefined behavior in the form of math division by zero. The highest threat from this vulnerability is to system availability. | |||||
| CVE-2020-23903 | 2 Fedoraproject, Xiph | 2 Fedora, Speex | 2021-12-15 | 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-2015-7513 | 4 Canonical, Debian, Fedoraproject and 1 more | 4 Ubuntu Linux, Debian Linux, Fedora and 1 more | 2021-12-10 | 4.9 MEDIUM | 6.5 MEDIUM |
| arch/x86/kvm/x86.c in the Linux kernel before 4.4 does not reset the PIT counter values during state restoration, which allows guest OS users to cause a denial of service (divide-by-zero error and host OS crash) via a zero value, related to the kvm_vm_ioctl_set_pit and kvm_vm_ioctl_set_pit2 functions. | |||||
| CVE-2020-20446 | 2 Debian, Ffmpeg | 2 Debian Linux, Ffmpeg | 2021-11-30 | 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-2020-20445 | 2 Debian, Ffmpeg | 2 Debian Linux, Ffmpeg | 2021-11-30 | 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. | |||||
| CVE-2020-20453 | 2 Debian, Ffmpeg | 2 Debian Linux, Ffmpeg | 2021-11-30 | 4.0 MEDIUM | 6.5 MEDIUM |
| FFmpeg 4.2 is affected by a Divide By Zero issue via libavcodec/aaccoder, which allows a remote malicious user to cause a Denial of Service | |||||
| CVE-2018-18521 | 5 Canonical, Debian, Elfutils Project and 2 more | 7 Ubuntu Linux, Debian Linux, Elfutils and 4 more | 2021-11-30 | 4.3 MEDIUM | 5.5 MEDIUM |
| Divide-by-zero vulnerabilities in the function arlib_add_symbols() in arlib.c in elfutils 0.174 allow remote attackers to cause a denial of service (application crash) with a crafted ELF file, as demonstrated by eu-ranlib, because a zero sh_entsize is mishandled. | |||||
| CVE-2019-15939 | 3 Debian, Opencv, Opensuse | 3 Debian Linux, Opencv, Leap | 2021-11-30 | 4.3 MEDIUM | 5.9 MEDIUM |
| An issue was discovered in OpenCV 4.1.0. There is a divide-by-zero error in cv::HOGDescriptor::getDescriptorSize in modules/objdetect/src/hog.cpp. | |||||
| CVE-2021-41218 | 1 Google | 1 Tensorflow | 2021-11-09 | 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-2021-41209 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 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 | 2021-11-09 | 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-2020-23567 | 1 Irfanview | 1 Irfanview | 2021-11-08 | 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-2021-36692 | 1 Libjxl Project | 1 Libjxl | 2021-09-07 | 4.3 MEDIUM | 6.5 MEDIUM |
| libjxl v0.3.7 is affected by a Divide By Zero in issue in lib/extras/codec_apng.cc jxl::DecodeImageAPNG(). When encoding a malicous APNG file using cjxl, an attacker can trigger a denial of service. | |||||
| CVE-2021-27845 | 1 Jasper Project | 1 Jasper | 2021-09-07 | 4.3 MEDIUM | 5.5 MEDIUM |
| A Divide-by-zero vulnerability exists in JasPer Image Coding Toolkit 2.0 in jasper/src/libjasper/jpc/jpc_enc.c | |||||
| CVE-2021-37668 | 1 Google | 1 Tensorflow | 2021-08-19 | 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-2021-37684 | 1 Google | 1 Tensorflow | 2021-08-18 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit [dfa22b348b70bb89d6d6ec0ff53973bacb4f4695](https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695). 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-2021-37683 | 1 Google | 1 Tensorflow | 2021-08-18 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is [vulnerable to a division by 0 error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/div.cc). There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. 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-2021-37691 | 1 Google | 1 Tensorflow | 2021-08-18 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118). We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit 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-2021-37675 | 1 Google | 1 Tensorflow | 2021-08-18 | 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-2021-37680 | 1 Google | 1 Tensorflow | 2021-08-18 | 2.1 LOW | 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-2021-37636 | 1 Google | 1 Tensorflow | 2021-08-18 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.SparseDenseCwiseDiv` is vulnerable to a division by 0 error. The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L56) uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit d9204be9f49520cdaaeb2541d1dc5187b23f31d9. 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 | 2021-08-18 | 2.1 LOW | 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. | |||||
| CVE-2021-37642 | 1 Google | 1 Tensorflow | 2021-08-18 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.ResourceScatterDiv` is vulnerable to a division by 0 error. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/resource_variable_ops.cc#L865) uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit 4aacb30888638da75023e6601149415b39763d76. 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. | |||||