Total
201 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-3593 | 4 Debian, Fedoraproject, Libslirp Project and 1 more | 4 Debian Linux, Fedora, Libslirp and 1 more | 2023-12-10 | 2.1 LOW | 3.8 LOW |
| An invalid pointer initialization issue was found in the SLiRP networking implementation of QEMU. The flaw exists in the udp6_input() function and could occur while processing a udp packet that is smaller than the size of the 'udphdr' structure. This issue may lead to out-of-bounds read access or indirect host memory disclosure to the guest. The highest threat from this vulnerability is to data confidentiality. This flaw affects libslirp versions prior to 4.6.0. | |||||
| CVE-2021-37676 | 1 Google | 1 Tensorflow | 2023-12-10 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.SparseFillEmptyRows`. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/sparse_ops.cc#L608-L634) does not validate that the input arguments are not empty tensors. We have patched the issue in GitHub commit 578e634b4f1c1c684d4b4294f9e5281b2133b3ed. 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-2021-34280 | 1 Polarisoffice | 1 Polaris Office | 2023-12-10 | 6.8 MEDIUM | 7.8 HIGH |
| Polaris Office v9.103.83.44230 is affected by a Uninitialized Pointer Vulnerability in PolarisOffice.exe and EngineDLL.dll that may cause a Remote Code Execution. To exploit the vulnerability, someone must open a crafted PDF file. | |||||
| CVE-2021-31503 | 1 Opentext | 1 Brava\! Desktop | 2023-12-10 | 6.8 MEDIUM | 7.8 HIGH |
| This vulnerability allows remote attackers to execute arbitrary code on affected installations of OpenText Brava! Desktop Build 16.6.3.84 (package 16.6.3.134). User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of IGS files. The issue results from the lack of proper initialization of a pointer prior to accessing it. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-12690. | |||||
| CVE-2021-37671 | 1 Google | 1 Tensorflow | 2023-12-10 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.Map*` and `tf.raw_ops.OrderedMap*` operations. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/map_stage_op.cc#L222-L248) has a check in place to ensure that `indices` is in ascending order, but does not check that `indices` is not empty. We have patched the issue in GitHub commit 532f5c5a547126c634fefd43bbad1dc6417678ac. 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-2021-22758 | 1 Schneider-electric | 1 Interactive Graphical Scada System | 2023-12-10 | 6.8 MEDIUM | 7.8 HIGH |
| A CWE-824: Access of uninitialized pointer vulnerability exists inIGSS Definition (Def.exe) V15.0.0.21140 and prior that could result in loss of data or remote code execution due to lack validation of user-supplied input data, when a malicious CGF file is imported to IGSS Definition. | |||||
| CVE-2021-37667 | 1 Google | 1 Tensorflow | 2023-12-10 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.UnicodeEncode`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unicode_ops.cc#L533-L539) reads the first dimension of the `input_splits` tensor before validating that this tensor is not empty. We have patched the issue in GitHub commit 2e0ee46f1a47675152d3d865797a18358881d7a6. 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-2021-37180 | 1 Siemens | 2 Solid Edge Se2021, Solid Edge Se2021 Firmware | 2023-12-10 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in Solid Edge SE2021 (All Versions < SE2021MP7). The PSKERNEL.dll library lacks proper validation while parsing user-supplied OBJ files that could cause an out of bounds access to an uninitialized pointer. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13775) | |||||
| CVE-2021-32931 | 1 Fatek | 1 Fvdesigner | 2023-12-10 | 6.8 MEDIUM | 7.8 HIGH |
| An uninitialized pointer in FATEK Automation FvDesigner, Versions 1.5.88 and prior may be exploited while the application is processing project files, allowing an attacker to craft a special project file that may permit arbitrary code execution. | |||||
| CVE-2021-33542 | 1 Phoenixcontact | 3 Config\+, Pc Worx, Pc Worx Express | 2023-12-10 | 5.1 MEDIUM | 7.0 HIGH |
| Phoenix Contact Classic Automation Worx Software Suite in Version 1.87 and below is affected by a remote code execution vulnerability. Manipulated PC Worx or Config+ projects could lead to a remote code execution when unallocated memory is freed because of incompletely initialized data. The attacker needs to get access to an original bus configuration file (*.bcp) to be able to manipulate data inside. After manipulation the attacker needs to exchange the original file by the manipulated one on the application programming workstation. Availability, integrity, or confidentiality of an application programming workstation might be compromised by attacks using these vulnerabilities. Automated systems in operation which were programmed with one of the above-mentioned products are not affected. | |||||
| CVE-2021-31479 | 1 Opentext | 1 Brava\! Desktop | 2023-12-10 | 6.8 MEDIUM | 7.8 HIGH |
| This vulnerability allows remote attackers to execute arbitrary code on affected installations of OpenText Brava! Desktop 16.6.3.84. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of PDF files. The issue results from the lack of proper initialization of a pointer prior to accessing it. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-12634. | |||||
| CVE-2021-37657 | 1 Google | 1 Tensorflow | 2023-12-10 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type `tf.raw_ops.MatrixDiagV*`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/linalg/matrix_diag_op.cc) has incomplete validation that the value of `k` is a valid tensor. We have check that this value is either a scalar or a vector, but there is no check for the number of elements. If this is an empty tensor, then code that accesses the first element of the tensor is wrong. We have patched the issue in GitHub commit f2a673bd34f0d64b8e40a551ac78989d16daad09. 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-2021-37658 | 1 Google | 1 Tensorflow | 2023-12-10 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type `tf.raw_ops.MatrixSetDiagV*`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/linalg/matrix_diag_op.cc) has incomplete validation that the value of `k` is a valid tensor. We have check that this value is either a scalar or a vector, but there is no check for the number of elements. If this is an empty tensor, then code that accesses the first element of the tensor is wrong. We have patched the issue in GitHub commit ff8894044dfae5568ecbf2ed514c1a37dc394f1b. 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-2021-3594 | 4 Debian, Fedoraproject, Libslirp Project and 1 more | 4 Debian Linux, Fedora, Libslirp and 1 more | 2023-12-10 | 2.1 LOW | 3.8 LOW |
| An invalid pointer initialization issue was found in the SLiRP networking implementation of QEMU. The flaw exists in the udp_input() function and could occur while processing a udp packet that is smaller than the size of the 'udphdr' structure. This issue may lead to out-of-bounds read access or indirect host memory disclosure to the guest. The highest threat from this vulnerability is to data confidentiality. This flaw affects libslirp versions prior to 4.6.0. | |||||
| CVE-2021-37656 | 1 Google | 1 Tensorflow | 2023-12-10 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.RaggedTensorToSparse`. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/ragged_tensor_to_sparse_kernel.cc#L30) has an incomplete validation of the splits values: it does not check that they are in increasing order. We have patched the issue in GitHub commit 1071f554dbd09f7e101324d366eec5f4fe5a3ece. 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-2021-3592 | 4 Debian, Fedoraproject, Libslirp Project and 1 more | 4 Debian Linux, Fedora, Libslirp and 1 more | 2023-12-10 | 2.1 LOW | 3.8 LOW |
| An invalid pointer initialization issue was found in the SLiRP networking implementation of QEMU. The flaw exists in the bootp_input() function and could occur while processing a udp packet that is smaller than the size of the 'bootp_t' structure. A malicious guest could use this flaw to leak 10 bytes of uninitialized heap memory from the host. The highest threat from this vulnerability is to data confidentiality. This flaw affects libslirp versions prior to 4.6.0. | |||||
| CVE-2021-37662 | 1 Google | 1 Tensorflow | 2023-12-10 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can generate undefined behavior via a reference binding to nullptr in `BoostedTreesCalculateBestGainsPerFeature` and similar attack can occur in `BoostedTreesCalculateBestFeatureSplitV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) does not validate the input values. We have patched the issue in GitHub commit 9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad and in commit 429f009d2b2c09028647dd4bb7b3f6f414bbaad7. 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-2021-37666 | 1 Google | 1 Tensorflow | 2023-12-10 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.RaggedTensorToVariant`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/ragged_tensor_to_variant_op.cc#L129) has an incomplete validation of the splits values, missing the case when the argument would be empty. We have patched the issue in GitHub commit be7a4de6adfbd303ce08be4332554dff70362612. 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-2021-35991 | 2 Adobe, Microsoft | 2 Bridge, Windows | 2023-12-10 | 4.3 MEDIUM | 3.3 LOW |
| Adobe Bridge version 11.0.2 (and earlier) is affected by an Access of Uninitialized Pointer vulnerability when parsing a specially crafted file. An unauthenticated attacker could leverage this vulnerability to disclose arbitrary memory information in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file. | |||||
| CVE-2021-29098 | 1 Esri | 4 Arcgis, Arcgis Desktop, Arcgis Pro and 1 more | 2023-12-10 | 6.8 MEDIUM | 7.8 HIGH |
| Multiple uninitialized pointer vulnerabilities when parsing a specially crafted file in Esri ArcReader, ArcGIS Desktop, ArcGIS Engine 10.8.1 (and earlier) and ArcGIS Pro 2.7 (and earlier) allow an unauthenticated attacker to achieve arbitrary code execution in the context of the current user. | |||||