Total
13113 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-32490 | 2 Debian, Djvulibre Project | 2 Debian Linux, Djvulibre | 2024-11-21 | 6.8 MEDIUM | 7.8 HIGH |
| A flaw was found in djvulibre-3.5.28 and earlier. An out of bounds write in function DJVU::filter_bv() via crafted djvu file may lead to application crash and other consequences. | |||||
| CVE-2021-32020 | 1 Amazon | 1 Freertos | 2024-11-21 | 7.5 HIGH | 9.8 CRITICAL |
| The kernel in Amazon Web Services FreeRTOS before 10.4.3 has insufficient bounds checking during management of heap memory. | |||||
| CVE-2021-31977 | 1 Microsoft | 3 Windows 10, Windows Server 2016, Windows Server 2019 | 2024-11-21 | 5.0 MEDIUM | 8.6 HIGH |
| Windows Hyper-V Denial of Service Vulnerability | |||||
| CVE-2021-31883 | 1 Siemens | 16 Apogee Modular Building Controller, Apogee Modular Building Controller Firmware, Apogee Modular Equiment Controller and 13 more | 2024-11-21 | 5.0 MEDIUM | 7.1 HIGH |
| A vulnerability has been identified in Capital Embedded AR Classic 431-422 (All versions), Capital Embedded AR Classic R20-11 (All versions < V2303). When processing a DHCP ACK message, the DHCP client application does not validate the length of the Vendor option(s), leading to Denial-of-Service conditions. (FSMD-2021-0013) | |||||
| CVE-2021-31882 | 1 Siemens | 16 Apogee Modular Building Controller, Apogee Modular Building Controller Firmware, Apogee Modular Equiment Controller and 13 more | 2024-11-21 | 5.0 MEDIUM | 6.5 MEDIUM |
| A vulnerability has been identified in Capital Embedded AR Classic 431-422 (All versions), Capital Embedded AR Classic R20-11 (All versions < V2303). The DHCP client application does not validate the length of the Domain Name Server IP option(s) (0x06) when processing DHCP ACK packets. This may lead to Denial-of-Service conditions. (FSMD-2021-0011) | |||||
| CVE-2021-31617 | 1 Stormshield | 1 Stormshield Network Security | 2024-11-21 | 7.5 HIGH | 9.8 CRITICAL |
| In ASQ in Stormshield Network Security (SNS) 1.0.0 through 2.7.8, 2.8.0 through 2.16.0, 3.0.0 through 3.7.20, 3.8.0 through 3.11.8, and 4.0.1 through 4.2.2, mishandling of memory management can lead to remote code execution. | |||||
| CVE-2021-31495 | 1 Opentext | 1 Brava\! Desktop | 2024-11-21 | 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 DXF files. The issue results from the lack of proper validation of user-supplied data, which can result in a memory corruption condition. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-13307. | |||||
| CVE-2021-31493 | 1 Opentext | 1 Brava\! Desktop | 2024-11-21 | 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 DXF files. The issue results from the lack of proper validation of user-supplied data, which can result in a memory corruption condition. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-13304. | |||||
| CVE-2021-31472 | 2 Foxitsoftware, Microsoft | 2 3d, Windows | 2024-11-21 | 6.8 MEDIUM | 7.8 HIGH |
| This vulnerability allows remote attackers to execute arbitrary code on affected installations of Foxit Reader 10.1.1.37576. 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 handling of U3D objects in PDF files. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated data structure. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-13011. | |||||
| CVE-2021-31261 | 1 Gpac | 1 Gpac | 2024-11-21 | 4.3 MEDIUM | 5.5 MEDIUM |
| The gf_hinter_track_new function in GPAC 1.0.1 allows attackers to read memory via a crafted file in the MP4Box command. | |||||
| CVE-2021-30530 | 2 Fedoraproject, Google | 2 Fedora, Chrome | 2024-11-21 | 6.8 MEDIUM | 8.8 HIGH |
| Out of bounds memory access in WebAudio in Google Chrome prior to 91.0.4472.77 allowed a remote attacker to perform out of bounds memory access via a crafted HTML page. | |||||
| CVE-2021-30472 | 1 Podofo Project | 1 Podofo | 2024-11-21 | 6.8 MEDIUM | 7.8 HIGH |
| A flaw was found in PoDoFo 0.9.7. A stack-based buffer overflow in PdfEncryptMD5Base::ComputeOwnerKey function in PdfEncrypt.cpp is possible because of a improper check of the keyLength value. | |||||
| CVE-2021-30454 | 1 Outer Cgi Project | 1 Outer Cgi | 2024-11-21 | 7.5 HIGH | 9.8 CRITICAL |
| An issue was discovered in the outer_cgi crate before 0.2.1 for Rust. A user-provided Read instance receives an uninitialized memory buffer from KeyValueReader. | |||||
| CVE-2021-30316 | 1 Qualcomm | 154 Ar8031, Ar8031 Firmware, Csra6620 and 151 more | 2024-11-21 | 7.2 HIGH | 8.4 HIGH |
| Possible out of bound memory access due to improper boundary check while creating HSYNC fence in Snapdragon Auto, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wearables | |||||
| CVE-2021-30289 | 1 Qualcomm | 206 Apq8009w, Apq8009w Firmware, Apq8017 and 203 more | 2024-11-21 | 7.2 HIGH | 7.8 HIGH |
| Possible buffer overflow due to lack of range check while processing a DIAG command for COEX management in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables | |||||
| CVE-2021-29579 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.6 MEDIUM | 2.5 LOW |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/ab1e644b48c82cb71493f4362b4dd38f4577a1cf/tensorflow/core/kernels/maxpooling_op.cc#L194-L203) fails to validate that indices used to access elements of input/output arrays are valid. Whereas accesses to `input_backprop_flat` are guarded by `FastBoundsCheck`, the indexing in `out_backprop_flat` can result in OOB access. 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-2021-29578 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.6 MEDIUM | 2.5 LOW |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.FractionalAvgPoolGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/dcba796a28364d6d7f003f6fe733d82726dda713/tensorflow/core/kernels/fractional_avg_pool_op.cc#L216) fails to validate that the pooling sequence arguments have enough elements as required by the `out_backprop` tensor shape. 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-2021-29577 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.6 MEDIUM | 2.5 LOW |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.AvgPool3DGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/d80ffba9702dc19d1fac74fc4b766b3fa1ee976b/tensorflow/core/kernels/pooling_ops_3d.cc#L376-L450) assumes that the `orig_input_shape` and `grad` tensors have similar first and last dimensions but does not check that this assumption is validated. 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-2021-29576 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.6 MEDIUM | 2.5 LOW |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPool3DGradGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L694-L696) does not check that the initialization of `Pool3dParameters` completes successfully. Since the constructor(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L48-L88) uses `OP_REQUIRES` to validate conditions, the first assertion that fails interrupts the initialization of `params`, making it contain invalid data. In turn, this might cause a heap buffer overflow, depending on default initialized values. 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-2021-29575 | 1 Google | 1 Tensorflow | 2024-11-21 | 2.1 LOW | 2.5 LOW |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.ReverseSequence` allows for stack overflow and/or `CHECK`-fail based denial of service. The implementation(https://github.com/tensorflow/tensorflow/blob/5b3b071975e01f0d250c928b2a8f901cd53b90a7/tensorflow/core/kernels/reverse_sequence_op.cc#L114-L118) fails to validate that `seq_dim` and `batch_dim` arguments are valid. Negative values for `seq_dim` can result in stack overflow or `CHECK`-failure, depending on the version of Eigen code used to implement the operation. Similar behavior can be exhibited by invalid values of `batch_dim`. 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. | |||||