Total
7966 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-34295 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The Gif_loader.dll library in affected applications lacks proper validation of user-supplied data when parsing GIF files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13024) | |||||
| CVE-2021-34323 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The Jt981.dll library in affected applications lacks proper validation of user-supplied data when parsing JT files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13419) | |||||
| CVE-2021-34331 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The Jt981.dll library in affected applications lacks proper validation of user-supplied data when parsing JT files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13442) | |||||
| CVE-2021-34311 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The Mono_loader.dll library in affected applications lacks proper validation of user-supplied data when parsing J2K files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13352) | |||||
| CVE-2021-34300 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The Tiff_loader.dll library in affected applications lacks proper validation of user-supplied data when parsing TIFF files. This could result in an out of bounds write past the end of an allocated buffer. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13194) | |||||
| CVE-2021-34309 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The Tiff_loader.dll library in affected applications lacks proper validation of user-supplied data when parsing TIFF files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13350) | |||||
| CVE-2021-34310 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The Tiff_loader.dll library in affected applications lacks proper validation of user-supplied data when parsing TIFF files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13351) | |||||
| CVE-2020-11633 | 1 Zscaler | 1 Client Connector | 2021-07-27 | 10.0 HIGH | 9.8 CRITICAL |
| The Zscaler Client Connector for Windows prior to 2.1.2.74 had a stack based buffer overflow when connecting to misconfigured TLS servers. An adversary would potentially have been able to execute arbitrary code with system privileges. | |||||
| CVE-2021-34291 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The Gif_loader.dll library in affected applications lacks proper validation of user-supplied data when parsing GIF files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-12956) | |||||
| CVE-2021-34293 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The Gif_loader.dll library in affected applications lacks proper validation of user-supplied data when parsing GIF files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13020) | |||||
| CVE-2021-34297 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The BMP_Loader.dll library in affected applications lacks proper validation of user-supplied data when parsing BMP files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13059) | |||||
| CVE-2021-34314 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The BMP_loader.dll library in affected applications lacks proper validation of user-supplied data when parsing SGI files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13355) | |||||
| CVE-2021-34319 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The BMP_loader.dll library in affected applications lacks proper validation of user-supplied data when parsing SGI files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13404) | |||||
| CVE-2021-34316 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2021-07-27 | 6.8 MEDIUM | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The DL180CoolType.dll library in affected applications lacks proper validation of user-supplied data when parsing PDF files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13380) | |||||
| CVE-2020-36431 | 1 Unicorn-engine | 1 Unicorn Engine | 2021-07-26 | 2.1 LOW | 5.5 MEDIUM |
| Unicorn Engine 1.0.2 has an out-of-bounds write in helper_wfe_arm. | |||||
| CVE-2021-29566 | 1 Google | 1 Tensorflow | 2021-07-26 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can write outside the bounds of heap allocated arrays by passing invalid arguments to `tf.raw_ops.Dilation2DBackpropInput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/afd954e65f15aea4d438d0a219136fc4a63a573d/tensorflow/core/kernels/dilation_ops.cc#L321-L322) does not validate before writing to the output array. The values for `h_out` and `w_out` are guaranteed to be in range for `out_backprop` (as they are loop indices bounded by the size of the array). However, there are no similar guarantees relating `h_in_max`/`w_in_max` and `in_backprop`. 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-2021-29571 | 1 Google | 1 Tensorflow | 2021-07-26 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/31bd5026304677faa8a0b77602c6154171b9aec1/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L116-L130) assumes that the last element of `boxes` input is 4, as required by [the op](https://www.tensorflow.org/api_docs/python/tf/raw_ops/DrawBoundingBoxesV2). Since this is not checked attackers passing values less than 4 can write outside of bounds of heap allocated objects and cause memory corruption. If the last dimension in `boxes` is less than 4, accesses similar to `tboxes(b, bb, 3)` will access data outside of bounds. Further during code execution there are also writes to these indices. 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-2021-29558 | 1 Google | 1 Tensorflow | 2021-07-26 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `tf.raw_ops.SparseSplit`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/699bff5d961f0abfde8fa3f876e6d241681fbef8/tensorflow/core/util/sparse/sparse_tensor.h#L528-L530) accesses an array element based on a user controlled offset. 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-2021-29537 | 1 Google | 1 Tensorflow | 2021-07-26 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. 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-2021-29540 | 1 Google | 1 Tensorflow | 2021-07-26 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow to occur in `Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L495-L497) computes the size of the filter tensor but does not validate that it matches the number of elements in `filter_sizes`. Later, when reading/writing to this buffer, code uses the value computed here, instead of the number of elements in the tensor. 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. | |||||