| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Use after free in Incognito in Google Chrome prior to 95.0.4638.54 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. |
| Use after free in Garbage Collection in Google Chrome prior to 94.0.4606.81 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. |
| Use after free in Safebrowsing in Google Chrome prior to 94.0.4606.71 allowed a remote attacker who had compromised the renderer process to potentially exploit heap corruption via a crafted HTML page. |
| Use after free in File System API in Google Chrome prior to 94.0.4606.54 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. |
| Use after free in Performance Manager in Google Chrome prior to 94.0.4606.54 allowed a remote attacker who had compromised the renderer process to potentially exploit heap corruption via a crafted HTML page. |
| Use after free in Tab Strip in Google Chrome prior to 94.0.4606.54 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. |
| Use after free in Task Manager in Google Chrome prior to 94.0.4606.54 allowed an attacker who convinced a user to enage in a series of user gestures to potentially exploit heap corruption via a crafted HTML page. |
| Use after free in WebGPU in Google Chrome prior to 94.0.4606.54 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. |
| Use after free in Offline use in Google Chrome on Android prior to 94.0.4606.54 allowed a remote attacker who had compromised the renderer process to potentially exploit heap corruption via a crafted HTML page. |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions (such as `MutableHashTableShape`) produce extra output information in the form of a `ShapeAndType` struct. The shapes embedded in this struct are owned by an inference context that is cleaned up almost immediately; if the upstream code attempts to access this shape information, it can trigger a segfault. `ShapeRefiner` is mitigating this for normal output shapes by cloning them (and thus putting the newly created shape under ownership of an inference context that will not die), but we were not doing the same for shapes and types. This commit fixes that by doing similar logic on output shapes and types. We have patched the issue in GitHub commit ee119d4a498979525046fba1c3dd3f13a039fbb1. 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. |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.BoostedTreesCreateEnsemble` can result in a use after free error if an attacker supplies specially crafted arguments. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/boosted_trees/resource_ops.cc#L55) uses a reference counted resource and decrements the refcount if the initialization fails, as it should. However, when the code was written, the resource was represented as a naked pointer but later refactoring has changed it to be a smart pointer. Thus, when the pointer leaves the scope, a subsequent `free`-ing of the resource occurs, but this fails to take into account that the refcount has already reached 0, thus the resource has been already freed. During this double-free process, members of the resource object are accessed for cleanup but they are invalid as the entire resource has been freed. We have patched the issue in GitHub commit 5ecec9c6fbdbc6be03295685190a45e7eee726ab. 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. |
| A double-free vulnerability exists in fig2dev through 3.28a is affected by: via the free_stream function in readpics.c, which could cause a denial of service (context-dependent). |
| GCC c++filt v2.26 was discovered to contain a use-after-free vulnerability via the component cplus-dem.c. |
| A vulnerability has been identified in NX 1980 Series (All versions < V1984), Solid Edge SE2021 (All versions < SE2021MP8). The IFC adapter in affected application contains a use-after-free vulnerability that could be triggered while parsing user-supplied IFC files. An attacker could leverage this vulnerability to execute code in the context of the current process. |
| A vulnerability has been identified in Solid Edge SE2021 (All Versions < SE2021MP7). The PSKERNEL.dll library in affected application lacks proper validation while parsing user-supplied OBJ files that could lead to a use-after-free condition. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13777) |
| hso_free_net_device in drivers/net/usb/hso.c in the Linux kernel through 5.13.4 calls unregister_netdev without checking for the NETREG_REGISTERED state, leading to a use-after-free and a double free. |
| There is a use-after-free (UAF) vulnerability in Huawei products. An attacker may craft specific packets to exploit this vulnerability. Successful exploitation may cause the service abnormal. Affected product versions include:CloudEngine 12800 V200R005C10SPC800,V200R019C00SPC800;CloudEngine 5800 V200R005C10SPC800,V200R019C00SPC800;CloudEngine 6800 V200R005C10SPC800,V200R005C20SPC800,V200R019C00SPC800;CloudEngine 7800 V200R005C10SPC800,V200R019C00SPC800. |
| There is a Double free vulnerability in Smartphone.Successful exploitation of this vulnerability may cause a kernel crash or privilege escalation. |
| There is a Incorrect Calculation of Buffer Size vulnerability in Huawei Smartphone.Successful exploitation of this vulnerability may lead to memory crash. |
| There is an UAF vulnerability in Huawei Smartphone.Successful exploitation of this vulnerability may cause the device to restart unexpectedly and the kernel-mode code to be executed. |
