Total
135 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2022-22166 | 1 Juniper | 1 Junos | 2024-02-28 | 3.3 LOW | 6.5 MEDIUM |
| An Improper Validation of Specified Quantity in Input vulnerability in the routing protocol daemon (rpd) of Juniper Networks Junos OS allows an unauthenticated networked attacker to cause an rdp crash and thereby a Denial of Service (DoS). If a BGP update message is received over an established BGP session where a BGP SR-TE policy tunnel attribute is malformed and BGP update tracing flag is enabled, the rpd will core. This issue can happen with any BGP session as long as the previous conditions are met. This issue can not propagate as the crash occurs as soon as the malformed update is received. This issue affects Juniper Networks Junos OS: 20.4 versions prior to 20.4R3-S1; 21.1 versions prior to 21.1R2-S2, 21.1R3. This issue does not affect Juniper Networks Junos OS versions prior to 20.4R1. | |||||
| CVE-2022-21668 | 2 Fedoraproject, Pypa | 2 Fedora, Pipenv | 2024-02-28 | 9.3 HIGH | 8.6 HIGH |
| pipenv is a Python development workflow tool. Starting with version 2018.10.9 and prior to version 2022.1.8, a flaw in pipenv's parsing of requirements files allows an attacker to insert a specially crafted string inside a comment anywhere within a requirements.txt file, which will cause victims who use pipenv to install the requirements file to download dependencies from a package index server controlled by the attacker. By embedding malicious code in packages served from their malicious index server, the attacker can trigger arbitrary remote code execution (RCE) on the victims' systems. If an attacker is able to hide a malicious `--index-url` option in a requirements file that a victim installs with pipenv, the attacker can embed arbitrary malicious code in packages served from their malicious index server that will be executed on the victim's host during installation (remote code execution/RCE). When pip installs from a source distribution, any code in the setup.py is executed by the install process. This issue is patched in version 2022.1.8. The GitHub Security Advisory contains more information about this vulnerability. | |||||
| CVE-2021-45462 | 1 Open5gs | 1 Open5gs | 2024-02-28 | 5.0 MEDIUM | 7.5 HIGH |
| In Open5GS 2.4.0, a crafted packet from UE can crash SGW-U/UPF. | |||||
| CVE-2021-45972 | 2 Debian, Giftrans Project | 2 Debian Linux, Giftrans | 2024-02-28 | 5.8 MEDIUM | 7.1 HIGH |
| The giftrans function in giftrans 1.12.2 contains a stack-based buffer overflow because a value inside the input file determines the amount of data to write. This allows an attacker to overwrite up to 250 bytes outside of the allocated buffer with arbitrary data. | |||||
| CVE-2021-21950 | 1 Anker | 2 Eufy Homebase 2, Eufy Homebase 2 Firmware | 2024-02-28 | 10.0 HIGH | 10.0 CRITICAL |
| An out-of-bounds write vulnerability exists in the CMD_DEVICE_GET_SERVER_LIST_REQUEST functionality of the home_security binary of Anker Eufy Homebase 2 2.1.6.9h in function recv_server_device_response_msg_process. A specially-crafted network packet can lead to code execution. | |||||
| CVE-2021-44158 | 1 Asus | 2 Rt-ax56u, Rt-ax56u Firmware | 2024-02-28 | 7.7 HIGH | 8.0 HIGH |
| ASUS RT-AX56U Wi-Fi Router is vulnerable to stack-based buffer overflow due to improper validation for httpd parameter length. An authenticated local area network attacker can launch arbitrary code execution to control the system or disrupt service. | |||||
| CVE-2021-21951 | 1 Anker | 2 Eufy Homebase 2, Eufy Homebase 2 Firmware | 2024-02-28 | 10.0 HIGH | 10.0 CRITICAL |
| An out-of-bounds write vulnerability exists in the CMD_DEVICE_GET_SERVER_LIST_REQUEST functionality of the home_security binary of Anker Eufy Homebase 2 2.1.6.9h in function read_udp_push_config_file. A specially-crafted network packet can lead to code execution. | |||||
| CVE-2021-21960 | 1 Sealevel | 2 Seaconnect 370w, Seaconnect 370w Firmware | 2024-02-28 | 7.5 HIGH | 10.0 CRITICAL |
| A stack-based buffer overflow vulnerability exists in both the LLMNR functionality of Sealevel Systems, Inc. SeaConnect 370W v1.3.34. A specially-crafted network packet can lead to remote code execution. An attacker can send a malicious packet to trigger this vulnerability. | |||||
| CVE-2021-1083 | 6 Citrix, Linux, Microsoft and 3 more | 6 Hypervisor, Linux Kernel, Windows and 3 more | 2024-02-28 | 4.6 MEDIUM | 7.8 HIGH |
| NVIDIA vGPU software contains a vulnerability in the guest kernel mode driver and Virtual GPU Manager (vGPU plugin), in which an input length is not validated, which may lead to information disclosure, tampering of data, or denial of service. This affects vGPU version 12.x (prior to 12.2) and version 11.x (prior to 11.4). | |||||
| CVE-2021-37674 | 1 Google | 1 Tensorflow | 2024-02-28 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. 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-2021-1081 | 7 Citrix, Linux, Microsoft and 4 more | 7 Hypervisor, Linux Kernel, Windows and 4 more | 2024-02-28 | 4.6 MEDIUM | 7.8 HIGH |
| NVIDIA vGPU software contains a vulnerability in the guest kernel mode driver and Virtual GPU manager (vGPU plugin), in which an input length is not validated, which may lead to information disclosure, tampering of data, or denial of service. This affects vGPU version 12.x (prior to 12.2), version 11.x (prior to 11.4) and version 8.x (prior 8.7). | |||||
| CVE-2021-1082 | 5 Citrix, Nutanix, Nvidia and 2 more | 5 Hypervisor, Ahv, Virtual Gpu Manager and 2 more | 2024-02-28 | 4.6 MEDIUM | 7.8 HIGH |
| NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager (vGPU plugin), in which an input length is not validated, which may lead to information disclosure, tampering of data, or denial of service. vGPU version 12.x (prior to 12.2), version 11.x (prior to 11.4) and version 8.x (prior to 8.7) | |||||
| CVE-2021-39193 | 1 Parity | 1 Frontier | 2024-02-28 | 5.0 MEDIUM | 5.3 MEDIUM |
| Frontier is Substrate's Ethereum compatibility layer. Prior to commit number 0b962f218f0cdd796dadfe26c3f09e68f7861b26, a bug in `pallet-ethereum` can cause invalid transactions to be included in the Ethereum block state in `pallet-ethereum` due to not validating the input data size. Any invalid transactions included this way have no possibility to alter the internal Ethereum or Substrate state. The transaction will appear to have be included, but is of no effect as it is rejected by the EVM engine. The impact is further limited by Substrate extrinsic size constraints. A patch is available in commit number 0b962f218f0cdd796dadfe26c3f09e68f7861b26. There are no workarounds aside from applying the patch. | |||||
| CVE-2021-31556 | 2 Fedoraproject, Mediawiki | 2 Fedora, Mediawiki | 2024-02-28 | 7.5 HIGH | 9.8 CRITICAL |
| An issue was discovered in the Oauth extension for MediaWiki through 1.35.2. MWOAuthConsumerSubmitControl.php does not ensure that the length of an RSA key will fit in a MySQL blob. | |||||
| CVE-2021-37677 | 1 Google | 1 Tensorflow | 2024-02-28 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. 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. | |||||