Total
7228 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2022-42254 | 5 Citrix, Linux, Nvidia and 2 more | 12 Hypervisor, Linux Kernel, Cloud Gaming and 9 more | 2024-11-21 | N/A | 5.3 MEDIUM |
| NVIDIA GPU Display Driver for Linux contains a vulnerability in the kernel mode layer (nvidia.ko), where an out-of-bounds array access may lead to denial of service, data tampering, or information disclosure. | |||||
| CVE-2022-41988 | 2 Debian, Openimageio | 2 Debian Linux, Openimageio | 2024-11-21 | N/A | 7.5 HIGH |
| An information disclosure vulnerability exists in the OpenImageIO::decode_iptc_iim() functionality of OpenImageIO Project OpenImageIO v2.3.19.0. A specially-crafted TIFF file can lead to a disclosure of sensitive information. An attacker can provide a malicious file to trigger this vulnerability. | |||||
| CVE-2022-41981 | 2 Debian, Openimageio | 2 Debian Linux, Openimageio | 2024-11-21 | N/A | 8.1 HIGH |
| A stack-based buffer overflow vulnerability exists in the TGA file format parser of OpenImageIO v2.3.19.0. A specially-crafted targa file can lead to out of bounds read and write on the process stack, which can lead to arbitrary code execution. An attacker can provide a malicious file to trigger this vulnerability. | |||||
| CVE-2022-41977 | 1 Openimageio | 1 Openimageio | 2024-11-21 | N/A | 3.3 LOW |
| An out of bounds read vulnerability exists in the way OpenImageIO version v2.3.19.0 processes string fields in TIFF image files. A specially-crafted TIFF file can lead to information disclosure. An attacker can provide a malicious file to trigger this vulnerability. | |||||
| CVE-2022-41910 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 4.8 MEDIUM |
| TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1. | |||||
| CVE-2022-41902 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 7.1 HIGH |
| TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1. | |||||
| CVE-2022-41900 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 7.1 HIGH |
| TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1. | |||||
| CVE-2022-41897 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 4.8 MEDIUM |
| TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. | |||||
| CVE-2022-41895 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 4.8 MEDIUM |
| TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. | |||||
| CVE-2022-41883 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 6.8 MEDIUM |
| TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. | |||||
| CVE-2022-41880 | 1 Google | 1 Tensorflow | 2024-11-21 | N/A | 6.8 MEDIUM |
| TensorFlow is an open source platform for machine learning. When the `BaseCandidateSamplerOp` function receives a value in `true_classes` larger than `range_max`, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. | |||||
| CVE-2022-41873 | 1 Contiki-ng | 1 Contiki-ng | 2024-11-21 | N/A | 4.2 MEDIUM |
| Contiki-NG is an open-source, cross-platform operating system for Next-Generation IoT devices. Versions prior to 4.9 are vulnerable to an Out-of-bounds read. While processing the L2CAP protocol, the Bluetooth Low Energy stack of Contiki-NG needs to map an incoming channel ID to its metadata structure. While looking up the corresponding channel structure in get_channel_for_cid (in os/net/mac/ble/ble-l2cap.c), a bounds check is performed on the incoming channel ID, which is meant to ensure that the channel ID does not exceed the maximum number of supported channels.However, an integer truncation issue leads to only the lowest byte of the channel ID to be checked, which leads to an incomplete out-of-bounds check. A crafted channel ID leads to out-of-bounds memory to be read and written with attacker-controlled data. The vulnerability has been patched in the "develop" branch of Contiki-NG, and will be included in release 4.9. As a workaround, Users can apply the patch in Contiki-NG pull request 2081 on GitHub. | |||||
| CVE-2022-41745 | 2 Microsoft, Trendmicro | 2 Windows, Apex One | 2024-11-21 | N/A | 7.0 HIGH |
| An Out-of-Bounds access vulnerability in Trend Micro Apex One could allow a local attacker to create a specially crafted message to cause memory corruption on a certain service process which could lead to local privilege escalation on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. | |||||
| CVE-2022-41686 | 2 Openatom, Openharmony | 2 Openharmony, Openharmony | 2024-11-21 | N/A | 5.1 MEDIUM |
| OpenHarmony-v3.1.2 and prior versions, 3.0.6 and prior versions have an Out-of-bound memory read and write vulnerability in /dev/mmz_userdev device driver. The impact depends on the privileges of the attacker. The unprivileged process run on the device could read out-of-bound memory leading sensitive to information disclosure. The processes with system user UID run on the device would be able to write out-of-bound memory which could lead to unspecified memory corruption. | |||||
| CVE-2022-41684 | 1 Openimageio | 1 Openimageio | 2024-11-21 | N/A | 5.5 MEDIUM |
| A heap out of bounds read vulnerability exists in the OpenImageIO master-branch-9aeece7a when parsing the image file directory part of a PSD image file. A specially-crafted .psd file can cause a read of arbitrary memory address which can lead to denial of service. An attacker can provide a malicious file to trigger this vulnerability. | |||||
| CVE-2022-41662 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2024-11-21 | N/A | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V14.1.0.4), Teamcenter Visualization V13.2 (All versions < V13.2.0.12), Teamcenter Visualization V13.3 (All versions < V13.3.0.7), Teamcenter Visualization V14.0 (All versions < V14.0.0.3), Teamcenter Visualization V14.1 (All versions < V14.1.0.4). The affected products contain an out of bounds read vulnerability when parsing a CGM file. An attacker can leverage this vulnerability to execute code in the context of the current process. | |||||
| CVE-2022-41661 | 1 Siemens | 2 Jt2go, Teamcenter Visualization | 2024-11-21 | N/A | 7.8 HIGH |
| A vulnerability has been identified in JT2Go (All versions < V14.1.0.4), Teamcenter Visualization V13.2 (All versions < V13.2.0.12), Teamcenter Visualization V13.3 (All versions < V13.3.0.7), Teamcenter Visualization V14.0 (All versions < V14.0.0.3), Teamcenter Visualization V14.1 (All versions < V14.1.0.4). The affected products contain an out of bounds read vulnerability when parsing a CGM file. An attacker can leverage this vulnerability to execute code in the context of the current process. | |||||
| CVE-2022-41649 | 2 Debian, Openimageio | 2 Debian Linux, Openimageio | 2024-11-21 | N/A | 9.1 CRITICAL |
| A heap out of bounds read vulnerability exists in the handling of IPTC data while parsing TIFF images in OpenImageIO v2.3.19.0. A specially-crafted TIFF file can cause a read of adjacent heap memory, which can leak sensitive process information. An attacker can provide a malicious file to trigger this vulnerability. | |||||
| CVE-2022-41603 | 1 Huawei | 2 Emui, Harmonyos | 2024-11-21 | N/A | 3.4 LOW |
| The phones have the heap overflow, out-of-bounds read, and null pointer vulnerabilities in the fingerprint trusted application (TA).Successful exploitation of this vulnerability may affect the fingerprint service. | |||||
| CVE-2022-41602 | 1 Huawei | 2 Emui, Harmonyos | 2024-11-21 | N/A | 3.4 LOW |
| The phones have the heap overflow, out-of-bounds read, and null pointer vulnerabilities in the fingerprint trusted application (TA).Successful exploitation of this vulnerability may affect the fingerprint service. | |||||