| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A heap corruption in WhatsApp can be caused by a malformed RTP packet being sent after a call is established. The vulnerability can be used to cause denial of service. It affects WhatsApp for Android prior to v2.18.293, WhatsApp for iOS prior to v2.18.93, and WhatsApp for Windows Phone prior to v2.18.172. |
| OpenH264 is a free license codec library which supports H.264 encoding and decoding. A vulnerability in the decoding functions of OpenH264 codec library could allow a remote, unauthenticated attacker to trigger a heap overflow. This vulnerability is due to a race condition between a Sequence Parameter Set (SPS) memory allocation and a subsequent non Instantaneous Decoder Refresh (non-IDR) Network Abstraction Layer (NAL) unit memory usage. An attacker could exploit this vulnerability by crafting a malicious bitstream and tricking a victim user into processing an arbitrary video containing the malicious bistream. An exploit could allow the attacker to cause an unexpected crash in the victim's user decoding client and, possibly, perform arbitrary commands on the victim's host by abusing the heap overflow. This vulnerability affects OpenH264 2.5.0 and earlier releases. Both Scalable Video Coding (SVC) mode and Advanced Video Coding (AVC) mode are affected by this vulnerability. OpenH264 software releases 2.6.0 and later contained the fix for this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability.
### For more information
If you have any questions or comments about this advisory:
* [Open an issue in cisco/openh264](https://github.com/cisco/openh264/issues)
* Email Cisco Open Source Security ([oss-security@cisco.com](mailto:oss-security@cisco.com)) and Cisco PSIRT ([psirt@cisco.com](mailto:psirt@cisco.com))
### Credits:
* **Research:** Octavian Guzu and Andrew Calvano of Meta
* **Fix ideation:** Philipp Hancke and Shyam Sadhwani of Meta
* **Fix implementation:** Benzheng Zhang (@BenzhengZhang)
* **Release engineering:** Benzheng Zhang (@BenzhengZhang) |
|
The application was identified to have an CSV injection in data export functionality, allowing for malicious code to be embedded within export data and then triggered in exported data viewers.
|
| In SecurityCommand message after as security has been actived., there is a possible improper input validation. This could lead to remote information disclosure no additional execution privileges needed |
| In modem driver, there is a possible system crash due to improper input validation. This could lead to local information disclosure with System execution privileges needed |
| A Stored Cross-Site Scripting (XSS) vulnerability was found in /admin/add_subject.php in KASHIPARA E-learning Management System Project 1.0. This vulnerability allows remote attackers to execute arbitrary scripts via the subject_code and title parameters. |
| A Stored Cross-Site Scripting (XSS) vulnerability was found in /admin/class.php in KASHIPARA E-learning Management System Project 1.0. This vulnerability allows remote attackers to execute arbitrary scripts via the class_name parameter. |
| A Stored Cross-Site Scripting (XSS) vulnerability was found in /admin/department.php in KASHIPARA E-learning Management System Project 1.0. This vulnerability allows remote attackers to execute arbitrary scripts via the d and pi parameters. |
| An out-of-bounds read vulnerability in WLAvalancheService component of Ivanti Avalanche before 6.4.3, in certain conditions can allow an unauthenticated remote attacker to read sensitive information in memory. |
| Gifdec commit 1dcbae19363597314f6623010cc80abad4e47f7c was discovered to contain an out-of-bounds read in the function read_image_data. This vulnerability is triggered when parsing a crafted Gif file. |
| A vulnerability in bmcweb of OpenBMC Project allows user to cause denial of service. This vulnerability was identified during mitigation for CVE-2022-2809. When fuzzing the multipart_parser code using AFL++ with address sanitizer enabled to find smallest memory corruptions possible. It detected problem in how multipart_parser handles unclosed http headers. If long enough http header is passed in the multipart form without colon there is one byte overwrite on heap. It can be conducted multiple times in a loop to cause DoS. |
| A global-buffer-overflow vulnerability was found in SWFTools v0.9.2, in the function LineText at lib/swf5compiler.flex. |
| libmodbus v3.1.10 has a heap-based buffer overflow vulnerability in read_io_status function in src/modbus.c. |
| An issue in Cesanta mjs 2.20.0 allows a remote attacker to cause a denial of service via the mjs_mk_ffi_sig function in the mjs.c file. |
| Observable behavioral in power management throttling for some Intel(R) Processors may allow an authenticated user to potentially enable information disclosure via network access. |
| Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
| Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
| Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
| Out of bounds read for some Intel(R) PROSet/Wireless WiFi products may allow a privileged user to potentially enable information disclosure via local access. |
| Out-of-bounds read in the Intel(R) Trace Analyzer and Collector before version 2021.5 may allow an authenticated user to potentially enable information disclosure via local access. |
