BoofCV 0.42 was discovered to contain a code injection vulnerability via the component boofcv.io.calibration.CalibrationIO.load. This vulnerability is exploited by loading a crafted camera calibration file.

The issue was addressed with improved checks. This issue is fixed in macOS Monterey 12.6.8, macOS Ventura 13.5, macOS Big Sur 11.7.9. Processing a file may lead to unexpected app termination or arbitrary code execution.

The SolarWinds Platform was susceptible to the Incorrect Input Neutralization Vulnerability. This vulnerability allows a remote adversary with a valid SolarWinds Platform account to append URL parameters to inject passive HTML.

This High severity Injection and RCE (Remote Code Execution) vulnerability known as CVE-2023-22506 was introduced in version 8.0.0 of Bamboo Data Center.   This Injection and RCE (Remote Code Execution) vulnerability, with a CVSS Score of 7.5, allows an authenticated attacker to modify the actions taken by a system call and execute arbitrary code which has high impact to confidentiality, high impact to integrity, high impact to availability, and no user interaction.     Atlassian recommends that you upgrade your instance to latest version. If you're unable to upgrade to latest, upgrade to one of these fixed versions: 9.2.3 and 9.3.1. See the release notes ([https://confluence.atlassian.com/bambooreleases/bamboo-release-notes-1189793869.html|https://confluence.atlassian.com/bambooreleases/bamboo-release-notes-1189793869.html]). You can download the latest version of Bamboo Data Center and Bamboo Server from the download center ([https://www.atlassian.com/software/bamboo/download-archi…

AMI SPx contains a vulnerability in the BMC where a user may inject code which could be executed via a Dynamic Redfish Extension interface. A successful exploit of this vulnerability may lead to a loss of confidentiality, integrity, and availability.

RCE (Remote Code Execution) vulnerability was found in some Furukawa ONU models, this vulnerability allows remote unauthenticated users to send arbitrary commands to the device via web interface.

vm2 is an advanced vm/sandbox for Node.js. The library contains critical security issues and should not be used for production. The maintenance of the project has been discontinued. In vm2 for versions up to 3.9.19, `Promise` handler sanitization can be bypassed with the `@@species` accessor property allowing attackers to escape the sandbox and run arbitrary code, potentially allowing remote code execution inside the context of vm2 sandbox.

Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. When Auto-GPT is executed directly on the host system via the provided run.sh or run.bat files, custom Python code execution is sandboxed using a temporary dedicated docker container which should not have access to any files outside of the Auto-GPT workspace directory. Before v0.4.3, the `execute_python_code` command (introduced in v0.4.1) does not sanitize the `basename` arg before writing LLM-supplied code to a file with an LLM-supplied name. This allows for a path traversal attack that can overwrite any .py file outside the workspace directory by specifying a `basename` such as `../../../main.py`. This can further be abused to achieve arbitrary code execution on the host running Auto-GPT by e.g. overwriting autogpt/main.py which will be executed outside of the docker environment meant to sandbox custom python code execution the next time Auto-GPT is started. The issue has be…

Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. Running Auto-GPT version prior to 0.4.3 by cloning the git repo and executing `docker compose run auto-gpt` in the repo root uses a different docker-compose.yml file from the one suggested in the official docker set up instructions. The docker-compose.yml file located in the repo root mounts itself into the docker container without write protection. This means that if malicious custom python code is executed via the `execute_python_file` and `execute_python_code` commands, it can overwrite the docker-compose.yml file and abuse it to gain control of the host system the next time Auto-GPT is started. The issue has been patched in version 0.4.3.

Certain Zemana products are vulnerable to Arbitrary code injection. This affects Watchdog Anti-Malware 4.1.422 and Zemana AntiMalware 3.2.28.