CVE-2023-37273

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.

Source: CVE-2023-37273

CVE-2023-37274

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 been patched in version 0.4.3. As a workaround, the risk introduced by this vulnerability can be remediated by running Auto-GPT in a virtual machine, or another environment in which damage to files or corruption of the program is not a critical problem.

Source: CVE-2023-37274

CVE-2023-37275

Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. The Auto-GPT command line UI makes heavy use of color-coded print statements to signify different types of system messages to the user, including messages that are crucial for the user to review and control which commands should be executed. Before v0.4.3, it was possible for a malicious external resource (such as a website browsed by Auto-GPT) to cause misleading messages to be printed to the console by getting the LLM to regurgitate JSON encoded ANSI escape sequences (`u001b[`). These escape sequences were JSON decoded and printed to the console as part of the model’s "thinking process". The issue has been patched in release version 0.4.3.

Source: CVE-2023-37275

CVE-2023-37278

GLPI is a Free Asset and IT Management Software package, Data center management, ITIL Service Desk, licenses tracking and software auditing. An administrator can trigger SQL injection via dashboards administration. This vulnerability has been patched in version 10.0.9.

Source: CVE-2023-37278

CVE-2023-37599

An issue in issabel-pbx v.4.0.0-6 allows a remote attacker to obtain sensitive information via the modules directory

Source: CVE-2023-37599

CVE-2023-37849

A DLL hijacking vulnerability in Panda Security VPN for Windows prior to version v15.14.8 allows attackers to execute arbitrary code via placing a crafted DLL file in the same directory as PANDAVPN.exe.

Source: CVE-2023-37849

CVE-2023-37839

An arbitrary file upload vulnerability in /dede/file_manage_control.php of DedeCMS v5.7.109 allows attackers to execute arbitrary code via uploading a crafted PHP file.

Source: CVE-2023-37839

CVE-2023-37598

A Cross Site Request Forgery (CSRF) vulnerability in issabel-pbx v.4.0.0-6 allows a remote attacker to cause a denial of service via the delete new virtual fax function.

Source: CVE-2023-37598

CVE-2023-37468

Feedbacksystem is a personalized feedback system for students using artificial intelligence. Passwords of users using LDAP login are stored in clear text in the database. The LDAP users password is passed unencrypted in the LoginController.scala and stored in the database when logging in for the first time. Users using only local login or the cas login are not affected. This issue has been patched in version 1.19.2.

Source: CVE-2023-37468

CVE-2023-36473

Discourse is an open source discussion platform. A CSP (Content Security Policy) nonce reuse vulnerability could allow XSS attacks to bypass CSP protection. There are no known XSS vectors at the moment, but should one be discovered, this vulnerability would allow the XSS attack to completely bypass CSP. The vulnerability is patched in the latest tests-passed, beta and stable branches.

Source: CVE-2023-36473