Buffer Overflow vulnerability in Bento4 v.1.6.0-641 allows a local attacker to execute arbitrary code via the AP4_Stz2Atom::AP4_Stz2Atom component located in Ap4Stz2Atom.cpp.

A validation issue was addressed with improved logic. This issue is fixed in iPadOS 17.7.4, macOS Sonoma 14.7.3, visionOS 2.3, iOS 18.3 and iPadOS 18.3, macOS Sequoia 15.3, watchOS 11.3, tvOS 18.3. An app may be able to execute arbitrary code with kernel privileges.

NVIDIA NeMo Framework for all platforms contains a vulnerability in the NLP component, where malicious data created by an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA Isaac-GR00T for all platforms contains a vulnerability in a Python component where an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA NeMo Framework for all platforms contains a vulnerability in the retrieval services component, where malicious data created by an attacker could cause a code injection. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA Megatron-LM for all platforms contains a vulnerability in the tools component, where an attacker may exploit a code injection issue. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA NeMo Framework for all platforms contains a vulnerability in the export and deploy component, where malicious data created by an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA Megatron-LM for all platforms contains a vulnerability in a python component where an attacker may cause a code injection issue by providing a malicious file. A successful exploit of this vulnerability may lead to Code Execution, Escalation of Privileges, Information Disclosure and Data Tampering.

NVIDIA Megatron-LM for all platforms contains a vulnerability in a python component where an attacker may cause a code injection issue by providing a malicious file. A successful exploit of this vulnerability may lead to Code Execution, Escalation of Privileges, Information Disclosure and Data Tampering.

NVIDIA NeMo Curator for all platforms contains a vulnerability where a malicious file created by an attacker could allow code injection. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA Merlin Transformers4Rec for all platforms contains a vulnerability in a python dependency, where an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA Apex for all platforms contains a vulnerability in a Python component where an attacker could cause a code injection issue by providing a malicious file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA NeMo Framework for all platforms contains a vulnerability in the NLP component, where malicious data created by an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

Versions of the package window-control before 1.4.5 are vulnerable to Command Injection via the sendKeys function, due to improper input sanitization.

Code injection in Remote Desktop Manager 2023.3.9.3 and earlier on macOS allows an attacker to execute code via the DYLIB_INSERT_LIBRARIES environment variable.

Asana Desktop 2.1.0 on macOS allows code injection because of specific Electron Fuses. There is inadequate protection against code injection through settings such as RunAsNode and EnableNodeCliInspectArguments, and thus r3ggi/electroniz3r can be used to perform an attack.

Code Injection in GitHub repository nuitka/nuitka prior to 0.9.

A flaw was found in the libreswan client plugin for NetworkManager (NetkworkManager-libreswan), where it fails to properly sanitize the VPN configuration from the local unprivileged user. In this configuration, composed by a key-value format, the plugin fails to escape special characters, leading the application to interpret values as keys. One of the most critical parameters that could be abused by a malicious user is the `leftupdown`key. This key takes an executable command as a value and is used to specify what executes as a callback in NetworkManager-libreswan to retrieve configuration settings back to NetworkManager. As NetworkManager uses Polkit to allow an unprivileged user to control the system's network configuration, a malicious actor could achieve local privilege escalation and potential code execution as root in the targeted machine by creating a malicious configuration.

Improper Control of Generation of Code ('Code Injection') in Electron Fuses in Logitech Options Plus version 1.60.496306 on macOS allows attackers to execute arbitrary code via insecure Electron Fuses configuration.

A CWE-94: Improper Control of Generation of Code ('Code Injection') vulnerability exists that could cause execution of malicious code when an unsuspicious user loads a project file from the local filesystem into the HMI.

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.

A code injection vulnerability in Trellix ENS 10.7.0 April 2023 release and earlier, allowed a local user to disable the ENS AMSI component via environment variables, leading to denial of service and or the execution of arbitrary code.

An issue was discovered in SystemFirmwareManagementRuntimeDxe in Insyde InsydeH2O with kernel 5.0 through 5.5. The implementation of the GetImage method retrieves the value of a runtime variable named GetImageProgress, and later uses this value as a function pointer. This variable is wiped out by the same module near the end of the function. By setting this UEFI variable from the OS to point into custom code, an attacker could achieve arbitrary code execution in the DXE phase, before several chipset locks are set.

IBM Security Verify Access Appliance 10.0.0.0 through 10.0.0.9 and 11.0.0.0 could allow a local user to execute arbitrary code due to improper restrictions on code generation.

RabbitMQ installers on Windows prior to version 3.8.16 do not harden plugin directory permissions, potentially allowing attackers with sufficient local filesystem permissions to add arbitrary plugins.