picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.pyshell.ModifiedInterpreter.runcommand in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims.

An Improper Input Validation vulnerability in the scanning logic of mmaitre314 picklescan versions up to and including 0.0.30 allows a remote attacker to bypass pickle files security checks by supplying a standard pickle file with a PyTorch-related file extension. When the pickle file incorrectly considered safe is loaded, it can lead to the execution of malicious code.

picklescan before 0.0.28 fails to detect malicious pickle files that invoke torch.utils._config_module.load_config function within reduce methods. Attackers can craft pickle files embedding arbitrary code that evades detection but executes during pickle.load, enabling remote code execution in supply chain attacks.

picklescan before 0.0.30 fails to detect cProfile.runctx function calls in pickle file reduce methods, allowing attackers to execute arbitrary code. Malicious pickle files bypass picklescan detection and execute remote code when loaded via pickle.load().

An Improper Handling of Exceptional Conditions vulnerability in the ZIP archive scanning component of mmaitre314 picklescan allows a remote attacker to bypass security scans. This is achieved by crafting a ZIP archive containing a file with a bad Cyclic Redundancy Check (CRC), which causes the scanner to halt and fail to analyze the contents for malicious pickle files. When the file incorrectly considered safe is loaded, it can lead to the execution of malicious code.

Insufficient policy enforcement in DevTools in Google Chrome on Android prior to 148.0.7778.96 allowed a local attacker to perform privilege escalation via a malicious file. (Chromium security severity: High)

PraisonAI (pip package praisonaiagents) before 1.6.78 contains an unsafe dynamic module loading vulnerability in AgentFlow._resolve_pydantic_class (src/praisonai-agents/praisonaiagents/workflows/workflows.py). When a workflow step uses a string output_pydantic reference, the framework locates and imports a sibling tools.py from the workflow file's directory via importlib exec_module without sandboxing, ignoring the PRAISONAI_ALLOW_*_TOOLS environment variables. An attacker who controls a workflow file and its sibling tools.py can execute arbitrary Python code with the workflow runner's privileges when the workflow is executed via WorkflowManager or after load_yaml.

Protection mechanism failure in Visual Studio allows an unauthorized attacker to execute code locally.

HCL AION is affected by a vulnerability where untrusted file parsing operations are not executed within a properly isolated sandbox environment. This may expose the application to potential security risks, including unintended behaviour or integrity impact when processing specially crafted files.

Protection mechanism failure in .NET Framework allows an unauthorized attacker to execute code locally.

Protection mechanism failure in Windows Mark of the Web (MOTW) allows an unauthorized attacker to bypass a security feature locally.

WinZip Mark-of-the-Web Bypass Vulnerability. This vulnerability allows remote attackers to bypass the Mark-of-the-Web protection mechanism on affected installations of WinZip. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the handling of archive files. When opening an archive that bears the Mark-of-the-Web, WinZip removes the Mark-of-the-Web from the archive file. Following extraction, the extracted files also lack the Mark-of-the-Web. An attacker can leverage this vulnerability to execute arbitrary code in the context of the current user. Was ZDI-CAN-23983.

PraisonAI is a multi-agent teams system. Prior to 4.5.128, PraisonAI's AST-based Python sandbox can be bypassed using type.__getattribute__ trampoline, allowing arbitrary code execution when running untrusted agent code. The _execute_code_direct function in praisonaiagents/tools/python_tools.py uses AST filtering to block dangerous Python attributes like __subclasses__, __globals__, and __bases__. However, the filter only checks ast.Attribute nodes, allowing a bypass. The sandbox relies on AST-based filtering of attribute access but fails to account for dynamic attribute resolution via built-in methods such as type.getattribute, resulting in incomplete enforcement of security restrictions. The string '__subclasses__' is an ast.Constant, not an ast.Attribute, so it is never checked against the blocked list. This vulnerability is fixed in 4.5.128.

Microsoft Office Remote Code Execution Vulnerability

Microsoft Office Security Feature Bypass Vulnerability

A logic issue was addressed with improved checks. This issue is fixed in iOS 16.2 and iPadOS 16.2, iOS 15.7.2 and iPadOS 15.7.2, tvOS 16.2. An app may be able to execute arbitrary code with kernel privileges.

A logic issue was addressed with improved checks. This issue is fixed in tvOS 16.1, iOS 15.7.1 and iPadOS 15.7.1, macOS Ventura 13, watchOS 9.1, iOS 16.1 and iPadOS 16, macOS Monterey 12.6.1. An app may be able to execute arbitrary code with kernel privileges.

A logic issue was addressed with improved checks. This issue is fixed in iOS 15.6 and iPadOS 15.6, tvOS 15.6, macOS Monterey 12.5. Processing a maliciously crafted file may lead to arbitrary code execution.