Python is a programming language whose libraries, runtimes, and dependencies can introduce vulnerabilities into software and security tooling.
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Background for this topic.
Python is a high-level, general-purpose programming language used for applications, automation, data processing, and security tooling. Its reference implementation, CPython, includes a standard library, while third-party packages extend the language for web services, networking, and system administration. Python’s broad deployment means vulnerabilities can affect both the interpreter and widely used libraries.
Security concerns include flaws in Python or dependencies, malicious or compromised packages introduced through typosquatting or dependency confusion, and unsafe application behavior. For example, deserializing untrusted data with pickle, evaluating untrusted expressions with eval, or constructing shell commands from unchecked input can enable code execution. Practitioners should inventory transitive dependencies, pin and review versions, use trusted package sources and integrity checks, apply security updates, and run services with least privilege. Python is also commonly used to automate scanning, analysis, and response, so those scripts require the same access control, code review, and secret-handling discipline as other production software.
By injecting malicious bytecode into interpreters for VBScript, Python, and Lua, researchers found they can circumvent malicious code detection.
Threat actors uploaded malicious Python packages to the PyPI repository and promoted them through the StackExchange online question and answer platform. [...]
In yet another sign that threat actors are always looking out for new ways to trick users into downloading malware, it has come to light that the question-and-answer (Q&A) platform known as Stack Exchange has been abused to direct unsuspecting developers to bogus Python packages capable of draining their cryptocurrency wallets