Abstract: The frequency of supply-chain attacks has reached unprecedented levels, amounting to a growing concern about the security of open-source software. Existing state-of-the-art techniques often ...
What Happened in the Shai Hulud JavaScript Attack? A major JavaScript supply-chain attack has compromised more than 400 NPM packages — including at least 10 widely used across the crypto ecosystem — ...
The Python Software Foundation team has invalidated all PyPI tokens stolen in the GhostAction supply chain attack in early September, confirming that the threat actors didn't abuse them to publish ...
In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
Python developers often need to install and manage third-party libraries. The most reliable way to do this is with pip, Python’s official package manager. To avoid package conflicts and system errors, ...
Cybersecurity researchers have found harmful software in the official Python Package Index (PyPI) and npm package repositories, putting software supply chains at risk. The packages, called termncolor ...
NVIDIA launches Wheel Variants to streamline CUDA-accelerated Python package installation, addressing compatibility challenges and optimizing user experience across diverse hardware setups. NVIDIA has ...
Triage Pending ⚠️New issues that haven't yet been reviewed or categorized.New issues that haven't yet been reviewed or categorized. I was testing out the command ...
In a newly discovered supply chain attack, attackers last week targeted a range of npm-hosted JavaScript type testing utilities, several of which were successfully compromised to distribute malware.
When you install Python packages into a given instance of Python, the default behavior is for the package’s files to be copied into the target installation. But sometimes you don’t want to copy the ...
Chainguard Libraries for Python isn’t just another repository; it’s an index of Python dependencies engineered to be resistant to malware. The secret sauce? Building every single one securely from its ...
AI-generated computer code is rife with references to non-existent third-party libraries, creating a golden opportunity for supply-chain attacks that poison legitimate programs with malicious packages ...