PyPI is the official Python Package Index that currently contains 500,972 projects, 5,228,535 million releases, 9,950,103 million files, and 770,841 users. PyPI helps users locate and install software ...
A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
A new report out today from Fortinet Inc.’s FortiGuard Labs is warning of two newly discovered malicious Python packages that pose a high risk of credential theft, data exfiltration and unauthorized ...
Multiple weaponized proof-of-concept (PoC) exploits on GitHub delivered a Python-based remote access trojan (RAT) called ChocoPoC that can execute commands and steal sensitive data. However, ChocoPoC ...
A malicious package recently uploaded to the Python Package Index (PyPI) is the latest manifestation of the growing sophistication of software supply chain threats. Security researchers at JFrog ...
GitHub confirmed on May 20 that a poisoned VS Code extension installed on an employee’s device gave attackers access to roughly 3,800 internal repositories at the Microsoft-owned code storage and ...
JFrog found malicious npm packages that deploy a Windows RAT to steal Chrome credentials, run commands, and transfer files.
Malicious Python packages masquerading as legitimate code obfuscation tools are targeting developers via the PyPI code repository. Focusing on those interested in code obfuscation is a savvy choice ...
A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...
A new malicious campaign has been found on the Python Package Index (PyPI) open-source repository involving 24 malicious packages that closely imitate three popular open-source tools: vConnector, ...
9don MSN
Edge users beware — this malicious extension can break out of the sandbox and install ransomware
Researchers from Zscaler found a new malware campaign dubbed Edgecution.
Is there a way to create a completly isolated javascript environment in python? All I want to do is test if some potentially malicious code calls window.location, iframe.src or something similar, no ...
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