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Malicious packages on the Python Package Index (PyPI) have been identified that deliver the SilentSync remote access Trojan (RAT) to unsuspecting users. These packages exploit the trust developers place in PyPI for downloading dependencies, highlighting the need for vigilance and security measures in the Python ecosystem.
PyPI has implemented new measures to protect against domain resurrection attacks that could allow attackers to hijack accounts through expired domains linked to email addresses. By monitoring the lifecycle of these domains, PyPI can unverify email addresses that are no longer active, significantly reducing the risk of supply-chain attacks. Users are advised to add backup emails and enable two-factor authentication for added security.
A malicious PyPi package named 'disgrasya', which exploits WooCommerce stores to validate stolen credit cards, has been downloaded over 34,000 times before its removal. The package automates the process of card validation by simulating a checkout flow, making it difficult for fraud detection systems to identify. Mitigation strategies include blocking low-value orders and implementing CAPTCHA steps during checkout.
PyPI users are being targeted by a phishing attack that attempts to trick them into logging into a fake PyPI site via a fraudulent email. The email, which appears to be from PyPI but uses a similar but incorrect domain, prompts users to verify their email, potentially compromising their credentials. Users are advised to delete the email if received and change their passwords if they have already clicked on the link.
The Python Software Foundation has issued a warning about new phishing attacks targeting PyPI users, urging them to reset their credentials after receiving fake emails from a fraudulent site. Victims are being misled into verifying their email for account maintenance, which could lead to credential theft and subsequent malware attacks on published packages. Users are advised to change passwords immediately and implement stronger security measures like two-factor authentication.