390,000+ WordPress Credentials Stolen via Malicious GitHub Repository Hosting PoC Exploits

Category	Details
Threat Actors	MUT-1244 (Mysterious Unattributed Threat), targeting security researchers and offensive actors.
Campaign Overview	Phishing campaigns and trojanized GitHub repositories were used to exfiltrate over 390,000 credentials and sensitive information like SSH keys and AWS access keys.
Target Regions (Victims)	Offensive actors, pentesters, security researchers, and malicious threat actors.
Methodology	Trojanized GitHub repositories with fake PoCs for CVEs, phishing emails targeting academics, use of malicious npm dependencies, ClickFix-style attacks on Linux systems.
Product Targeted	WordPress accounts (via yawpp tool), credentials stored in ~/.aws directories, SSH keys, and system information.
Malware Reference	Malicious npm package “@0xengine/xmlrpc” and “0xengine/meow”; second-stage payloads delivered via backdoored files, PDFs, Python droppers, and malicious npm dependencies.
Tools Used	Fake GitHub repositories, phishing emails, XML-RPC API exploitation, malicious npm packages, and second-stage payloads for data exfiltration.
Vulnerabilities Exploited	Exploitation of victim trust through fake PoCs, ClickFix-style attacks against Linux, and abuse of npm packages for malware delivery.
TTPs	Use of trojanized repositories, phishing with AI-generated profiles, exfiltration of credentials to Dropbox, multi-vector malware payloads, targeting Linux systems with shell commands.
Attribution	Based on campaign activity and telemetry, MUT-1244 is a notable threat actor targeting individuals in the cybersecurity community.
Recommendations	– Avoid downloading unverified PoCs from GitHub. – Implement strict monitoring of credential usage. – Regularly scan for malicious dependencies in projects. – Train users to recognize phishing and ClickFix-style attacks. – Use endpoint protection tools.
Source	The Hackers News

Read full article: https://thehackernews.com/2024/12/390000-wordpress-credentials-stolen-via.html

The above summary has been generated by an AI language model