Supply Chain Attack | Breaking Cybersecurity News | The Hacker News

Supply chain attackers are not only trying to slip malicious code into trusted software. They are trying to steal the access that makes trusted software possible. Recently, three separate campaigns hit npm, PyPI, and Docker Hub in a 48-hour window, and all three targeted secrets from developer environments and CI/CD pipelines, including API keys, cloud credentials, SSH keys, and tokens. This is an ongoing concern and is self-propagating, as seen in attacks like the "mini Shai Hulud" campaigns.  That pattern should change how security teams think about the software supply chain. Traditionally, security focused on shared systems like source code repositories, CI/CD platforms, artifact registries, package managers, and cloud environments. The goal was to protect production workloads and data. We absolutely still need to focus on these areas, but it is an incomplete picture.  Modern software delivery begins before code reaches Git. It begins on the developer workstation, wher...

Cybersecurity researchers have discovered four new npm packages containing information-stealing malware, one of which is a clone of the Shai-Hulud worm open-sourced by TeamPCP . The list of identified packages is below - chalk-tempalte (825 Downloads) @deadcode09284814/axios-util (284 Downloads) axois-utils (963 Downloads) color-style-utils (934 Downloads) "One of the packages (chalk-tempalte) contains a direct clone of the Shai-Hulud source code that TeamPCP leaked last week, probably inspired as part of the supply chain attack competition that was published in BreachForums not long after," OX Security's Moshe Siman Tov Bustan said. Interestingly, the malicious payloads embedded into the four npm packages are different, despite them being published by the same npm user, " deadcode09284814 ." As of writing, the four libraries are still available for download from npm. An analysis of the packages has revealed that "axois-utils" is designed ...

OpenAI has disclosed that two of its employee devices in its corporate environment were impacted via the Mini Shai-Hulud supply chain attack on TanStack, but noted that no user data, production systems, or intellectual property were compromised or modified in an unauthorized manner. "Upon identification of the malicious activity, we worked quickly to investigate, contain, and take steps to protect our systems," OpenAI said . "We observed activity consistent with the malware's publicly described behavior, including unauthorized access and credential-focused exfiltration activity, in a limited subset of internal source code repositories to which the two impacted employees had access." The artificial intelligence (AI) upstart said only limited credential material was successfully transferred from these code repositories, adding no other information or code was impacted. Upon being alerted of the activity, OpenAI said it isolated impacted systems and identities...