Cybersecurity researchers have identified a previously undocumented malware operation that leverages GitHub to distribute a threat known as PyStoreRAT. The campaign primarily targets individuals working in information technology, cybersecurity, and open-source intelligence research, exploiting their reliance on open-source tools.
The findings were published by Morphisec Threat Labs, which described the operation as a coordinated and deliberate effort rather than random malware distribution. The attackers focused on blending into legitimate developer activity, making the threat difficult to detect during its early stages.
PyStoreRAT functions as a Remote Access Trojan, a type of malware that enables attackers to maintain hidden and persistent access to an infected system. Once deployed, it can gather detailed system information, execute commands remotely, and act as a delivery mechanism for additional malicious software.
According to the research, the attackers began by reviving dormant GitHub accounts that had shown no activity for extended periods. These accounts were then used to upload software projects that appeared polished, functional, and credible. Many of the repositories were created with the help of artificial intelligence, allowing them to closely resemble genuine open-source tools.
The fake projects included OSINT utilities, decentralized finance trading bots, and AI-based applications such as chatbot wrappers. Several of these repositories gained visibility and user trust, with some rising through GitHub’s tr
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