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 trending rankings. Only after achieving engagement did the attackers introduce subtle updates that quietly embedded the PyStoreRAT backdoor under the guise of routine maintenance.
Once active, PyStoreRAT demonstrates a high degree of adaptability. Morphisec researchers found that it profiles infected systems and can deploy additional payloads, including known data-stealing malware families and Python-based loaders. The malware also modifies its execution behavior when it detects certain endpoint protection products, reducing its exposure to security monitoring.
The threat is not limited to a single delivery method. PyStoreRAT can propagate through removable storage devices such as USB drives and continuously retrieves updated components from its operators. Its command-and-control infrastructure relies on a rotating network of servers, allowing attackers to issue new instructions quickly while complicating takedown efforts.
Researchers also identified non-English language elements within the malware code, including Russian-language terms. While this does not confirm attribution, Morphisec noted that the level of planning and operational maturity places the campaign well beyond low-effort GitHub-based malware activity.
GitHub has removed the majority of the malicious repositories linked to the campaign, though a small number were still accessible at the time of analysis. Security experts stress that developers and researchers should remain cautious when downloading tools, carefully review code changes, and avoid running projects that cannot be independently verified.
Morphisec concluded that the campaign surfaces a vastly growing trend, where attackers combine AI-generated content, social engineering, and resilient cloud infrastructure to bypass traditional security defenses, making awareness and verification more critical than ever.
