Ransomware Threat Grows with Reuse of Open-Source Models

16 Sep 2025

A recent study reveals a disconcerting trend in the cybercriminal landscape: the proliferation of ransomware attacks facilitated by the reuse of open-source ransomware models. This practice is empowering less-skilled actors to launch potent ransomware operations with minimal technical expertise. The study highlights an attack on a Sri Lankan food manufacturing firm, carried out by a ransomware group known as Yurei.

Yurei and the Double-Extortion Model

The Yurei group executed their attack using a method known as the double-extortion model. They encrypted critical files on the victim's systems and exfiltrated sensitive data, holding the threat of publishing or selling the information on dark web platforms if the ransom demands were not met. This approach creates a heightened sense of urgency and pressure for victims, often compelling them to comply with the attackers' demands.

Yurei based their attack on the Prince-Ransomware code base, making only slight modifications to it. While this reuse of code allows rapid deployment of ransomware attacks, it also inherits any existing flaws within the original code. One significant oversight in this instance was the failure to remove Volume Shadow Copies (VSS), enabling environments where VSS is active to potentially recover some of their data without paying the ransom.

Opportunities and Challenges in Defense

The report underscores a paradox within the open-source ransomware phenomenon. While utilizing open-source code lowers the technical barrier for cybercriminals, it simultaneously furnishes defenders with the opportunity to identify and mitigate these reused ransomware variants. This reuse makes patterns more predictable and allows security professionals to develop countermeasures based on known vulnerabilities.

However, the report also issues a stark warning regarding the role of advanced technologies such as artificial intelligence (AI) in escalating the ransomware threat. The study indicates that AI is increasingly being used to bypass CAPTCHA systems, crack passwords, generate malicious code, and execute sophisticated social engineering attacks. These advanced capabilities pose new challenges in the cybersecurity domain, as they significantly enhance the effectiveness of ransomware attacks.

The findings suggest a dynamic and evolving threat landscape, where both attackers and defenders need to continuously adapt. Cybersecurity efforts must focus not only on technological defenses but also on staying ahead of emerging tactics employed by increasingly resourceful adversaries.

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