The ransomware blueprint: Attack patterns and strategic variations across gangs

IF 4.4 2区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Francesco Saccone , Pietro Melillo , Arnaldo Sgueglia , Andrea Di Sorbo , Corrado Aaron Visaggio
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Abstract

In recent years, ransomware attacks have attracted the attention of researchers and companies, prompting new issues in identifying effective defense techniques. The study provides a comprehensive analysis of ransomware attacks and their employed tactics from 2020 to 2024, leveraging a large dataset of over 16,000 documented ransomware incidents involving 155 distinct gangs. Using this data, we identify the exploited software vulnerabilities (CVEs) and map them to specific adversarial behaviors within the MITRE ATT&CK framework. In addition to this technical mapping, we differentiated between broadly targeting “generalist” gangs and industry-focused ”specialist” gangs, and we examined variations in attack patterns across target sectors and geographic origins. Our methodology reveals the core ”ransomware blueprint”: a unified kill-chain model comprising recurring techniques spanning initial access through encryption. Key findings include the use of high-severity, widely deployed CVEs (particularly public-facing exploits, such as T1190) as entry points, followed by routine privilege escalation, lateral movement, and impact actions (e.g., T1486 for data encryption). The analysis also reveals regional and sectoral differences: (i) Russian-origin groups often emphasize rapid disruption and recovery inhibition, and (ii) other groups focus on stealthier reconnaissance. Generalist gangs (e.g., LockBit, Cl0p, ALPHV) employ advanced techniques across multiple industries, while specialist gangs concentrate on narrower sectors, using simpler methods such as phishing and credential reuse. Moreover, the number of shared techniques is employed to assess the degree of interconnection among the gangs. These findings provide actionable intelligence for defenders, highlighting the need for multi-layered defenses, targeted vulnerability management, and sector-specific hardening strategies to mitigate evolving ransomware threats.
勒索软件的蓝图:跨团伙的攻击模式和战略变化
近年来,勒索软件攻击引起了研究人员和公司的注意,引发了寻找有效防御技术的新问题。该研究对2020年至2024年期间的勒索软件攻击及其使用的策略进行了全面分析,利用了涉及155个不同团伙的16,000多个记录在案的勒索软件事件的大型数据集。使用这些数据,我们确定了被利用的软件漏洞(cve),并将它们映射到MITRE攻击和CK框架内的特定对抗性行为。除了这种技术映射之外,我们区分了广泛瞄准的“通才”团伙和专注于行业的“专家”团伙,并且我们检查了跨目标部门和地理来源的攻击模式的变化。我们的方法揭示了核心的“勒索软件蓝图”:一个统一的杀伤链模型,包括从初始访问到加密的重复技术。主要发现包括使用高严重性、广泛部署的cve(特别是面向公众的漏洞利用,如T1190)作为入口点,然后是常规特权升级、横向移动和影响操作(例如,用于数据加密的T1486)。分析还揭示了区域和部门差异:(i)俄罗斯裔团体经常强调快速破坏和恢复抑制,(ii)其他团体侧重于隐身侦察。通才型团伙(例如LockBit、Cl0p、ALPHV)在多个行业使用先进的技术,而专业团伙则专注于更狭窄的领域,使用更简单的方法,如网络钓鱼和凭证重用。此外,使用共享技术的数量来评估帮派之间的相互联系程度。这些发现为防御者提供了可操作的情报,强调了多层次防御、有针对性的漏洞管理和针对特定行业的强化策略的必要性,以减轻不断演变的勒索软件威胁。
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来源期刊
Journal of Information Security and Applications
Journal of Information Security and Applications Computer Science-Computer Networks and Communications
CiteScore
10.90
自引率
5.40%
发文量
206
审稿时长
56 days
期刊介绍: Journal of Information Security and Applications (JISA) focuses on the original research and practice-driven applications with relevance to information security and applications. JISA provides a common linkage between a vibrant scientific and research community and industry professionals by offering a clear view on modern problems and challenges in information security, as well as identifying promising scientific and "best-practice" solutions. JISA issues offer a balance between original research work and innovative industrial approaches by internationally renowned information security experts and researchers.
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