Cybersecurity researchers at CYFIRMA have identified and analyzed a new ransomware strain named Gines. The malware, discovered during the monitoring of underground forums, is believed to be a new variant in the lineage of the Makop ransomware family. Gines is a file-encrypting malware targeting Windows operating systems. It follows the now-standard double-extortion model, where it first exfiltrates sensitive data from the victim's network before proceeding with encryption. The ransomware appends a .gines extension to encrypted files and leaves a ransom note, +README-WARNING+.txt, with instructions to contact the operators via an Outlook email address. As a new variant, there is no public decryptor available, and organizations are advised against paying the ransom.
Based on the description, the Gines ransomware follows a typical ransomware execution flow:
T1486 - Data Encrypted for Impact..gines to encrypted files, along with a victim ID and email address.+README-WARNING+.txt in directories. This is a form of T1491.001 - Defacement.ginesomna@outlook.com) for the victim to initiate contact. This use of a public email service for C2 is a simple but common tactic for some ransomware groups, mapping to T1567.002 - Exfiltration to Cloud Storage for the initial contact.As with any ransomware attack, the impact can be devastating:
+README-WARNING+.txt*.ginesginesomna@outlook.comSecurity teams can hunt for signs of Gines or other Makop-family ransomware:
+README-WARNING+.txtwmic shadowcopy delete[random].exeAppData\Local\Temp.passwords.xlsx). Configure high-priority alerts to trigger if these files are ever accessed or modified, as this can be an early sign of a ransomware process scanning the network.Standard ransomware mitigation strategies apply:
M1053 - Data Backup).M1017 - User Training).M1026 - Privileged Account Management).Maintain offline and immutable backups to ensure recovery without paying the ransom.
Use modern EDR/antivirus solutions with behavioral detection to identify and block ransomware activity.
File Content Rules, often implemented as part of an Endpoint Detection and Response (EDR) or Data Loss Prevention (DLP) solution, can be highly effective in detecting and stopping ransomware like Gines. Security teams can create rules that monitor for the creation of files with specific names or content. For Gines, a high-confidence rule would be to detect any file created with the name +README-WARNING+.txt. Upon detection, the system can be configured to automatically trigger an alert, quarantine the host machine, and terminate the offending process. This can stop the ransomware in its tracks before it encrypts a significant portion of the file system. Another powerful use of this technique is creating 'honeypot' or 'canary' files on network shares. These files are given enticing names like Finance_Passwords_2026.xlsx and are monitored for any read or write activity. Since no legitimate user should ever touch these files, any interaction is a very strong signal of malicious reconnaissance or encryption activity, providing an early warning of an attack.
Since new ransomware variants like Gines may not have known file hashes, detection must rely on behavioral process analysis. Modern EDR solutions are designed to do this. They monitor the chain of actions taken by a process and compare them to known malicious patterns. For a ransomware attack, this would involve detecting a single process that: 1) attempts to delete Volume Shadow Copies (via vssadmin or WMI calls), 2) enumerates a large number of files on local and network drives in a short period, 3) begins rapidly modifying and renaming files (e.g., adding the .gines extension), and 4) drops a ransom note file (+README-WARNING+.txt). By correlating these individual actions into a single high-confidence 'ransomware behavior' alert, the EDR can terminate the malicious process and its children, effectively halting the encryption process before it can cause widespread damage. This behavioral approach is crucial for defending against zero-day malware.

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.
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Every tactic, technique, and sub-technique used in this threat has been identified and mapped to the MITRE ATT&CK framework for consistent, actionable threat language.
Observables and indicators of compromise (IOCs) have been extracted and cataloged. Risk has been assessed and correlated with known threat actors and historical campaigns.
Detection rules, incident response steps, and D3FEND-aligned mitigation strategies are included so your team can act on this intelligence immediately.
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Sigma detection rules are derived from the threat techniques in this article and can be converted for deployment across any major SIEM or EDR platform.