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The LunaLock ransomware group has targeted the Artists&Clients website, stealing digital art and demanding a $50,000 ransom. The group threatens to leak stolen data and submit the artwork to AI companies for use in training large language models if the ransom is not paid. This novel extortion tactic sets a precedent for the misuse of intellectual property in AI training datasets.
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**LUNA** (Elastic tracking `REF5264`) is a Rust-based ransomware family with Windows and Linux variants. Its Windows payload is notably more mature: when launched without arguments, it enumerates drives, attempts to stop or disable 253 services, and terminates up to 997 processes before encrypting files. Such use of native Windows administration capabilities, including process-termination functionality comparable to `taskkill`, can expose a noisy pre-encryption detection window. LUNA encrypts files using per-file X25519 key pairs and AES-CTR, appends a public key and the `Luna` marker to encrypted content, and renames affected files with the `.Luna` extension. The Linux variant can encrypt selected files or directories but does not adequately exclude critical operating-system files, including `passwd`, `shadow`, and `sudoers`; encrypting these files can destabilize or render a Linux host unusable.
Sep 9, 2026
Security reporting has documented **LameHug** as the first publicly known malware to integrate a large language model, marking an escalation in the use of generative AI within malicious tooling. The development indicates that AI can be incorporated into malware operations rather than being used solely to create phishing content or assist attackers outside the payload. Separately, ransomware victim listings reached 894 organizations in July 2026, according to NCC Group data cited by ZDNET, with industrial organizations comprising nearly one-third of listed victims. The reporting also identified the first documented fully agentic AI ransomware attack chain, attributed to **JadePuffer**, amid a surge led by groups including The Gentlemen and Qilin; however, organizations should treat leak-site claims cautiously because some actors, including the new CRPxO RaaS operation, may inflate or fabricate victim listings.
Aug 26, 2026
Researchers said the **JADEPUFFER** threat actor deployed a new ransomware strain, **ENCFORGE** (also reported as EncForge), against a previously compromised **Langflow** server by exploiting `CVE-2025-3248`, a critical unauthenticated remote code execution flaw affecting versions before `1.3.0`. After gaining code execution, the attacker used an exposed Docker socket to escape the container, obtain root-level control on the host, and launch ransomware designed specifically for AI and machine learning environments. Sysdig linked the activity to earlier JADEPUFFER operations, including a second attack on the same vulnerable server and reuse of the Proton Mail address `e78393397@proton.me`. ENCFORGE is described as a purpose-built ransomware family that targets roughly 180 file types tied to AI workflows, including model weights and checkpoints, vector databases and indexes, embeddings, and training datasets. The malware uses hybrid encryption based on **AES-256** and **RSA-2048**, appends a `.locked` extension to encrypted files, drops ransom notes, and in one recovered sample deletes itself after execution; researchers also observed the operator iteratively generating multiple Python scripts within minutes when an initial payload failed, indicating real-time adaptation during the intrusion. Investigators found no evidence of data exfiltration, but warned that encrypting AI artifacts could force costly retraining and prolonged recovery, and urged organizations to patch Langflow, rotate exposed credentials, restrict Docker socket access, harden filesystem controls, and maintain offline or immutable backups of AI assets.
Aug 11, 2026