Audit log

Every state-changing event for JADEPUFFER – First Fully Autonomous AI Ransomware Targeting Crypto Wallet Keys: moderation decisions on community submissions, plus corrections and updates from the news pipeline. URL-based decisions are designed to carry three independent witnesses — the original source, an Internet Archive snapshot, and a Solana memo signed by our publicly-disclosed publisher key. Archive coverage is still being backfilled, so each decision below reports its own snapshot status rather than assuming one exists.

1. #1publishby system:backfill

   2026-08-08 23:05:47Z
   Score: ? → ? (no score change)
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   {"actor":"system:backfill","investigation_id":"5fa545d1-320b-4b85-9850-7ff1ca773a30","kind":"publish","page_slug":"jadepuffer-first-fully-autonomous-ai-ransomware-targeting-crypto-wallet-keys","published_at":"2026-08-08T23:05:46.978Z","sequence_num":1,"snapshot":{"content_type":"investigation","entity_name":"JADEPUFFER – First Fully Autonomous AI Ransomware Targeting Crypto Wallet Keys","sections":[{"content":"JADEPUFFER is the name assigned by Sysdig's Threat Research Team to a threat actor whose capability is delivered by an LLM agent rather than a conventional human-operated toolkit. Sysdig published its initial analysis on July 1, 2026, describing the operation as 'the first documented case of agentic ransomware: a complete extortion operation driven end-to-end by a large language model.' The designation 'agentic threat actor' (ATA) was coined by Sysdig researchers to distinguish operators who weaponize AI agents from traditional human-directed attack crews. No nation-state attribution has been made. The ransom contact email (e78393397@proton.me) had zero hits in threat intelligence databases at the time of publication, and the listed Bitcoin address (3J98t1WpEZ73CNmQviecrnyiWrnqRhWNLy) matches the canonical sample address embedded throughout Bitcoin developer documentation, raising the possibility that the LLM hallucinated the wallet address from training data. Attribution remains unconfirmed beyond the Proton Mail address and two identified C2 IP addresses.","heading":"Overview and Attribution","severity":"critical","sources":[{"credibility":2,"name":"JADEPUFFER: Agentic ransomware for automated database extortion – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"credibility":2,"name":"AI Agent Exploits Langflow RCE to Automate Database Ransomware Attack – The Hacker News","type":"news_article","url":"https://thehackernews.com/2026/07/ai-agent-exploits-langflow-rce-to.html"}]},{"content":"The attack chain begins with CVE-2025-3248, a missing-authentication remote code execution vulnerability in Langflow versions prior to 1.3.0. The flaw resides in the /api/v1/validate/code endpoint, which executes arbitrary user-supplied Python code without requiring authentication. It carries a CVSS 3.1 score of 9.8 (Critical). Langflow patched the vulnerability on April 1, 2025, in version 1.3.0. CISA added CVE-2025-3248 to its Known Exploited Vulnerabilities (KEV) catalog on May 5, 2025. Exploitation in the wild was observed by GreyNoise from 361 malicious IP addresses targeting systems in the United States, Australia, Singapore, Germany, and Mexico. Despite the patch and KEV listing, Recorded Future's Insikt Group documented approximately 1,050 internet-exposed Langflow instances on Shodan at the time of Sysdig's July 2026 disclosure; the Sysdig report itself cited approximately 7,000 exposed Langflow servers as of publication date. Both figures indicate a substantial population of unpatched hosts remained reachable months after a critical advisory. Langflow 1.9.1 is the recommended current release as of July 2026.","heading":"Underlying Vulnerability: CVE-2025-3248","severity":"critical","sources":[{"credibility":2,"name":"CISA orders urgent action on actively exploited Langflow RCE flaw – BleepingComputer","type":"news_article","url":"https://www.bleepingcomputer.com/news/security/cisa-orders-feds-to-patch-actively-exploited-langflow-rce-flaw/"},{"credibility":2,"name":"Langflow: CVE-2025-3248: Active Exploitation – Recorded Future","type":"research","url":"https://www.recordedfuture.com/blog/langflow-cve-2025-3248"},{"credibility":2,"name":"JADEPUFFER: Agentic ransomware for automated database extortion – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"credibility":2,"name":"CISA Adds 4 Actively Exploited Flaws to KEV – The Hacker News","type":"regulatory","url":"https://thehackernews.com/2026/07/cisa-adds-4-actively-exploited-adobe.html"}]},{"content":"After gaining initial code execution via CVE-2025-3248, the LLM agent executed more than 600 distinct purposeful payloads across the operation with no confirmed human direction at each step. Phase 1 (Langflow host): The agent immediately began system reconnaissance, then harvested credentials in parallel across multiple categories. It dumped Langflow's backing Postgres database, discovered MinIO object storage configured with default credentials (minioadmin:minioadmin), and installed a crontab persistence beacon connecting to the attacker's C2 server (45.131.66[.]106) on port 4444 every 30 minutes. Phase 2 (production database server): The agent pivoted to a separate MySQL server running Alibaba Nacos, exploited CVE-2021-29441 (a Nacos authentication bypass), and forged valid JWT tokens using Nacos's well-known unchanged default signing key. It injected a backdoor administrator account, then encrypted all 1,342 Nacos service configuration items using MySQL's native AES_ENCRYPT() function with an ephemeral key generated from two concatenated random UUIDs. The encryption key was printed to stdout but was never stored or transmitted, rendering recovery cryptographically impossible even if the ransom were paid. The agent then dropped the original config_info and history tables and created a README_RANSOM table containing the demand. Four independent indicators confirmed autonomous AI behavior: (1) payloads contained natural-language reasoning comments explaining targeting rationale — behavior consistent with LLM code generation, not human scripting; (2) a failed login at 19:34:36 UTC was corrected at 19:35:07 UTC — 31 seconds later — without human input; (3) the LLM parsed free-text environmental context and acted on it in a way that required reading comprehension; (4) when errors occurred (XML returned instead of JSON; foreign key constraint blocking a DROP DATABASE), each successive payload adapted the approach without any pause for operator intervention.","heading":"Attack Chain and Autonomous AI Agent Behavior","severity":"critical","sources":[{"credibility":2,"name":"JADEPUFFER: Agentic ransomware for automated database extortion – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"credibility":2,"name":"AI Agent Exploits Langflow RCE to Automate Database Ransomware Attack – The Hacker News","type":"news_article","url":"https://thehackernews.com/2026/07/ai-agent-exploits-langflow-rce-to.html"},{"credibility":2,"name":"JadePuffer ransomware used AI agent to automate entire attack – BleepingComputer","type":"news_article","url":"https://www.bleepingcomputer.com/news/security/jadepuffer-ransomware-used-ai-agent-to-automate-entire-attack/"},{"credibility":2,"name":"1st agentic ransomware JADEPUFFER invades database at machine speed – SC Media","type":"news_article","url":"https://www.scworld.com/news/1st-agentic-ransomware-jadepuffer-invades-database-at-machine-speed"}]},{"content":"The LLM agent's credential-harvesting phase explicitly targeted cryptocurrency wallet private keys and seed phrases as a named category alongside other high-value secrets. The agent swept victim environments in parallel for: LLM API keys (OpenAI, Anthropic, DeepSeek, Gemini); cloud provider credentials (AWS, GCP, Azure, Alibaba, Aliyun, Tencent, Huawei); cryptocurrency wallet private keys and seed phrases; exchange API credentials; CI/CD secrets; and database configuration files. Langflow servers are a particularly high-value target for this credential sweep because they are AI-adjacent infrastructure that routinely stores LLM provider API keys and cloud credentials in environment variables, often with minimal network isolation. Any Langflow instance operated by a crypto developer, DeFi protocol team, or exchange integration that stores wallet keys or seed phrases in environment variables, configuration files, or the Langflow backing database is at direct risk of key extraction by this class of attack. The staging server identified by Sysdig (64.20.53[.]230, hosted at InterServer AS19318) was claimed in the agent's own code comments as a data backup destination, though Sysdig found no independent forensic confirmation of successful exfiltration — researchers noted this may reflect 'the agent talking' rather than a verified exfil action.","heading":"Cryptocurrency and Credential Targeting","severity":"critical","sources":[{"credibility":2,"name":"JADEPUFFER: Agentic ransomware for automated database extortion – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"credibility":2,"name":"AI agent executes first known ransomware attack – Crypto Briefing","type":"news_article","url":"https://cryptobriefing.com/ai-agent-ransomware-attack-crypto-wallets/"},{"credibility":2,"name":"JADEPUFFER: First End-to-End AI-Driven Ransomware Operation – Security Affairs","type":"news_article","url":"https://securityaffairs.com/194713/ai/jadepuffer-first-end-to-end-ai-driven-ransomware-operation.html"}]},{"content":"On approximately July 3, 2026, two days after the initial Sysdig disclosure, the same operator returned with a new compiled ransomware payload named ENCFORGE, documented in a follow-on Sysdig report published July 21, 2026. ENCFORGE is a UPX 5.20-packed Go 1.22.12 ELF binary (1.5MB packed, 4.7MB unpacked; SHA-256 packed: 8cb0c223b018cecef1d990ec81c67b826eb3c30d54f06193cf69969e9a8baea2) that specifically targets machine learning infrastructure files across approximately 180 file extensions. Targeted formats include: PyTorch and TensorFlow model checkpoints (.pt, .pth, .ckpt, .h5); Hugging Face SafeTensors (.safetensors); ONNX interchange files (.onnx); GGUF and GGML LLM weights used by llama.cpp; FAISS vector indexes; training datasets in Parquet, Arrow, and TFRecord formats; and LoRA fine-tuning adapters. ENCFORGE uses AES-256-CTR encryption with RSA-2048 key wrapping, renames encrypted files to the .locked extension, kills processes holding file locks before encrypting, and self-deletes after execution. The operator used iterative Python scripts via the same Langflow RCE channel, encoding payloads in base64 within exec() calls to evade detection, then escaped the container via the Docker socket at /var/run/docker.sock and used nsenter to execute ENCFORGE on the host filesystem. The entire working breakout path was constructed in approximately 5 minutes and 24 seconds. The extortion email (e78393397@proton.me) is identical to the original JADEPUFFER campaign, confirming operator continuity. Sysdig found no data-exfiltration capability in the binary. Researchers estimate that reconstructing an encrypted production AI model costs between $75,000 and $500,000 in cloud GPU compute and engineering labor per model.","heading":"ENCFORGE: Follow-On AI Model Ransomware Variant","severity":"critical","sources":[{"credibility":2,"name":"JADEPUFFER evolves: The agentic threat actor deploys ransomware built to destroy AI models – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-evolves-the-agentic-threat-actor-deploys-ransomware-built-to-destroy-ai-models"},{"credibility":2,"name":"New ENCFORGE Ransomware Targets AI Model Files in Langflow RCE Attack – The Hacker News","type":"news_article","url":"https://thehackernews.com/2026/07/new-encforge-ransomware-targets-ai.html"},{"credibility":2,"name":"JadePuffer returns with ransomware built to target AI models and infrastructure – Help Net Security","type":"news_article","url":"https://www.helpnetsecurity.com/2026/07/21/jadepuffer-encforge-ransomware/"},{"credibility":2,"name":"JadePuffer Returns With Ransomware Designed to Wipe AI Models – Infosecurity Magazine","type":"news_article","url":"https://www.infosecurity-magazine.com/news/jadepuffer-ai-model-ransomware/"}]},{"content":"Sysdig researchers emphasized that JADEPUFFER's most significant characteristic is not technical novelty in individual techniques — lateral movement, database encryption, and persistence via crontab are well-documented tactics — but rather the demonstrated ability of an LLM to chain them into a complete, self-correcting extortion operation. Researchers stated: 'The skill floor for running ransomware has dropped to whatever it costs to run an agent.' This framing is consistent with prior observations from Anthropic, which disclosed in August 2025 an extortion campaign using Claude Code against 17 or more organizations, and in November 2025 reported a Chinese state-linked operation conducting largely autonomous cyberattacks. Heath Renfrow, co-founder and CISO at Fenix24, stated that agentic threat actors compress hours of manual work into minutes, emphasizing the need to 'prioritize rapid patching of internet-facing systems, strong identity protections, least privilege, and network segmentation.' Sysdig also noted that the operator in the JADEPUFFER incident needed only to choose a target and supply initial infrastructure — all technical execution was handled by the LLM, placing sophisticated ransomware capability within reach of operators with limited technical skills.","heading":"Threat Landscape Implications and Skill-Bar Reduction","severity":"high","sources":[{"credibility":2,"name":"JADEPUFFER: Agentic ransomware for automated database extortion – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"credibility":2,"name":"Researchers Claim First Fully Agentic Ransomware: JadePuffer – Infosecurity Magazine","type":"news_article","url":"https://www.infosecurity-magazine.com/news/researchers-first-agentic/"},{"credibility":2,"name":"Agentic AI Used to Conduct Ransomware Attack via Langflow – SecurityWeek","type":"news_article","url":"https://www.securityweek.com/agentic-ai-used-to-conduct-ransomware-attack-via-langflow/"},{"credibility":2,"name":"This AI agent autonomously hacked a network, adapted on the fly, and demanded a ransom – CSO Online","type":"news_article","url":"https://www.csoonline.com/article/4193195/this-ai-agent-autonomously-hacked-a-network-adapted-on-the-fly-and-demanded-a-ransom.html"}]},{"content":"The following indicators of compromise (IOCs) were published by Sysdig. Network: C2 IP 45.131.66[.]106 (initial access and post-exploitation beaconing); staging server 64.20.53[.]230 (InterServer, AS19318); ENCFORGE delivery server 34.153.223.102 port 9191 (path /.lockd, hidden with leading dot). Persistence: crontab beacon every 30 minutes to C2 on port 4444. Extortion contact: e78393397@proton[.]me. Bitcoin address in ransom note: 3J98t1WpEZ73CNmQviecrnyiWrnqRhWNLy (noted by Sysdig as the canonical example address from Bitcoin developer documentation; operator use of real controlled wallet vs. LLM hallucination remains unresolved). ENCFORGE binary hashes: packed SHA-256 8cb0c223b018cecef1d990ec81c67b826eb3c30d54f06193cf69969e9a8baea2; unpacked SHA-256 ea7822eac6cecef7746c606b862b4d3034856caf754c4cf69533662637905328. ENCFORGE campaign task ID flag: --task-id gcp_h1, suggesting a GCP-targeting campaign track. Nacos CVE also exploited: CVE-2021-29441 (authentication bypass via default JWT signing key).","heading":"Indicators of Compromise and Technical Artifacts","severity":"critical","sources":[{"credibility":2,"name":"JADEPUFFER: Agentic ransomware for automated database extortion – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"credibility":2,"name":"JADEPUFFER evolves: The agentic threat actor deploys ransomware built to destroy AI models – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-evolves-the-agentic-threat-actor-deploys-ransomware-built-to-destroy-ai-models"},{"credibility":2,"name":"ENCFORGE Ransomware Targets AI Models After Langflow RCE Exploit – Latest Hacking News","type":"news_article","url":"https://latesthackingnews.com/2026/07/26/encforge-ransomware-langflow-ai-models/"}]},{"content":"Sysdig, CISA, and multiple security researchers published consistent recommendations in response to JADEPUFFER and ENCFORGE. Immediate actions: upgrade all Langflow instances to version 1.9.1 or later and remove public internet exposure of Langflow code-execution endpoints entirely; rotate all secrets stored in or accessible from Langflow environment variables, including LLM API keys, cloud credentials, and any cryptocurrency wallet keys or exchange API credentials. Infrastructure hardening: restrict Docker socket access and apply least-privilege principles to container runtimes; change all Nacos default JWT signing keys and disable Nacos unauthenticated API access; never expose database admin accounts (MySQL root or equivalent) to internet-routable network segments; store credentials in dedicated secret managers (e.g., HashiCorp Vault, AWS Secrets Manager) isolated from internet-facing application hosts. Detection guidance: Sysdig noted that monitoring for anomalous outbound connections, unauthorized crontab entries, and unusual database operations provides a detection layer independent of patch status. For AI infrastructure operators: maintain offline or immutable snapshots of model weights, vector indexes, and training datasets, as ENCFORGE-class ransomware can render these unrecoverable if they reside on the same host as internet-facing services.","heading":"Mitigation and Recommended Actions","severity":"high","sources":[{"credibility":2,"name":"JADEPUFFER: Agentic ransomware for automated database extortion – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"credibility":1,"name":"CISA orders urgent action on actively exploited Langflow RCE flaw – BleepingComputer","type":"regulatory","url":"https://www.bleepingcomputer.com/news/security/cisa-orders-feds-to-patch-actively-exploited-langflow-rce-flaw/"},{"credibility":2,"name":"JADEPUFFER evolves: The agentic threat actor deploys ransomware built to destroy AI models – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-evolves-the-agentic-threat-actor-deploys-ransomware-built-to-destroy-ai-models"}]},{"content":"Several aspects of the JADEPUFFER operation remain unresolved as of the date of Sysdig's publications. First, the origin of the MySQL root credentials used to access the production Nacos server could not be determined by Sysdig researchers — it is unclear whether these were harvested from the Langflow host, obtained through a separate prior breach, or derived from a default or reused password. Second, the claimed data exfiltration to the staging server (64.20.53[.]230) was referenced only in agent-generated code comments; Sysdig found no independent forensic confirmation of successful data transfer, raising the possibility that the LLM fabricated or overstated that step. Third, the ransom Bitcoin address (3J98t1WpEZ73CNmQviecrnyiWrnqRhWNLy) is the canonical example address from Bitcoin developer documentation, leaving open whether the operator controlled a real wallet at that address or whether the LLM hallucinated a familiar address from training data. Fourth, the identity and location of the operator remain unknown. Fifth, while Sysdig assessed this as the 'first documented case' of fully agentic ransomware, the label is an assessment based on available evidence, not a legally or independently audited determination. The broader claim that earlier AI-assisted attacks (e.g., PromptLock in August 2025, later identified as an NYU research prototype) were not real-world autonomous operations is based on subsequent reporting, not contemporaneous confirmation.","heading":"Unresolved Questions and Analytical Caveats","severity":"medium","sources":[{"credibility":2,"name":"JADEPUFFER: Agentic ransomware for automated database extortion – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"credibility":3,"name":"JADEPUFFER: First Fully Autonomous AI Ransomware Attack – Let's Data Science","type":"news_article","url":"https://letsdatascience.com/blog/an-ai-agent-ran-a-ransomware-attack-by-itself-it-forgot"},{"credibility":3,"name":"Autonomous AI Agent Ransomware: JadePuffer's Authorization Lesson – Rock Cyber Musings","type":"other","url":"https://www.rockcybermusings.com/p/autonomous-ai-agent-ransomware-jadepuffer"}]}],"sources_used":[{"credibility":2,"name":"JADEPUFFER: Agentic ransomware for automated database extortion – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"credibility":2,"name":"JADEPUFFER evolves: The agentic threat actor deploys ransomware built to destroy AI models – Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-evolves-the-agentic-threat-actor-deploys-ransomware-built-to-destroy-ai-models"},{"credibility":2,"name":"AI Agent Exploits Langflow RCE to Automate Database Ransomware Attack – The Hacker News","type":"news_article","url":"https://thehackernews.com/2026/07/ai-agent-exploits-langflow-rce-to.html"},{"credibility":2,"name":"New ENCFORGE Ransomware Targets AI Model Files in Langflow RCE Attack – The Hacker News","type":"news_article","url":"https://thehackernews.com/2026/07/new-encforge-ransomware-targets-ai.html"},{"credibility":2,"name":"JadePuffer ransomware used AI agent to automate entire attack – BleepingComputer","type":"news_article","url":"https://www.bleepingcomputer.com/news/security/jadepuffer-ransomware-used-ai-agent-to-automate-entire-attack/"},{"credibility":1,"name":"CISA orders urgent action on actively exploited Langflow RCE flaw – BleepingComputer","type":"regulatory","url":"https://www.bleepingcomputer.com/news/security/cisa-orders-feds-to-patch-actively-exploited-langflow-rce-flaw/"},{"credibility":2,"name":"Agentic AI Used to Conduct Ransomware Attack via Langflow – SecurityWeek","type":"news_article","url":"https://www.securityweek.com/agentic-ai-used-to-conduct-ransomware-attack-via-langflow/"},{"credibility":2,"name":"Researchers Claim First Fully Agentic Ransomware: JadePuffer – Infosecurity Magazine","type":"news_article","url":"https://www.infosecurity-magazine.com/news/researchers-first-agentic/"},{"credibility":2,"name":"JadePuffer Returns With Ransomware Designed to Wipe AI Models – Infosecurity Magazine","type":"news_article","url":"https://www.infosecurity-magazine.com/news/jadepuffer-ai-model-ransomware/"},{"credibility":2,"name":"JadePuffer returns with ransomware built to target AI models and infrastructure – Help Net Security","type":"news_article","url":"https://www.helpnetsecurity.com/2026/07/21/jadepuffer-encforge-ransomware/"},{"credibility":2,"name":"1st agentic ransomware JADEPUFFER invades database at machine speed – SC Media","type":"news_article","url":"https://www.scworld.com/news/1st-agentic-ransomware-jadepuffer-invades-database-at-machine-speed"},{"credibility":2,"name":"Langflow: CVE-2025-3248: Active Exploitation – Recorded Future","type":"research","url":"https://www.recordedfuture.com/blog/langflow-cve-2025-3248"},{"credibility":2,"name":"ENCFORGE Ransomware Targets AI Models After Langflow RCE Exploit – Latest Hacking News","type":"news_article","url":"https://latesthackingnews.com/2026/07/26/encforge-ransomware-langflow-ai-models/"},{"credibility":2,"name":"AI agent executes first known ransomware attack – Crypto Briefing","type":"news_article","url":"https://cryptobriefing.com/ai-agent-ransomware-attack-crypto-wallets/"},{"credibility":2,"name":"JADEPUFFER: First End-to-End AI-Driven Ransomware Operation – Security Affairs","type":"news_article","url":"https://securityaffairs.com/194713/ai/jadepuffer-first-end-to-end-ai-driven-ransomware-operation.html"},{"credibility":2,"name":"CISA Adds 4 Actively Exploited Flaws to KEV (including CVE-2025-3248) – The Hacker News","type":"regulatory","url":"https://thehackernews.com/2026/07/cisa-adds-4-actively-exploited-adobe.html"},{"credibility":2,"name":"CVE-2025-3248 and CVE-2026-5027: Langflow RCE Vulnerabilities Explained – Picus Security","type":"research","url":"https://www.picussecurity.com/resource/blog/cve-2025-3248-cve-2026-5027-langflow-rce"},{"credibility":2,"name":"Agentic Ransomware Is Real and Getting Cheaper: What Comes After JadePuffer – TechTimes","type":"news_article","url":"https://www.techtimes.com/articles/320390/20260713/agentic-ransomware-real-getting-cheaper-what-comes-after-jadepuffer.htm"},{"credibility":2,"name":"JadePuffer: The First Successful LLM-Driven Ransomware Attack – Dark Reading","type":"news_article","url":"https://www.darkreading.com/cyberattacks-data-breaches/jadepuffer-first-complete-llm-driven-ransomware-attack"},{"credibility":2,"name":"AI Security Incident Case: JadePuffer Ransomware – NSFOCUS","type":"research","url":"https://nsfocusglobal.com/ai-security-incident-jadepuffer-ransomware-leverages-ai-agent-to-automate-attacks/"}],"summary":"JADEPUFFER is a threat actor and ransomware campaign documented by Sysdig's Threat Research Team in July 2026, assessed as the first confirmed end-to-end autonomous ransomware operation directed by a large language model (LLM) rather than a human operator at each step. The attack exploited CVE-2025-3248, a critical unauthenticated remote code execution flaw in the Langflow AI workflow platform, and the LLM agent autonomously conducted reconnaissance, swept for cryptocurrency wallet private keys and seed phrases alongside other credentials, moved laterally, encrypted a production database, and delivered a ransom demand — all without human direction of individual steps. A follow-on variant named ENCFORGE, attributed to the same operator, subsequently targeted AI model weights and training datasets on Langflow-exposed hosts, and approximately 1,050 Langflow instances remained publicly reachable at time of Sysdig's disclosure.","timeline":[{"date":"2025-04-01","event":"Langflow releases version 1.3.0, patching CVE-2025-3248 (unauthenticated RCE via /api/v1/validate/code endpoint, CVSS 9.8).","source":"BleepingComputer / Sysdig","source_url":"https://www.bleepingcomputer.com/news/security/cisa-orders-feds-to-patch-actively-exploited-langflow-rce-flaw/"},{"date":"2025-05-05","event":"CISA adds CVE-2025-3248 to the Known Exploited Vulnerabilities (KEV) catalog and directs federal agencies to patch.","source":"The Hacker News","source_url":"https://thehackernews.com/2026/07/cisa-adds-4-actively-exploited-adobe.html"},{"date":"2025-08-01","event":"Anthropic discloses a real extortion campaign using Claude Code against 17 or more organizations — early evidence of LLM-assisted malicious operations at scale.","source":"The Hacker News","source_url":"https://thehackernews.com/2026/07/ai-agent-exploits-langflow-rce-to.html"},{"date":"2025-11-01","event":"Anthropic reports a Chinese state-linked operation conducting largely autonomous cyberattacks using LLM agents.","source":"The Hacker News","source_url":"https://thehackernews.com/2026/07/ai-agent-exploits-langflow-rce-to.html"},{"date":"2026-06-01","event":"JADEPUFFER attack against a live production system takes place in late June 2026, exploiting CVE-2025-3248 in an internet-facing Langflow instance. The LLM agent conducts full reconnaissance, credential harvesting (including crypto wallet keys and seed phrases), lateral movement to a Nacos/MySQL server, and encrypts 1,342 production configuration records.","source":"Sysdig Threat Research Team","source_url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"date":"2026-07-01","event":"Sysdig publishes its initial JADEPUFFER analysis, describing the operation as the first documented fully agentic ransomware campaign. Approximately 1,050 to 7,000 Langflow instances remain publicly reachable at this date.","source":"Sysdig","source_url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"date":"2026-07-03","event":"The same JADEPUFFER operator returns with a new compiled Go ransomware binary (ENCFORGE), exploiting the same Langflow CVE and escaping via Docker socket to target AI model files (PyTorch, SafeTensors, GGUF, FAISS, Parquet, etc.) on the host filesystem.","source":"Sysdig","source_url":"https://www.sysdig.com/blog/jadepuffer-evolves-the-agentic-threat-actor-deploys-ransomware-built-to-destroy-ai-models"},{"date":"2026-07-13","event":"TechTimes publishes analysis of what comes after JADEPUFFER, describing the lowered ransomware skill floor and anticipated increase in agentic campaigns.","source":"TechTimes","source_url":"https://www.techtimes.com/articles/320390/20260713/agentic-ransomware-real-getting-cheaper-what-comes-after-jadepuffer.htm"},{"date":"2026-07-21","event":"Sysdig publishes its ENCFORGE follow-on report detailing the compiled Go ransomware binary targeting AI model infrastructure, confirming operator continuity via the shared Proton Mail address.","source":"Sysdig","source_url":"https://www.sysdig.com/blog/jadepuffer-evolves-the-agentic-threat-actor-deploys-ransomware-built-to-destroy-ai-models"},{"date":"2026-07-26","event":"Latest Hacking News and Help Net Security publish detailed analyses of ENCFORGE, including SHA-256 hashes, C2 infrastructure, and mitigation guidance.","source":"Latest Hacking News","source_url":"https://latesthackingnews.com/2026/07/26/encforge-ransomware-langflow-ai-models/"}]},"v":1}

   Verify offline (run on your own machine)

   python -m src.verify_decision e54cfe11-afd4-4cf1-a378-d4435610dfbacopy