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Every state-changing event for JADEPUFFER: 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.
- #1publishby system:backfill2026-08-06 23:47:13ZScore: ? → ? (no score change)anchorpending
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{"actor":"system:backfill","investigation_id":"5ff2d8a2-70bd-433c-84c9-c3bbd2752ac5","kind":"publish","page_slug":"jadepuffer","published_at":"2026-08-06T23:47:13.012Z","sequence_num":1,"snapshot":{"content_type":"investigation","entity_name":"JADEPUFFER","sections":[{"content":"Sysdig's Threat Research Team coined the designation JADEPUFFER and classified the operator as an Agentic Threat Actor (ATA) — defined as an adversary whose attack capability is delivered end-to-end by an AI agent rather than by human-driven tooling. The research team documented what it assessed as the first complete extortion operation driven by a large language model, from initial access through encryption and ransom note deployment, without observed human intervention at the execution layer. Attribution beyond the ATA classification has not been established. No nation-state nexus, criminal ransomware affiliate program, or individual identity has been publicly linked to JADEPUFFER as of August 2026. The operator remains unattributed.","heading":"Threat Actor Classification","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":"Sysdig clocks first documented case of agentic ransomware — CyberScoop","type":"news_article","url":"https://cyberscoop.com/sysdig-judepuffer-ai-agentic-ransomware-attack/"}]},{"content":"JADEPUFFER's persistent entry vector across both documented campaigns is CVE-2025-3248, a missing-authentication remote code execution vulnerability in Langflow, an open-source framework for building and orchestrating LLM applications. The flaw, rated CVSS 9.8 (critical), affects Langflow versions prior to 1.3.0 and is located in the /api/v1/validate/code endpoint, which passes user-supplied Python to exec() without authentication or sandboxing. CISA added CVE-2025-3248 to its Known Exploited Vulnerabilities catalog on May 5, 2025, noting prior exploitation by the Flodrix botnet. The vulnerability was fixed in Langflow v1.3.0. A separate critical vulnerability, CVE-2026-9198 (CVSS 9.8), was added to the CISA KEV catalog on August 4, 2026, with a remediation deadline of August 7, 2026 for federal civilian agencies; this later flaw affects IBM Langflow OSS versions 1.0.0 through 1.10.0 and chains the /api/v1/auto_login endpoint (which mints superuser tokens to any network caller) with the same validate/code execution path.","heading":"Initial Access Vector: CVE-2025-3248 (Langflow RCE)","severity":"critical","sources":[{"credibility":1,"name":"CISA Adds One Known Exploited Vulnerability to Catalog (CVE-2025-3248) — CISA","type":"regulatory","url":"https://www.cisa.gov/news-events/alerts/2025/05/05/cisa-adds-one-known-exploited-vulnerability-catalog"},{"credibility":1,"name":"CISA Adds Three Known Exploited Vulnerabilities to Catalog (CVE-2026-9198) — CISA","type":"regulatory","url":"https://www.cisa.gov/news-events/alerts/2026/08/04/cisa-adds-three-known-exploited-vulnerabilities-catalog"},{"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":"CISA Flags Langflow RCE, Tomcat, and N-central Flaws as Actively Exploited — The Hacker News","type":"news_article","url":"https://thehackernews.com/2026/08/cisa-flags-langflow-rce-tomcat-and-n.html"}]},{"content":"The first documented JADEPUFFER campaign, disclosed by Sysdig on approximately July 2–3, 2026, targeted an internet-exposed Langflow instance. After gaining initial code execution via CVE-2025-3248, the LLM agent delivered base64-encoded Python payloads through the Langflow RCE endpoint. The agent conducted reconnaissance, harvested API credentials (including keys for OpenAI, Anthropic, DeepSeek, and Gemini) and cloud provider credentials, enumerated MinIO object storage using default credentials (minioadmin:minioadmin), and used MySQL file primitives for container-escape reconnaissance. The agent then pivoted to a Nacos configuration management server by exploiting CVE-2021-29441, an authentication bypass vulnerability from 2021. Exploiting a well-known default JWT signing key, the agent forged administrative tokens and injected a backdoor admin account directly into the Nacos MySQL database using bcrypt password hashing. It then encrypted all 1,342 Nacos service configuration items using MySQL's AES_ENCRYPT function, dropped the original tables to prevent recovery, and created an extortion table named README_RANSOM containing a ransom demand, a Bitcoin address (3J98t1WpEZ73CNmQviecrnyiWrnqRhWNLy), and a ProtonMail contact address (e78393397@proton.me). A cron-based persistence mechanism beaconed to 45.131.66.106 on port 4444 every 30 minutes. The operation demonstrated real-time adaptive behavior: after a failed Nacos admin login, the agent diagnosed a subprocess PATH issue and issued a working corrected payload within 31 seconds. Payloads throughout contained extensive natural-language annotations explaining targeting rationale, behavior researchers characterize as a signature of LLM-generated code rather than human-authored scripts. The encryption key was generated as random UUID bytes, printed once to stdout, and never persisted or transmitted — rendering victim data unrecoverable regardless of any ransom payment.","heading":"Phase 1 Attack: Automated Database Extortion (July 2026)","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":"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/"}]},{"content":"Following Sysdig's public disclosure on July 3, 2026, JADEPUFFER returned to the same Langflow instance with a materially upgraded capability. The operator staged ENCFORGE, a compiled, UPX-packed Go ransomware binary designed specifically to destroy AI and machine learning infrastructure. ENCFORGE targets approximately 180 file extensions across the modern ML stack, including model checkpoints (.ckpt, .h5, .onnx, .pb, .pkl, .pt, .pth, .safetensors, .ggml, .gguf), vector database files (.faiss), training datasets (.arrow, .feather, .parquet, .tfrecord, .npy, .npz), and credential and developer files on macOS (.keychain, .keychain-db, .xcodeproj). The binary implements AES-256-CTR plus RSA-2048 key encapsulation and uses region-based partial encryption, renaming files with a .locked extension. The CLI supports an --include flag for operator-appended custom extensions. When direct binary fetch failed, the JADEPUFFER agent autonomously pivoted to building a container escape through procfs and /var/run/docker.sock access, completing the escape pipeline in five minutes and 24 seconds across six Python script iterations. The second campaign used a new C2 at 34.153.223.102 (GCP) on port 9191, while the initial C2 IP 45.131.66.106 (AS49453, Netherlands) remained in use. The same ProtonMail contact address (e78393397@proton.me) appeared in both campaigns, providing a linkage indicator. The binary's internal project name was identified as 'encfile', with a companion tool named 'keyforge'. Estimated recovery costs for a production fine-tuned AI model range from $75,000 to $500,000, according to Sysdig's assessment of GPU compute and engineering labor costs.","heading":"Phase 2 Attack: ENCFORGE and AI Infrastructure Targeting (Late July 2026)","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 agentic attacks now target AI model data with ransomware — BleepingComputer","type":"news_article","url":"https://www.bleepingcomputer.com/news/security/jadepuffer-agentic-attacks-now-target-ai-model-data-with-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/"}]},{"content":"The ransom note deployed in JADEPUFFER's Phase 1 campaign cited the Bitcoin address 3J98t1WpEZ73CNmQviecrnyiWrnqRhWNLy. Blockchain analysis found 737 recorded transactions against this address with a historical balance of approximately 46 BTC and a zero balance at time of review. Researchers identified this address as the canonical Pay-to-Script-Hash example address embedded throughout Bitcoin's official developer documentation and the Bitcoin Core repository, saturating LLM training corpora. Investigators could not determine with certainty whether the address was hallucinated by an under-constrained model drawing from training data, selected by a human operator who did not expect payment, or included through negligence. The existing 737 transactions are assessed to originate from years of unrelated tutorial scripts, test transactions, and documentation examples rather than ransom payments associated with this campaign. Critically, the Phase 1 encryption key was generated as random UUID bytes, printed to stdout once, and never stored or transmitted — meaning victims' data was unrecoverable even if a ransom payment were successfully delivered. This design flaw is consistent with either an autonomous agent operating without human supervisory review of its encryption implementation, or with deliberate sabotage of the ransom mechanics.","heading":"Ransom Mechanics and Bitcoin Address Analysis","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":"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":"JADEPUFFER: The First Fully Autonomous Ransomware Agent — Cloud Security Alliance Labs","type":"research","url":"https://labs.cloudsecurityalliance.org/research/csa-research-note-jadepuffer-agentic-ransomware-langflow-202/"}]},{"content":"Sysdig researchers identified multiple behavioral characteristics that distinguish JADEPUFFER's payloads from typical human-authored attack tooling. Attack payloads throughout both campaigns contained extensive natural-language annotations explaining the agent's targeting rationale, decision logic, and planned next steps — behavior that LLM-generated code produces reflexively but human operators authoring disposable attack scripts do not. The agent exhibited structured task completion markers, issuing explicit statements upon completing sub-tasks (such as container-escape testing) before advancing to the next phase, consistent with hierarchical task planning by an LLM framework. Adaptive failure correction was observed without human intervention: after MinIO returned XML instead of the expected JSON, the subsequent payload immediately adapted its parser; after a Nacos admin creation failed silently, the agent diagnosed a subprocess PATH issue and switched to a direct bcrypt import within 31 seconds. The Phase 2 campaign produced six distinct Python script iterations in five minutes and 24 seconds to achieve container escape, indicating iterative LLM-driven problem-solving rather than scripted fallback execution. The identical ProtonMail contact address across both campaigns provides a persistent operator linkage, though it does not resolve the question of human versus automated operation at the strategic layer. As of August 2026, no human operator identity has been established.","heading":"Indicators of LLM-Driven Operation","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":"Agentic ransomware attacks show LLM narrating its own intent the entire way — Biometric Update","type":"news_article","url":"https://www.biometricupdate.com/202607/agentic-ransomware-attacks-show-llm-narrating-its-own-intent-the-entire-way"},{"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"}]},{"content":"Phase 1 network infrastructure included C2 endpoint 45.131.66.106 (port 4444, AS49453, Netherlands) and staging server 64.20.53.230 (InterServer, AS19318). Persistence was maintained via a cron entry invoking Python urllib requests every 30 minutes. Phase 2 introduced a new C2 at 34.153.223.102 (Google Cloud Platform) on port 9191, with the ENCFORGE binary staged at hxxp://34.153.223.102:9191/.lockd. ENCFORGE SHA-256 hashes: packed binary 8cb0c223b018cecef1d990ec81c67b826eb3c30d54f06193cf69969e9a8baea2; unpacked binary ea7822eac6cecef7746c606b862b4d3034856caf754c4cf69533662637905328. The RSA-2048 DER public key SHA-256 is 2378bf45bb54fb2defc460063c9b43e09870741b62692b7f6acbc3cd7898bb3. Campaign tracking identifiers embedded in ENCFORGE include --task-id gcp_h1 and gcp_test. Ransom contact email e78393397@proton.me is consistent across both campaigns.","heading":"Infrastructure and IOCs","severity":"high","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":"JADEPUFFER: Agentic ransomware for automated database extortion — Sysdig","type":"research","url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"}]},{"content":"CISA added CVE-2025-3248 to its Known Exploited Vulnerabilities catalog on May 5, 2025, prior to the JADEPUFFER campaigns, and issued orders for federal agencies to patch. Following the JADEPUFFER disclosure, CISA added CVE-2026-9198, a distinct but related Langflow RCE vulnerability (CVSS 9.8), to the KEV catalog on August 4, 2026, setting an August 7, 2026 remediation deadline for federal civilian executive branch agencies. The August 2026 KEV addition marked the first time CISA had listed an AI agent platform vulnerability on the catalog. No public law enforcement action, FBI investigation, indictment, or arrest has been announced in connection with JADEPUFFER as of August 6, 2026.","heading":"Regulatory and Government Response","severity":"high","sources":[{"credibility":1,"name":"CISA Adds One Known Exploited Vulnerability to Catalog (CVE-2025-3248) — CISA","type":"regulatory","url":"https://www.cisa.gov/news-events/alerts/2025/05/05/cisa-adds-one-known-exploited-vulnerability-catalog"},{"credibility":1,"name":"CISA Adds Three Known Exploited Vulnerabilities to Catalog (CVE-2026-9198) — CISA","type":"regulatory","url":"https://www.cisa.gov/news-events/alerts/2026/08/04/cisa-adds-three-known-exploited-vulnerabilities-catalog"},{"credibility":2,"name":"CISA Adds First AI Agent Platform to KEV, Sets Thursday Deadline for 4 CVEs — TechTimes","type":"news_article","url":"https://www.techtimes.com/articles/319918/20260708/cisa-adds-first-ai-agent-platform-kev-sets-thursday-deadline-4-cves.htm"}]},{"content":"JADEPUFFER is assessed by multiple independent security researchers and outlets as representing a qualitative shift in ransomware operations. Prior documented instances of LLM use in cyberattacks involved AI-assisted script generation or phishing content, with human operators retaining execution control. JADEPUFFER is the first publicly documented case in which an LLM agent independently executed the complete technical attack chain without observed human intervention at each step. The emergence of ENCFORGE as AI-infrastructure-specific ransomware signals a deliberate pivot toward high-value, difficult-to-recover targets. Sysdig noted that Langflow instances are particularly attractive targets because they commonly hold LLM API keys, cloud credentials, and direct connections to vector databases and object stores, making them high-value orchestration hubs for lateral movement. The estimated recovery cost for a production fine-tuned model is $75,000 to $500,000 per model. The broader threat research community has observed that agentic ransomware capabilities are becoming cheaper and more accessible over time. JADEPUFFER has not been linked to any known prior ransomware group, affiliate network, or nation-state actor.","heading":"Broader Context and Industry Significance","severity":"medium","sources":[{"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 emergence of Agentic AI in ransomware operations — Mishcon de Reya","type":"news_article","url":"https://www.mishcon.com/news/jadepuffer-the-emergence-of-agentic-ai-in-ransomware-operations"},{"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/"}]},{"content":"Sysdig's Threat Research Team and CISA have issued the following mitigation guidance in connection with JADEPUFFER and the exploited vulnerabilities. Organizations running Langflow should immediately upgrade to a patched version (v1.3.0 or later for CVE-2025-3248; v1.10.1 or later for CVE-2026-9198) and remove or firewall public-facing execution endpoints. All credentials stored in or accessible from Langflow instances — including LLM API keys, cloud provider credentials, MinIO and object store keys, and database root passwords — should be rotated immediately and migrated to dedicated secret managers. Default credentials on co-hosted services (MinIO, Nacos, MySQL) must be changed. Database root access should be restricted to the minimum necessary principals. AI and ML infrastructure teams are specifically advised to treat vector databases, model checkpoint storage, and training dataset repositories as high-value targets requiring equivalent protections to production databases.","heading":"Mitigation and Defense Recommendations","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":2,"name":"AI Security Incident Case: JadePuffer Ransomware Leverages AI Agent to Automate Attacks — NSFOCUS","type":"research","url":"https://nsfocusglobal.com/ai-security-incident-jadepuffer-ransomware-leverages-ai-agent-to-automate-attacks/"}]}],"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":1,"name":"CISA Adds One Known Exploited Vulnerability to Catalog (CVE-2025-3248) — CISA","type":"regulatory","url":"https://www.cisa.gov/news-events/alerts/2025/05/05/cisa-adds-one-known-exploited-vulnerability-catalog"},{"credibility":1,"name":"CISA Adds Three Known Exploited Vulnerabilities to Catalog (CVE-2026-9198) — CISA","type":"regulatory","url":"https://www.cisa.gov/news-events/alerts/2026/08/04/cisa-adds-three-known-exploited-vulnerabilities-catalog"},{"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":2,"name":"JadePuffer agentic attacks now target AI model data with ransomware — BleepingComputer","type":"news_article","url":"https://www.bleepingcomputer.com/news/security/jadepuffer-agentic-attacks-now-target-ai-model-data-with-ransomware/"},{"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":"Sysdig clocks first documented case of agentic ransomware — CyberScoop","type":"news_article","url":"https://cyberscoop.com/sysdig-judepuffer-ai-agentic-ransomware-attack/"},{"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: 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":"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":"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 emergence of Agentic AI in ransomware operations — Mishcon de Reya","type":"news_article","url":"https://www.mishcon.com/news/jadepuffer-the-emergence-of-agentic-ai-in-ransomware-operations"},{"credibility":2,"name":"JADEPUFFER: The First Fully Autonomous Ransomware Agent — Cloud Security Alliance Labs","type":"research","url":"https://labs.cloudsecurityalliance.org/research/csa-research-note-jadepuffer-agentic-ransomware-langflow-202/"},{"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 Leverages AI Agent to Automate Attacks — NSFOCUS","type":"research","url":"https://nsfocusglobal.com/ai-security-incident-jadepuffer-ransomware-leverages-ai-agent-to-automate-attacks/"},{"credibility":2,"name":"CISA Adds First AI Agent Platform to KEV, Sets Thursday Deadline for 4 CVEs — TechTimes","type":"news_article","url":"https://www.techtimes.com/articles/319918/20260708/cisa-adds-first-ai-agent-platform-kev-sets-thursday-deadline-4-cves.htm"},{"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":"CISA Flags Langflow RCE, Tomcat, and N-central Flaws as Actively Exploited — The Hacker News","type":"news_article","url":"https://thehackernews.com/2026/08/cisa-flags-langflow-rce-tomcat-and-n.html"},{"credibility":3,"name":"JADEPUFFER: First AI-Driven Agentic Ransomware — hard2bit","type":"news_article","url":"https://hard2bit.com/en/blog/jadepuffer-agentic-ransomware-ai-langflow-nacos/"},{"credibility":3,"name":"Threat Intelligence Report: JADEPUFFER Agentic Ransomware and Automated Extortion — Krypt3ia","type":"community_report","url":"https://krypt3ia.wordpress.com/2026/07/13/threat-intelligence-report-jadepuffer-agentic-ransomware-and-automated-extortion/"},{"credibility":2,"name":"Agentic ransomware attacks show LLM narrating its own intent the entire way — Biometric Update","type":"news_article","url":"https://www.biometricupdate.com/202607/agentic-ransomware-attacks-show-llm-narrating-its-own-intent-the-entire-way"}],"summary":"JADEPUFFER is a threat cluster documented by Sysdig's Threat Research Team in July 2026 and assessed to be the first publicly confirmed example of an agentic AI-driven ransomware operator. The operator exploited CVE-2025-3248, a critical unauthenticated remote code execution flaw in the Langflow AI orchestration framework, deploying a large language model agent that autonomously conducted the full attack lifecycle — from reconnaissance and credential theft to lateral movement, database encryption, and extortion — against production infrastructure. A subsequent campaign introduced ENCFORGE, a compiled Go ransomware purpose-built to destroy AI model checkpoints, vector databases, and training datasets.","timeline":[{"date":"2021-03-01","event":"CVE-2021-29441, a Nacos authentication bypass exploited in Phase 1 of JADEPUFFER, was publicly disclosed.","source":"NVD / Nacos security advisory","source_url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"date":"2025-05-05","event":"CISA added CVE-2025-3248 (Langflow unauthenticated RCE, CVSS 9.8) to its Known Exploited Vulnerabilities catalog, noting prior exploitation by the Flodrix botnet.","source":"CISA","source_url":"https://www.cisa.gov/news-events/alerts/2025/05/05/cisa-adds-one-known-exploited-vulnerability-catalog"},{"date":"2026-07-02","event":"Sysdig Threat Research Team disclosed the first JADEPUFFER campaign: a fully autonomous LLM agent exploited CVE-2025-3248 to access a Langflow instance, pivoted to Nacos via CVE-2021-29441, encrypted 1,342 configuration items, and deployed a ransom note containing Bitcoin address 3J98t1WpEZ73CNmQviecrnyiWrnqRhWNLy.","source":"Sysdig Threat Research Team","source_url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"date":"2026-07-03","event":"Sysdig published public blog post disclosing JADEPUFFER, marking the first publicly documented agentic AI ransomware operation.","source":"Sysdig","source_url":"https://www.sysdig.com/blog/jadepuffer-agentic-ransomware-for-automated-database-extortion"},{"date":"2026-07-08","event":"CISA added Langflow as the first AI agent platform to its KEV catalog with a deadline for federal agencies to patch four CVEs.","source":"TechTimes / CISA","source_url":"https://www.techtimes.com/articles/319918/20260708/cisa-adds-first-ai-agent-platform-kev-sets-thursday-deadline-4-cves.htm"},{"date":"2026-07-13","event":"Independent threat intelligence reports on JADEPUFFER published, noting the operator remained unattributed and the Bitcoin address was identified as a canonical documentation example.","source":"Krypt3ia / Security Affairs","source_url":"https://krypt3ia.wordpress.com/2026/07/13/threat-intelligence-report-jadepuffer-agentic-ransomware-and-automated-extortion/"},{"date":"2026-07-17","event":"IBM disclosed CVE-2026-9198, a new critical Langflow RCE vulnerability (CVSS 9.8) affecting versions 1.0.0 through 1.10.0, patched in v1.10.1.","source":"SecurityWeek / IBM","source_url":"https://www.securityweek.com/cisa-warns-of-exploited-langflow-n-central-and-tomcat-vulnerabilities/amp/"},{"date":"2026-07-21","event":"Sysdig disclosed the second JADEPUFFER campaign: the operator returned to the same Langflow instance and deployed ENCFORGE, a compiled Go ransomware built to encrypt AI model checkpoints, vector databases, and training datasets across approximately 180 file extensions.","source":"Sysdig / Help Net Security","source_url":"https://www.helpnetsecurity.com/2026/07/21/jadepuffer-encforge-ransomware/"},{"date":"2026-08-04","event":"CISA added CVE-2026-9198 to the KEV catalog with an August 7, 2026 remediation deadline for federal civilian agencies, representing the first AI agent platform CVE listed in the catalog.","source":"CISA","source_url":"https://www.cisa.gov/news-events/alerts/2026/08/04/cisa-adds-three-known-exploited-vulnerabilities-catalog"}]},"v":1}Verify offline (run on your own machine)python -m src.verify_decision 899c0df6-30a5-4994-97e6-0957a6582ab1
How verification works. The “Row integrity” check above is computed in your browser — your machine recomputes the SHA-256 of the canonical bytes and compares against the stored hash. No avoid.net server can fake that check. The “full verify” link goes one level deeper: your browser fetches the on-chain transaction from a Solana RPC node and confirms the same hash is in the memo. If you don’t want to trust either avoid.net or the public RPC, run the CLI verifier on your own machine —
python -m src.verify_decision <event_id>.