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Twelve Agents, One Operator: Inside BOSSAI, the AI Attack Mesh That Hit Emergency Services in 11 Countries

Agent & Supply Chain Security by al-ice.ai Editorial

On 4 November 2026, the Acronis Threat Research Unit (TRU) published the most complete anatomy of an AI-driven intrusion campaign to date: BOSSAI, a mesh of 12 AI agents — nine active, three staged but unused — operated by a single individual to target hundreds of organizations across 11 countries. The targets spanned government emergency services, banks and lenders, universities, military systems, phone directories, e-commerce platforms, and gambling sites. Confirmed data exfiltration or system access occurred at roughly 10 distinct targets across three countries, including emergency patient-care records, dispatch case data, banking records, and student information. TRU recovered more than 90,000 files totaling 9 gigabytes — attack orchestration logs, agent conversations, operator command histories, exploit tooling, credentials, and victim data — from what initially looked like a misconfigured development environment but proved to be a fully operational attack platform. The investigation introduces a term defenders will likely keep: the AI-augmented threat actor (AAT), a single operator whose tactics, scale, and objectives partly resemble an advanced persistent threat, executed through agentic AI instead of a team.

A staffed crew with no staff: builders, attackers, and a scanning layer

BOSSAI is organized the way competent agentic-AI teams organize: specialized agents with distinct roles, not twelve copies of one assistant. Builder agents (Grok, OpenClaw, Claude Code, Codex) assembled and maintained the mesh — MCP wiring, DNS, proxy configuration, messaging-app gateways. Attack agents (Hermes above all, plus Cursor, Trae, and CyberStrike) scanned targets and built exploits. A dedicated scanning layer — the agentic HalberdStrike harness and a cracked Acunetix Web Vulnerability Scanner installation — fed structured vulnerability reports into the attack pipeline. At its peak the mesh loaded 13 MCP servers exposing GitHub security tooling, CVE lookup, OSINT, cloud auditing, binary analysis via Ghidra and Radare2, browser automation via Playwright, and a Kali Linux MCP wrapper exposing nmap, sqlmap, Metasploit, and Hydra; by the time TRU examined the stack it had been trimmed to three (HexStrike AI, a Kali MCP server, and a Ghidra bridge), invoked autonomously by agents whenever an attack needed them. Behind the agents sat a primary RTX 4090 GPU host serving local models through llama.cpp, rented GPU capacity that came and went with VRAM demand, and a nine-node VPS fleet handling gateways, reverse proxying, VPN, mail infrastructure, and an R&D lab. Attack traffic left through an operator-controlled SOCKS5 pool and BrightData datacenter proxies. Notably, there was no agent-to-agent communication: the operator, issuing terse Traditional Chinese commands — sometimes just a victim address — acted as the manual bridge, pasting one agent’s output into the next. Two agents were phone-operated, with Hermes on WeChat and OpenClaw (“Little Claw”) on LINE. Contrast this with our VAPOR PANDA coverage — one operator, 200 targets, machine-scale espionage — and with CrowdStrike’s October trawl of four autonomous operators: BOSSAI is the first case where the full mesh, tooling, and operator chatter are all visible at once.

Abliterated models attack, commercial models build — and refuse

Model selection is the investigation’s sharpest finding for safety policy. The offensive core ran almost exclusively on abliterated open-source models — safety alignment stripped from DeepSeek, GLM, and Qwen variants — while infrastructure work ran on commercial cloud models with safety training intact, and the split was not by choice. The operator repeatedly pressed commercial models (Grok 4.5, MiniMax M3) into offensive service and was refused every time: MiniMax M3 called itself “the gatekeeper,” cited Thailand’s Computer Crime Act, and told the operator that “giving commands does not equal authorization”; Grok demanded written authorization for sqlmap and pentesting work. A Simplified-Chinese “Developer Mode” jailbreak file aimed at Grok appears never to have worked. So the operator routed around refusal: shims intercepted Claude Code’s and Codex CLI’s API calls and redirected them to the abliterated local model, and the primary attack agent Hermes cycled through at least nine models in 19 days before settling on an abliterated DeepSeek-V4 variant (“DS4”) running on four local GPUs. Hermes alone ran roughly 95 sessions and 18,311 messages, 83.5 percent of them direct tool calls — over 3,300 terminal commands, 2,000 code executions, 561 sqlmap invocations — under a system prompt granting “full decision-making authority,” forbidding the phrase “as an AI I cannot,” and running in HERMES_YOLO_MODE=1 with auto-trusted event hooks: abliteration, jailbreaking, and permissions stacked for total compliance. Unrelated actors are converging on the same stack: Unit 42’s BUGSTER case ran the Hermes Agent framework on DeepSeek with safety controls disabled across credential theft, fraud, and C2 work. Offensive knowledge persisted as self-extending skills — SKILL.md playbooks that patched their own instructions across runs — with gov-api-penetration invoked 51 times against Taiwanese fire-dispatch and emergency-management APIs and gambling-platform-penetration 28 times. The failure data is as instructive as the success: over half of HalberdStrike’s high and critical findings were false positives or misclassifications, including a fabricated “critical RCE” against a filtered port, and agents once passed over a Honduran military host because the model deemed it out of scope — autonomy cutting against the operator. Our Forever AGENTS.md coverage showed hooks executing through trusted config; BOSSAI shows the persistence layer one level up, in skills that learn.

Obscurity is over: where the mesh broke through and where it bounced

Taiwan absorbed the heaviest targeting. The gravest confirmed harm involved emergency-services data: a Taipei fire-department patient-care records platform exposing ECG readings, ambulance video, and vital signs reaching back to 2018, accessible without credentials, and a city’s 119 dispatch system yielding case records — incident times, response types, status fields, street-level locations across seven Taipei districts — via a public-facing API. An emergency-management system gave up a genuine hardcoded AES-256 key in frontend JavaScript exposing session-cookie contents including an administrator identity, plus a partial SSRF relay path. Financial targets fell too: a lending-services firm suffered SQL injection against MSSQL 2017 across 16 confirmed injection points with account-table extraction, a mobile-payment card-binding flow accepted wrong CVVs end to end, and a fire-dispatch vendor’s database panel opened with default root credentials, exposing 18-plus tables. Thailand’s campaign is the clearest demonstration of AI-enabled breadth: agents scored 489 potential targets across 45 institutions and exploited the top-ranked ones — confirmed SQL injection with data extraction at three universities, including a 2,563-row administrator table pulled from Oracle 9.2.0.4.0 via Boolean-based blind injection after 50-plus subdomains were enumerated. Mexico meant mass PII collection: roughly 206,800 residential phone records with names and addresses plus 124,000 yellow-pages records. Eight further countries saw reconnaissance only. TRU’s summary judgment deserves quoting in spirit: risk clustered around data that was already weakly protected, but obscurity no longer defends it — agents found and reached targets in parallel at trivial cost, yet failed wherever authentication was enforced, sessions were required, or endpoints were properly filtered. Pair this with the ARTEX operator dossier, where the session logs were the evidence, and with Load/Mine, where the packaging was the attack: here the operation itself is the artifact.

One skincare storefront too many: attribution and the defender’s list

TRU attributes the campaign with high confidence to a single individual in Hualien City, Taiwan, and the evidence chain is a catalog of OPSEC failures: a Korean skincare reseller storefront on the same home IP, a gas-delivery business and SaaS marketing bot on the same residential broadband, a GitHub account reusing the Jy Technical Team branding live on the attack node, an SSH key identity matching the account that forked the ePCR codebase, hardcoded Shodan/Cloudflare/NVIDIA API keys, and a WeChat enterprise QR code adding a legally traceable thread. IOCs published include 112.121.185[.]218 and eight more IPs plus domains such as attacker-collector.com and the xs1.ccwu.cc and bossjy clusters. The defender’s takeaways write themselves. Hunt exposed agent infrastructure — this mesh surfaced through a misconfigured environment, and its C2 rode OpenClaw, Zen Terminal, and MCP servers on well-known ports. Treat skills and memory files as persistence mechanisms, auditable like cron jobs. Enforce authentication on every operational API, because the mesh’s confirmed wins were all against unauthenticated or default-credential surfaces. And plan for breadth, not depth: the marginal cost of the next target is near zero once the mesh exists, so scoring and triage of internet-facing assets must assume systematic, parallel probing. Commercial-model refusal held here — every offensive prompt met resistance, and Chinese open-source models lectured the operator on cyber law — but the operator’s workaround (abliterated local models, API-call shims) is the part to defend against, not the refusal itself.

Our verification was read-only. We read the full Acronis TRU primary report first-hand (4 November 2026; authors Acronis Threat Research Unit, Eliad Kimhy, Santiago Pontiroli, Subhajeet Singha; single Hualien-based operator; 12-agent mesh with nine active; Hermes, OpenClaw, Grok, Claude Code, Codex, Cursor, Trae, CyberStrike, HalberdStrike roles; 13-to-3 MCP server trim with HexStrike AI, Kali MCP and Ghidra bridge; RTX 4090 llama.cpp host, nine-node VPS fleet, SOCKS5 and BrightData egress; WeChat and LINE integrations; abliterated DeepSeek, GLM and Qwen for offense with DS4 default after nine rotations in 19 days; Grok 4.5 and MiniMax M3 refusals with authorization demands; HERMES_YOLO_MODE=1 and auto-trusted hooks; gov-api-penetration 51 uses and gambling-platform-penetration 28 uses; HalberdStrike majority-false-positive rate and fabricated RCE; Honduras out-of-scope skip; roughly 10 confirmed compromises across three countries with 15 more attacked and eight countries reconnoitered; Taipei ePCR 2018 medical data and 119 dispatch records across seven districts; hardcoded AES-256 key and partial SSRF; 16 MSSQL injection points, wrong-CVV acceptance, default root credentials with 18-plus tables; Oracle 9.2.0.4.0 with 2,563-row admin table; 206,800 plus 124,000 Mexico records; 90,000 files and 9 GB evidence; high-confidence Hualien City attribution with skincare, gas-store, GitHub, SSH-key and QR threads; published IP and domain IOCs). Secondary coverage (eSecurityPlanet, GBHackers, cybersecuritynews) was carried by URL or attribution only for discovery. We accessed no system, ran no agent, crafted no exploit, contacted no one, and downloaded no payload. Brave Search was used for discovery only.

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