Aoki Infostealer Expands Its Haul to AI Assistants

Amber | Attack
Aoki Infostealer Expands Its Haul to AI Assistants | Hive Pro Threat Advisory
Threat Advisory/Attack Report/TA2026305

Aoki Infostealer Expands Its Haul to AI Assistants

Aoki is a new and fast-evolving infostealer with an unknown operator. It has moved past passwords and crypto wallets to grab one of the most valuable prizes on a developer’s machine: the keys to AI coding assistants like Claude, ChatGPT, Codex, Cursor, and GitHub Copilot.

AokiAttack reportWindows
Published
October 19, 2026
Admiralty code
A1
TA number
TA2026305
First seen
2026
Report type
Attack
Malware
Aoki
Products
Claude +42
Platform
Windows
Regions
Worldwide

01 / Overview

Summary

First Seen
2026
Targeted Regions
Worldwide
Targeted Platform
Windows
Targeted Products
Claude, ChatGPT, OpenAI Codex, Cursor, GitHub Copilot, Google Gemini, JetBrains AI Assistant, Kiro, Codeium, Amazon Web Services (AWS), Web Browsers, Cryptocurrency Wallets, Discord, Telegram, Steam, Roblox, Epic Games, Battle.net, Riot, Minecraft, GOG, Origin, Ubisoft, Microsoft Outlook, Mozilla Thunderbird, FileZilla, WinSCP, CoreFTP, FlashFXP, SmartFTP, OpenVPN, NordVPN, ProtonVPN, PIA, Surfshark, Windscribe, KeePass, Bitwarden, 1Password, Dashlane, RoboForm, NordPass, Sticky Password
Malware
Aoki (aka Aokigahara)

Aoki is a new and fast-evolving infostealer with an unknown operator. It has moved past passwords and crypto wallets to grab one of the most valuable prizes on a developer’s machine: the keys to AI coding assistants like Claude, ChatGPT, Codex, Cursor, and GitHub Copilot. With those tokens in hand, attackers can work as the developer, move into repositories, cloud accounts, and CI/CD pipelines, and run up AI bills through LLMjacking. That makes every compromised workstation a possible gateway to the wider software supply chain.


02 / Analysis

Attack Details

#1

Aoki, also known as Aokigahara, is an information stealer first seen in 2026 and still under active development. It has no known links to other malware families, and nobody knows who is behind it. How it reaches victims and which regions or industries it targets has not been disclosed. Once it runs, Aoki does not take commands from an attacker. It simply collects every piece of data it can from the infected machine. It also notes which security products are installed, so its operators can see what defenses each victim has.

#2

What stands out in the newest versions is that they steal credentials from AI coding assistants. Aoki takes login tokens, session cookies and configuration secrets for Claude, ChatGPT, OpenAI Codex, Cursor, GitHub Copilot, Google Gemini, JetBrains AI Assistant, Kiro and Codeium, along with AWS credentials. It does not go after source code. Even so, these secrets let an attacker act as the developer. They can reach linked repositories, cloud services and CI/CD pipelines, and run up AI usage charges on the victim's account (known as LLMjacking).

#3

Aoki also steals the usual infostealer targets. These include data saved in around 50 web browsers, cryptocurrency wallets, Discord and Telegram accounts, and gaming platforms such as Steam and Roblox. It also takes email credentials, saved FTP and VPN details, and password manager data.


03 / Response

Recommendations

  1. 01
    Rotate AI Assistant Keys and Tokens
    On any host suspected of Aoki infection, revoke and reissue API keys, OAuth tokens, and session tokens for Claude, ChatGPT, OpenAI Codex, Cursor, GitHub Copilot, Gemini, JetBrains AI Assistant, Kiro, and Codeium, and force sign-out of active desktop and browser sessions.
  2. 02
    Rotate Cloud and Pipeline Credentials
    Revoke AWS access keys and any secrets stored in .env or config.toml files on affected developer machines, then review repository, cloud, and CI/CD audit logs for activity performed with the stolen identities.
  3. 03
    Block Aoki Network Infrastructure
    Add the listed domains and /gate URLs to DNS, proxy, and firewall blocklists, and alert on outbound HTTP POST requests to /gate paths or to unfamiliar .cc and .surf domains.
  4. 04
    Monitor AI API Usage for LLMjacking
    Set usage alerts, spend caps, and anomaly detection on AI provider accounts so that sudden spikes in consumption or requests from unexpected locations are caught quickly.
  5. 05
    Enforce Application Control on Developer Workstations
    Apply allowlisting so that unsigned or unknown executables cannot run on machines that hold privileged AI, source control, and cloud credentials.
  6. 06
    Bind Sessions to Strong Authentication
    Require phishing-resistant MFA on code hosting, cloud, and AI platforms, and favour providers' session binding features so stolen cookies cannot be easily replayed.

04 / Indicators

Indicators of Compromise (IoCs)

TypeValue
SHA256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dobeqnesmot[.]cc
hjazfioe[.]surf
neihite[.]cc
URLs
hxxps[:]//dobeqnesmot[.]cc/gate
hxxps[:]//hjazfioe[.]surf/gate
hxxps[:]//neihite[.]cc/gate

05 / Mapping

MITRE ATT&CK TTPs

Defense Evasion
T1140 Deobfuscate/Decode Files or Information
Discovery
T1518 Software Discovery
T1518.001 Security Software Discovery
T1217 Browser Information Discovery
Credential Access
T1555 Credentials from Password Stores
T1555.003 Credentials from Web Browsers
T1555.005 Password Managers
T1552 Unsecured Credentials
T1552.001 Credentials In Files
T1552.002 Credentials in Registry
T1539 Steal Web Session Cookie
T1528 Steal Application Access Token
Collection
T1005 Data from Local System
Command and Control
T1071 Application Layer Protocol
T1071.001 Web Protocols
T1571 Non-Standard Port
Exfiltration
T1041 Exfiltration Over C2 Channel
Impact
T1496 Resource Hijacking
T1496.004 Cloud Service Hijacking

06 / Sources

References & Patch Links

References

What Next?

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