The Rise of LLMJacking: How Threat Actors Monetize Compromised Cloud and Model Resources

    Date: 11/04/2026

    Severity: High

    Summary

    The team investigated multiple incidents in 2026 involving threat actors hijacking enterprise access to Large Language Models (LLMs), a technique known as LLMJacking. These attacks affected organizations across North America, South America, and Asia Pacific, spanning financial services, retail, technology, and transportation sectors. Unlike cryptojacking, LLMJacking can generate significant fraudulent cloud expenses within a short period. In some incidents, unauthorized usage exceeded $100,000 in a single day, with cumulative charges reaching $1 million at certain organizations before access was revoked. 

    Indicators of Compromise (IOC) List

    Domains/URLs

    jet-night.com

    newapi.pro

    Hash

    104.21.3.227

    172.67.153.189

    172.67.163.109

    104.21.57.112

    103.120.80.6

    Gurucul Threat Detection and Incident Response (TDIR) Queries for Detection    

    Detection Query 1 :

    domainname like "newapi.pro" or url like "newapi.pro" or siteurl like "newapi.pro" or domainname like "jet-night.com" or url like "jet-night.com" or siteurl like "jet-night.com"

    Detection Query 2 :

    dstipaddress IN ("104.21.57.112","172.67.163.109","103.120.80.6","172.67.153.189","104.21.3.227") or srcipaddress IN ("104.21.57.112","172.67.163.109","103.120.80.6","172.67.153.189","104.21.3.227")

    Reference:   

    LLMJacking Drives Million-Dollar Cloud Cost Abuse                                                                   


    Tags

    Threat ActorLLMsAINorth AmericaSouth AmericaFinancial ServicesCryptohijackingInformation TechnologyTransportation SystemsCloud Infrastructure

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