LLMjacking: AI Model Hijacking Reaches Black Market Scale
LLMjacking, the unauthorized exploitation of cloud-hosted AI resources, has evolved from a proof-of-concept threat into a structured criminal enterprise with active black market operations. Researchers documented a campaign involving 35,000 attack sessions where stolen credentials were resold on underground marketplaces at significant discounts. This shift highlights severe financial risks for organizations, with potential daily losses estimated to exceed $100,000 for those targeting high-capability frontier models.
- ▪Operation Bizarre Bazaar captured 35,000 attack sessions between December 2025 and January 2026, averaging 972 attacks per day against honeypot infrastructure.
- ▪The criminal supply chain includes automated reconnaissance, endpoint validation, and resale via the silver.inc marketplace, which offers unauthorized access to over 30 LLM providers at 40-60% discounts.
- ▪Financial exposure is significant, with estimates ranging from $46,000 per day for AWS Bedrock credential theft to over $100,000 per day when targeting the most capable frontier models.
- ▪A secondary campaign targeting Model Context Protocol server endpoints accounted for 60% of total attack traffic by late January 2026, indicating a new vector for lateral movement into enterprise infrastructure.
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| Original publisher | Lab Space |
| Canonical URL | https://labs.cloudsecurityalliance.org/research/csa-research-note-llmjacking-black-market-ai-model-hijacking/ |
| Publication time | Fri, 11 Sep 2026 20:19:43 +0000 |
| Retrieval time | 2026-09-11T20:33:37.579Z |
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LLMjacking: AI Model Hijacking Reaches Black Market Scale Authors: Cloud Security Alliance AI Safety Initiative Published: 2026-03-15 Categories: AI Security, Cloud Security, Threat Intelligence, Credential Security, Financial Risk Download PDF LLMjacking: AI Model Hijacking Reaches Black Market Scale Cloud Security Alliance AI Safety Initiative | Research Note | March 15, 2026 Key Takeaways LLMjacking — the unauthorized use of cloud-hosted LLM resources through compromised credentials, exposed APIs, or unauthenticated endpoints — has evolved from a novel proof-of-concept threat first documented by Sysdig in May 2024 into a commercially structured criminal enterprise with documented marketplace infrastructure by early 2026 [1][2].
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