GCD AI RADAR
incidents/AIR-2024-0028

LLMjacking Attackers Abuse Cloud AI Services Using Stolen Credentials

AI-enabled attack4 Confirmed real-world lossOther

Attackers leveraged stolen cloud credentials to abuse AI platforms like Anthropic Claude and AWS Bedrock through reverse proxies. The scheme inflated victim costs significantly while evading logging and detection mechanisms.

Details

type
AI-enabled attack
Attackers used AI as a meaningful part of a cyberattack against someone else.
categories
  • Other
    In scope, but none of the categories above fits. Reviewed periodically for new categories.
owasp llm top 10
no entry for these categories
mitre atlas
no technique for these categories
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
4 · Confirmed real-world loss
Financial loss, PHI/PII breach, safety impact or regulatory action.
targets
Anthropic, Amazon, Enterprise deployment
products
Claude, AWS Bedrock
incident date
6 May 2024
first reported
6 May 2024
origin
AI Incident Database
Derived from the AI Incident Database (CC BY-SA 4.0).
classifier confidence
0.85 · published at or above 0.80; see the methodology
tags
llmjacking · credential-theft · aws-bedrock · claude · CVE-2021-3129
record
created 2026-10-18 06:33Z · updated 2026-10-18 06:59Z · json

Sources · 1

  1. 2024-05-06
    Alleged LLMjacking Targets AI Cloud Services with Stolen Credentials
    AI Incident Database · incidentdatabase.ai/cite/898

Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.

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