Description: A reported hacker attack allegedly compromised the autonomous AI crypto bot AIXBT, purportedly resulting in the theft of 55.5 ETH (approximately $106,200). The attacker is reported to have infiltrated the secure dashboard of the AIXBT autonomous system at 2:00 AM UTC on March 18, 2025, and allegedly queued two fraudulent prompts that instructed the AI agent to transfer funds from its simulacrum wallet.
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The OECD AI Incidents and Hazards Monitor (AIM) automatically collects and classifies AI-related incidents and hazards in real time from reputable news sources worldwide.
Entities
View all entitiesAlleged: RXBT developed an AI system deployed by 0xhungusman, which harmed AIXBT users , AIXBT system and AIXBT Investors.
Alleged implicated AI systems: Simulacrum AI trading platform and AIXBT autonomous AI crypto bot
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
2.2. AI system security vulnerabilities and attacks
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Privacy & Security
Entity
Which, if any, entity is presented as the main cause of the risk
Human
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Intentional
Incident Reports
Reports Timeline
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A sophisticated hacker attack has compromised the autonomous AI crypto bot AIXBT, resulting in the theft of 55.5 ETH (approximately $106,200).
The incident occurred in the early hours of March 18. According to the official report from the b…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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