A hacker infiltrated the AIXBT autonomous AI crypto trading bot's administrative dashboard and used fraudulent prompts to steal 55.5 ETH (approximately $106,200) from its wallet.
On March 18, a sophisticated hacker attack compromised the autonomous AI crypto bot AIXBT, resulting in the theft of 55.5 ETH worth approximately $106,200. The incident occurred at 2:00 AM UTC when an attacker infiltrated the secure dashboard of the AIXBT autonomous system. The breach enabled the hacker to queue two fraudulent prompts that instructed the AI agent to transfer funds from its simulacrum wallet. The bot's maintainer, known as 'rxbt', confirmed that the attack did not compromise AIXBT's core AI systems or result from AI manipulation. The hacker operated under the X username '0xhungusman' and had their account suspended following the incident. In response to the security breach, maintainers migrated servers, swapped keys, and suspended dashboard access to implement additional security upgrades. The hacker's wallet addresses were reported to exchanges for tracking and potential fund recovery. The incident caused AIXBT's associated token on the Ethereum layer-2 network Base to decline 15.5% to $0.09, though it has since partially recovered. This breach highlights growing risks associated with AI-powered trading bots in the cryptocurrency sector and has contributed to broader discussions about AI governance and accountability in financial systems.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
Vulnerabilities that can be exploited in AI systems, software development toolchains, and hardware, resulting in unauthorized access, data and privacy breaches, or system manipulation causing unsafe outputs or behavior.
Human
Due to a decision or action made by humans
Intentional
Due to an expected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed