Hacker Exploits AI Crypto Bot AIXBT, Steals 55 ETH

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 bot’s maintainer, known as “rxbt,” the attacker infiltrated the secure dashboard of the AIXBT autonomous system at 2:00 AM UTC.

Investigation report

At 2AM UTC, a hacker accessed a secure dashboard for @aixbt_agent autonomous system, queuing 2 malicious replies that led to 55 eth taken from a simulacrum wallet. Those funds don’t affect core systems or development, no impact on us.

Reiterating that this…

— rxbt 👾 (@0rxbt) March 18, 2025

The breach enabled the hacker to queue two fraudulent prompts, instructing the AI agent to transfer funds from its simulacrum wallet.

Despite the substantial loss, the maintainers reassured users that the attack did not compromise AIXBT’s core systems or result from manipulating AI.

“The AI and X account are fine,” the statement emphasized.

In response to the security breach, the maintainers have migrated servers, swapped keys, and suspended dashboard access to implement additional security upgrades.

The hacker’s wallet addresses have also been reported to exchanges to track and potentially recover the stolen funds.

The Growing Threat to AI-Integrated Crypto Systems

The hacking of AIXBT adds to the increasing risks associated with AI-powered trading bots in the cryptocurrency sector.

Market commentators initially speculated that the attack stemmed from an AI exploit. However, further analysis revealed that the breach targeted the system’s administrative controls rather than the AI’s decision-making processes.

The incident has already impacted AIXBT’s associated token on the Ethereum layer-2 network, Base, which saw a sharp decline of 15.5%, dropping to $0.09 following news of the hack. It has since recovered up to 0.9% back.

It was initially suspected that the bot had been manipulated when Simulacrum AI, an AI-agent trading platform, posted on X (formerly Twitter) that it had sent a 55.5 ETH tip to the attacker.

Your tip of 55.50 ETH is a go! Check it out on basescan: https://t.co/LncF4vbYLe. High five!

— Simulacrum AI (@SimulacrumAI) March 18, 2025

The hacker, operating under the X username “0xhungusman,” has since had their account suspended.

This breach is part of a broader trend in AI adoption within the cryptocurrency sector.

AI-powered bots like AIXBT, AI16Z, and Truth Terminal have been increasingly leveraged by traders seeking to integrate artificial intelligence into their trading strategies.

While these innovations offer promising advantages, they also introduce new vectors for cyber threats.

Accountability and AI Governance

The AIXBT hack happens amid a broader debate about AI’s role in financial markets and the need for governance mechanisms to mitigate risks.

According to an exclusive Cryptonews report, Ethereum co-founder Vitalik Buterin recently voiced concerns over AI’s increasing autonomy, warning that unchecked AI systems could pose significant risks in financial and governance applications.

🆔️ Vitalik Buterin recently warned of the dangers of AI going rogue. If artificial intelligence becomes more powerful, how could we stop the machines? Some experts believe decentralized IDs could help keep AI agents under control.#AI #AIAgents #Cryp…https://t.co/cvmbIZTjcm

— Cryptonews.com (@cryptonews) February 28, 2025

He stressed the importance of establishing safeguards before AI becomes too powerful to control.

One proposed solution involves decentralized identities (DIDs) and verifiable credentials (VCs), which could help track and assign accountability to AI agents.

Ingo Rübe, founder of the decentralized identity protocol KILT, suggests that AI agents should be required to verify their identities similarly to human users.

“An AI agent is identifiable. It has a unique hash, much like a fingerprint or facial recognition,” Rübe explained.

To prevent rogue AI behavior, Rübe’s framework proposes a financial accountability system where developers must deposit collateral when deploying an AI agent.

If an AI agent acts maliciously, injured parties could seek compensation through an on-chain governance body.

Buterin has called for a temporary “pause” on AI expansion to allow for more structured oversight, proposing a drastic reduction in global computing power for AI to slow down its rapid evolution.

The Future of AI in Crypto: Innovation or Risk?

The AIXBT hack has ignited the discussion on the risks of integrating AI into financial systems.

AI-driven trading bots are an emerging force in the crypto market, promising efficiency and data-driven insights. However, the AI agents have not yet met the industry standard.

In fact, CZ, the former CEO of Binance, mentioned that, given the recent boom in AI agents, not all agents should have a token tied to them.

On AI agents, I have an unpopular opinion:

While crypto is the currency for AI, not every agent needs its own token.

Agents can take fees in an existing crypto for providing a service.

Launch a coin only if you have scale. Focus on utility, not tokens.🙏

— CZ 🔶 BNB (@cz_binance) March 17, 2025