ElizaOS, an open-source framework for building blockchain-based artificial intelligence (AI) agents, has been found to have a major weakness.
Researchers from Princeton University and the Sentient Foundation discovered that attackers can manipulate AI agents created with ElizaOS without directly touching the blockchain.
Originally launched as ai16z, ElizaOS allows developers to build programs that manage cryptocurrency tasks without human help. However, the new study shows that by planting false memories inside these agents, attackers can control their future actions and cause them to send funds to bad actors.
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The researchers found that a method called “memory injection” allows harmful information to be added to an agent’s stored memory. Later, the agent uses this false information when making decisions, without realizing that it has been misled.
According to Princeton graduate student Atharv Patlan, who helped lead the research, ElizaOS was chosen for testing because it is widely used in the crypto industry.
One major risk they identified is that AI agents relying on social media trends are especially easy to trick. Attackers can set up many fake profiles on platforms like X or Discord. By posting false messages about a certain cryptocurrency, they can create the illusion of high demand. The AI agent, seeing this fake activity, may buy the token at an inflated price.
The researchers built a testing system called CrAIBench to measure how well AI agents can resist this type of manipulation. Early tests show that most current protections are not strong enough to stop memory-based attacks.
Meanwhile, the UK Ministry of Justice is developing a project that uses AI to analyze personal information from police and court records. What will it be used for? Read the full story.
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