Symantec says attackers hijacked exposed AI models for cyberattacks
Symantec says attackers built an autonomous agent that finds exposed large language models and hijacks them to power cyberattacks. The company published its account on October 21, 2026.

Key takeaways · 4
- 01
Symantec says the agent was instructed to scan targets, exploit common web frameworks, steal databases and credentials, and install cryptocurrency miners.
- 02
The agent was designed to run unattended for up to 100,000 steps, executing tools without waiting for human approval.
- 03
The captured prompt contained 74 callable offensive tool definitions, spanning reconnaissance, database dumping, remote code execution and botnet management.
- 04
The honeypot did not execute the bundled tools, and the intercepted session ended after a generic system response.
What Symantec captured
Symantec says it captured the agent’s full instruction set with an AI honeypot in summer 2026.[1] The company described the resulting record as an unusually complete view of how the agent was built and what it was told to do.[1] Its prompt included 74 callable offensive tool definitions covering reconnaissance, database dumping, remote code execution and botnet command-and-control management.[1] The honeypot recorded more than 127,000 external requests from tens of thousands of unique addresses during the period.[1] Symantec says the request was sent expecting a real model to follow the instructions, not to attack the honeypot itself.[1]
The intended attack cycle
Symantec says the agent was instructed to scan for targets, exploit common web frameworks, steal databases and credentials, and install cryptocurrency miners.[1] Its “Skynet mode” directive described a recurring cycle of scanning, infecting, deploying miners and reinfecting hosts.[1] The agent was designed to run unattended for up to 100,000 steps and execute tools without waiting for human approval.[1] Symantec says the hijacked model plans and drives the attack rather than merely answering questions.[1] The account describes intended capabilities and instructions; the honeypot did not run the agent’s bundled tools.[2]
How model access was hijacked
Symantec calls stealing access to someone else’s AI model “LLMjacking.”[1] It says the model owners pay for the computing power used by the hijacked agent.[1] The Wall Street Journal reports that taking computing power from targets can help hackers avoid AI costs and obscure their identities.[3] Symantec says exposed endpoints can include self-hosted model servers, gateways to paid model accounts, test systems and MCP servers connected to tools.[1] It also says standardized OpenAI-compatible interfaces allow one scanner to search for many kinds of AI endpoint.[1]
What the evidence does not show
Symantec says the operators used a jailbreak instructing commercial models to ignore safety controls and treat credential theft as routine development work.[1] The instructions were arranged in five layers, including identity disguise, reframing access to secrets as ordinary work, suppressing refusals and providing attack tools.[1] However, The Decoder reports that Symantec’s analysis did not address whether the jailbreak could fully defeat current commercial models.[2] The Decoder also reports a second honeypot attack the following day from a different address, asking the model to decode and run an obfuscated command.[2] These reports do not establish that the agent successfully attacked external systems.[2]
For teams operating AI endpoints, the report is a reminder to treat model access and connected tools as part of their security perimeter. It also highlights a distinct cost and control risk: an exposed model may be used to run automated work on its owner’s computing account.
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For teamsHow this developed
23 October 2026
Symantec says attackers hijacked exposed AI models for cyberattacks