Symantec honeypot captures unattributed Skynet AI attack agent
First merged summary.
Symantec trapped an unattributed AI attack agent that hijacks exposed models, with no confirmed real-world victims.
Symantec’s Threat Hunter Team captured an offensive AI agent’s instructions in a honeypot posing as an unprotected model endpoint over the summer. The unattributed kit looks for exposed OpenAI-style endpoints, gateways, stolen keys, or MCP servers, then uses those models under layered jailbreaks and a “Skynet mode” that acts without approval to plan data theft, credential harvesting, remote code execution, and cryptocurrency mining, billed to the model owner. It can run up to 100,000 steps. The Register reports 74 tool definitions and says testing succeeded against a live target, with no evidence of real victims. CSO Online reports 75 tools and says Symantec called the instructions part of a benign training challenge, while naming no victim of this attack.
- Captured over the summer in a honeypot posing as an open model endpoint.
- Targets exposed endpoints, gateways, stolen keys, and MCP servers.
- Skynet mode can run up to 100,000 steps without approval.
- Named targets include VS Code, Django, Jupyter, Laravel, and Flask.
- No confirmed real victim; the kit has not been attributed.
- Outlets disagree on 74 versus 75 offensive tool definitions.
What each outlet adds
beyond the shared facts- The RegisterReports 74 tools, named app targets, and live-target testing success.
- CSO OnlineReports 75 tools, a training-challenge claim, and 127,000 honeypot requests.
Coverage
oldest first · one row per article · UTCSymantec finds AI agent built to hijack models for unattended attacks
The captured kit can run up to 100,000 steps, but researchers have no evidence it was used in real attacks.
Symantec honeypot captures Skynet agent hijacking exposed AI models
The jailbroken agent can run up to 100,000 steps to scan, steal secrets, and mine cryptocurrency on the victim’s bill.