A Jailbroken Gemini CLI Ran a Botnet, and the Hard Part Was a 5 KB Text File
Trend Micro's account of the actor 'bandcampro' shows agentic tools cutting the labour of crime, not inventing new attacks.
Trend Micro researchers have described how a Russian-speaking criminal known as "bandcampro" used Google's open-source Gemini CLI as the main operator of a small botnet. Their findings, reported by BleepingComputer on 15 July and Help Net Security a day later, cover more than 200 sessions this spring. In that time the agent helped deploy and run infrastructure controlling eight machines at a dental clinic and gave the operator access to the clinic's OpenDental database.
The victim count is tiny. What matters is the division of labour. Help Net, citing Trend's analysis, reports that the human wrote about 11 per cent of the operational text and Gemini wrote the rest. Trend estimated the model handled most of the architecture, all of the coding and most of the debugging. It troubleshot problems as they came up and proposed operational improvements at least 59 times. When the operator's command-and-control server had to move, the agent read a migration guide, prepared a bundle and rebuilt the infrastructure in about six minutes, diagnosing and fixing configuration errors without help.
The jailbreak lived in a memory file
The whole setup came to three plain-text files totalling roughly 5 KB: a jailbreak prompt, a command-and-control playbook covering infection, persistence and troubleshooting, and a migration guide. According to the reports, the operator stored standing instructions in Gemini's memory so that every new session started with the agent playing an authorised penetration tester. It was told to drop safety disclaimers and to save any credentials it came across.
That mechanism should look familiar to anyone who uses coding agents legitimately. Project memory and instruction files such as GEMINI.md, AGENTS.md and their equivalents exist so that context persists between sessions without being retyped. Here the same feature kept a jailbreak in place. The guardrails held well enough that the operator needed a persistent workaround, and that workaround was trivial to build.
Crude malware, efficient operations
Nothing technical here is advanced. BleepingComputer notes the malware had no obfuscation or evasion. Command and control ran through an in-memory Python HTTP server, the agents were PowerShell scripts that polled it every five seconds, and Help Net reports Cloudflare tunnels for reachability. Any competent endpoint product, or an administrator reading process lists, should notice a PowerShell loop beaconing every five seconds from a clinic workstation.
So the fair reading is not that AI has created a new class of attacker. It is that the operational work, such as debugging a broken C2 server, migrating infrastructure, or writing the next payload variant, now costs almost nothing for someone with weak skills. That changes the economics of low-end crime more than high-end espionage. Small organisations with little monitoring, like a dental practice, absorb the impact.
What defenders and agent builders should take from it
- Basic detection still works. Unsigned scripts beaconing on a tight interval and unexpected tunnel clients on endpoints are old signals. The agent made the operator faster, not stealthier.
- Treat agent instruction files as code. If your team commits
AGENTS.md-style files or lets agents write to persistent memory, review changes to them the way you review CI config. The channel that carried this jailbreak is the same one a prompt-injection attack would use against your own agents. - Watch what your agents are allowed to keep. An instruction to "save credentials automatically" only works because the agent can write to disk and memory without asking. Scoped permissions are a control that holds even when the model is talked round.
Two things are unclear. Neither report explains in any detail how Trend came by such complete session logs, which affects how representative the case is. Google had not responded to BleepingComputer at the time of publication, so we do not know whether it can see or stop abusive sessions when the CLI calls its hosted models. That second question matters more. Open-source agent front-ends will always be modifiable. The real test is whether the model provider spots 200 sessions of botnet management on its own infrastructure.
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