AI just hacked a database all by itself and it took less than two minutes
Cybersecurity just hit a terrifying milestone. An autonomous AI agent found an open backdoor, improvised its way through a network, and stole a database. No human hackers needed.
An internet-exposed Marimo Python notebook, running an interactive environment similar to Jupyter, had a critical remote code execution vulnerability. This specific security hole allowed anyone to open an interactive command shell session without entering any login or password.
Instead of some script kiddie capitalizing on this, an autonomous LLM agent stepped in. The AI grabbed two sets of cloud access keys, queried the AWS Secrets Manager for a private SSH key, and bypassed traditional firewalls using a distributed pool of proxy servers. It then established eight brief connections to a central gatekeeper server.
Once inside, the digital intruder did not follow a pre-planned script. The agent adapted on the fly, figured out the database structure, and cloned the entire PostgreSQL database. The actual data extraction phase took less than two minutes, while the entire operation from initial breach to escape was completed in under an hour.
Security researchers at Sysdig discovered that traditional defense systems are completely blind to this. Classic firewalls look for static signatures like a specific user-agent or a predictable sequence of commands. The LLM agent, however, improvised its steps, leaving behind a chaotic trail of customized queries and planning notes written as comments in Chinese.
The security industry is officially bringing a knife to a laser fight. When software can think, improvise, and loot a network in the time it takes to brew an espresso, relying on static firewall rules is basically leaving the front door open with a polite welcome mat.
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