AI Tools Are Now a Weapon in Ransomware Attacks
Threat actors behind the Aurora ransomware operation have been caught using Cursor Agent, an AI coding assistant, to help carry out attacks. The finding comes from a new report by Gambit Security’s Threat Intelligence team, published on August 27.
Between April 8 and May 26, 2026, the operators used Claude Sonnet — running through Cursor Agent — to assist with exploitation activities against at least 10 victims. The tasks weren’t exotic. They included scanning victim environments, installing VPN clients, and running certificate attacks.
But here’s the kicker: the AI didn’t always succeed. According to the researchers, most commands failed on the first attempt, forcing the attackers to refine their prompts multiple times. Some tasks eventually succeeded; others just returned a report of failed attempts.
This is a clear sign that cybercriminals are experimenting with AI to speed up their operations, even when the tools aren’t perfect.
How Aurora Abuses Cursor Agent in Ransomware Attacks
Cursor Agent is designed for software developers. It can complete complex coding tasks, run terminal commands, and edit code independently. Aurora operators, however, repurposed it for post-compromise work, feeding it credentials or using an existing foothold into a victim’s network.
Some commands were simple intelligence-gathering requests, like “tell me what rights the user has.” Others were more specific, directing the agent to use particular exploitation tools or follow a previously generated attack plan. For example, the agent was asked to enumerate domains, use NetExec’s BloodHound collector, and scan internal subnets with Nmap or NetExec.
The AI was also tasked with active exploitation. That included attempting NTLM relay attacks by coercing authentication with PetitPotam, Coerce Plus, and PrinterBug, as well as running certificate attacks with Certipy. In some cases, the agent was told to install VPN clients or proxychains, configure them, and connect to a victim using supplied credentials or an existing SOCKS tunnel.
Why This Matters for Defenders
The fact that attackers are using AI tools like Cursor Agent doesn’t mean the AI is a superweapon. It’s more like a force multiplier that sometimes misfires. Still, the trend is worrying. As AI tools become more capable, even failed attempts can yield useful intelligence for attackers, and successful ones save time.
For defenders, this means monitoring for unusual AI-assisted activity is becoming more important. If you see commands that look like they’re generated by an AI agent, that could be a red flag.
Aurora Deploys New Linux Ransomware Variant for ESXi
The same report also details a new Linux ransomware variant from Aurora that targets ESXi environments. The attackers used a custom NetExec LDAP module called esxi_finder.py to scan for VMware ESXi hypervisors and vCenter servers inside victim networks.
The variant encrypts virtual machine files while skipping system volumes. That keeps the hypervisor bootable, so victims can still read the ransom demand. It’s a calculated move — they want you to see the note, not just lock you out.
A Second Cluster of Activity Across Six Countries
Gambit researchers also identified a second cluster of activity, attributed with medium confidence to an Aurora operator. This cluster targeted eight victim organizations across Israel, Germany, Austria, Spain, the US, and Argentina.
Aurora ransomware has been active since April 2026, operating a data leak site and going after organizations in multiple countries. The group’s willingness to adopt AI tools like Cursor Agent shows they’re paying attention to new technology — and so should you.
What This Means for Ransomware Defense
The use of AI in ransomware attacks isn’t just a novelty. It changes the game for defenders in subtle ways. AI agents can work around the clock, try multiple approaches, and learn from failures — all without human fatigue.
That said, the report’s findings also highlight the limitations. Many commands failed, and the attackers had to iterate. AI isn’t replacing human hackers yet; it’s augmenting them. But as models improve, the failure rate will drop.
For now, organizations should focus on basics: patch vulnerabilities, monitor for unusual tool usage, and segment networks to limit the blast radius of any compromise. And if you see NetExec or BloodHound being used in your environment, treat it as a potential indicator of an attack.
For more on how attackers leverage AI, check out our analysis of AI-driven phishing campaigns and tips for securing ESXi environments.