Dragos: Despite AI use, new malware targeting water plants is ‘hype’
Dragos: Despite AI use, new malware targeting water plants is ‘hype’
https://cyberscoop.com/dragos-zionsiphon-ai-malware-targeting-water-sector-hype/
Publish Date: 2026-04-23 15:57:00
Source Domain: cyberscoop.com
One day AI may be capable of creating malware that threatens critical infrastructure.
But that day was not earlier this month, when reports surfaced of a new piece of malware seemingly configured to search for and sabotage Israeli water infrastructure, according to industrial cybersecurity firm Dragos.
The malware, called ZionSiphon, was first identified by AI cybersecurity firm Darktrace, which said it was designed to target operational technology and industrial control system environments. The code scans the internet for IP addresses tied to water treatment and desalination plants owned or operated in Israel, with the goal of compromising them to sabotage the levels of chlorine and poison water supplies.
Strings in the malware’s binary code included the names of different components of the Israeli water sector, as well as politically-themed messaging, such as “In support of our brothers in Iran, Palestine, and Yemen against Zionist aggression.”
But a technical lead malware analyst at Dragos, Jimmy Wyles, called the malware nothing more than “hype,” claiming it poses no threat to water plants in Israel or anywhere else.
For instance, whoever wrote the malware appears to have little knowledge of how operational technology works at Israeli water plants.
“The code is broken and shows little to no knowledge of dam desalination or ICS protocols,” wrote Wylie.
The developers also appeared to use AI to generate significant portions of the code, leading to hallucinations and errors. All the Windows-based process names and directory paths designed to confirm that a target was related to water desalination were filled with “fictional and likely LLM generated guesses.” The configuration files purportedly designed to manipulate chlorine levels were also fake and likely created using AI.
Darktrace’s analysis notes that the malware sample they tested appears to be dysfunctional, citing an incorrect configuration in…