A suspected Iran-linked cyberattack disabled a small UK power plant for four days, the British government said, with no risk to the wider energy system.
A suspected Iran-linked cyberattack disabled a small UK power plant for four days, the British government said, with no risk to the wider energy system. The incident occurred around the same time that a series of digital intrusions disrupted water utilities in at least 12 US states. UK Energy Minister Michael Shanks said his department briefed energy company executives and provided security advice after the event. The government did not disclose the name of the affected plant and has not formally attributed the attack to Iran or any other group. The Telegraph reported that the outage lasted four days and may represent the first disruptive Iranian cyberoperation in the UK. In July, suspected Iranian operatives interfered with more than 30 water facilities in Minnesota and with utilities in at least 11 other states, though no attribution has been made by state or federal authorities. Private-sector analysts told The Register that Iran is almost certainly responsible for the US water utility intrusions, which they said were a response to the ongoing Middle East conflict. FBI and four other federal agencies warned that attackers are now using AI-generated scripts to exploit internet-exposed Siemens S7 Series programmable logic controllers at water, manufacturing, energy and other critical facilities. Cynthia Kaiser, senior vice president of the Halcyon Ransomware Research Center and former FBI cyber analyst, told The Register that Iran-affiliated actors are targeting operational technology because the PLCs underpin essential health, safety and critical infrastructure. The incident highlights ongoing concerns about the vulnerability of critical infrastructure to state-sponsored cyber operations, and authorities have not indicated a definitive response.
- Publisher
- theregister
- Reliability
- high
- Published
- 8/25/2026, 10:01:03 AM
- Retrieved
- 8/25/2026, 10:01:03 AM
- Relevance
- 80%
- Confidence
- 85%

