Siemens

Reconstructed Stuxnet Source Code Published on GitHub with Build Instructions

An unknown researcher has released a reconstructed version of the Stuxnet worm source code on GitHub, including reverse-engineering results and assembly instructions. Stuxnet was discovered in 2010 and is widely attributed to the joint US-Israeli Olympic Games operation targeting Iran's Natanz uranium enrichment facility. The malware specifically attacked Siemens industrial controllers by altering frequency converter operations to physically damage centrifuge rotors while falsifying operator displays. Propagation relied on USB drives, network shares, and a Windows Print Spooler vulnerability, combined with stolen Realtek and JMicron driver-signing certificates. The worm also injected itself into Siemens WinCC and Step 7 software to intercept communications with programmable logic controllers. Due to a flaw in its environment checks, Stuxnet escaped the target network and spread publicly before its built-in June 2012 self-destruct date. Researchers are advised to analyze the code only inside fully isolated virtual machines without network access.

InfoWatch Details ARMA Wall NGFW Development for Industrial Systems Under Russian Import Substitution Rules

InfoWatch has published the second part of its interview series describing the ongoing development of the ARMA Wall next-generation firewall for industrial control systems. The product prioritizes on-premise processing without cloud agents to meet strict customer security policies and certification requirements. Engineers combine proprietary detection feeds with external sources, including indicators from NKCKI, while maintaining hundreds of thousands of signatures without disabling legacy rules for older Siemens controllers. Migration support relies on manual pre-project audits rather than automated tools, and the company works closely with domestic SCADA vendors to embed NGFW capabilities inside long-lifecycle OT environments. ARMA Wall is positioned as a more flexible and cost-effective alternative to data diodes because it allows granular command-level filtering and can emulate one-way traffic when required. The solution is already deployed at Roscosmos subsidiary RKK Energia after full certification and categorization.

Siemens Industrial AI Drives Green Efficiency Revolution in Infrastructure Cooling, Parks, and Data Centers

The article explores how Siemens is applying industrial AI to transform physical infrastructure operations across buildings, industrial parks, and data centers in China. It details the company's non-invasive AI BOX solution that optimizes cooling systems in hotels and other facilities without replacing existing equipment, achieving around 7% additional energy savings. The Smart ECX platform enables integrated source-grid-load-storage management for zero-carbon factories, delivering 30% cost reductions and over 90% overall energy efficiency. Siemens also supplies critical power distribution hardware such as NXAirS medium-voltage switchgear and SIVACON S8 low-voltage cabinets to support high-reliability AI data center operations. The coverage highlights alignment with China's 15th Five-Year Plan carbon peaking policies and real-world deployments at venues including the Shanghai Yingyi Crowne Plaza Holiday Hotel and Sichuan Chuanrun's Chengdu factory. Overall, Siemens emphasizes combining domain physics models with machine learning to deliver verifiable, replicable industrial value rather than generic AI concepts.