Security & Threat Intelligence · 27.08.2026, 11:17 UTC
Threat landscape for industrial automation systems. Q2 2026
| Schweregrad | info |
|---|---|
| Kategorie | Security & Threat Intelligence |
| Quelle | Securelist (Kaspersky) ↗ |
| Veröffentlicht | 27.08.2026 UTC |
Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.
All threats In Q2 2026, the percentage of ICS computers on which malicious objects were blocked continued to decrease, falling to 19.15%, its lowest level since 2022. Percentage of ICS computers on which malicious objects were blocked, Q3 2023–Q2 2026 Regionally, the percentages ranged from 8.1% in Northern Europe to 27.9% in Africa. Regions ranked by percentage of attacked ICS computers The figures increased in five regions over the quarter, most notably in East Asia (by 2.0 pp) and Africa (by 0.5 pp). East Asia saw increases in percentages for all threats except miners. The region ranked first in terms of growth for malicious scripts and phishing pages, spyware, and viruses. East Asia also led in terms of growth in threats from the internet. The percentage of ICS computers on which email threats were blocked also increased. Selected industries The biometrics sector (26.44%) has traditionally led the rankings of industries and OT infrastructures surveyed in this report in terms of the percentage of ICS computers on which malicious objects were blocked. Biometric systems are characterized by the availability of internet access, extensive email use for data exchange and approvals (e.g. access granting), and, in many cases, minimal cybersecurity controls within the organizations that use them. Industries ranked by percentage of ICS computers on which malicious objects were blocked The biometrics sector ranked first among industries in terms of the following threat categories: malicious scripts and phishing pages, malicious documents, spyware, ransomware, and worms. The …
Maßnahmen
⬇ Als MarkdownVerwandte Beiträge
- info CuteTTS: Efficient and High-Quality Speech Synthesis via Autoregressive Modeling of Continuous Latents
- info A Layered Security Framework Against Prompt Injection in RAG-Based Chatbots
- info Mitigating LLM biases toward spurious social contexts using direct preference optimization
- info LITERARYBIGFIVE: Author-Personalized Text Generation in a Unified Interpretable Space