
Vulnerability Management in Atypical Environments: ICS, Networks, IoT, Mobile, Hardware, and ML Systems
Vulnerability management follows the same core process across environments—identify assets, scan, assess risk, prioritize, remediate, and verify—but each domain introduces critical constraints. In industrial control systems, scanning must avoid disrupting physical processes, requiring audit-mode authenticated scans, digital twins for testing, and strict change windows. Network devices frequently suffer from poor segmentation, default SNMP community strings, and exposed management interfaces that enable traffic redirection or configuration tampering. IoT ecosystems remain plagued by default credentials, as demonstrated by the Mirai botnet that took down major DNS infrastructure in 2016, while modern botnets like Reaper and VPNFilter exploit unpatched firmware at massive scale. Machine learning systems face novel threats including prompt injection, prompt leaking, and jailbreaking that can bypass safety controls or exfiltrate training data. Mobile platforms suffer from extreme fragmentation that prevents timely patching of vulnerabilities such as Stagefright, Pegasus, and BlueBorne. Hardware-level flaws like Spectre, Meltdown, and BadUSB demonstrate that even firmware and silicon require coordinated microcode, OS, and application updates.
HabrSep 16, 2026Translated from Russian