Storm Watch | Cyber Podcast | ASUS Router Botnet Attack: AI Uncovers Hidden Backdoor
Summary: GreyNoise researchers used their AI-powered traffic analyzer SIFT to sift through more than 23 billion network entries and flag just 30 suspicious payloads in a botnet campaign targeting ASUS routers. The attackers disabled TrendMicro security features on the routers, used brute force, authentication bypasses, a null byte injection and a command injection, then installed a backdoor through legitimate ASUS features so it could survive firmware updates, with over 4,800 compromised devices detected globally.
What you should know: ASUS's patch added character validation rather than fixing the underlying flaw, and researchers found the fundamental vulnerability remained and could potentially be worked around - leaving thousands of already-compromised routers that traditional signature-based detection was never built to see.
Read the original at GreyNoise Blog ↗
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