Infrastructure Forensics: Auditing the 17M-Node 'Stark' Sinkhole
Just saw the update from the Dutch Politie regarding the takedown of that massive botnet. The numbers are wild—17 million infected devices and 200+ servers seized in the Netherlands. It looks like the 'Stark' infrastructure referenced in other threads was the backbone here.
While the headlines focus on the takedown, the real work for us is the cleanup. Since a huge chunk of those nodes were IoT devices (cameras, smart plugs), traditional AV often misses them. I've started auditing our edge traffic to see if we had any devices beaconing to the seized infrastructure before the sinkhole went active.
If you are hunting for residuals, look for high-frequency DNS queries to the specific NL-based subdomains that were sinkholed. Here’s a quick KQL query I’m running to flag potential connection attempts to the known C2 IP ranges:
DeviceNetworkEvents
| where RemoteIP has_any ("192.0.2.0", "203.0.113.0") // Placeholder for seized IP ranges
| summarize count() by DeviceName, RemoteIP, RemotePort
| where count_ > 100
On the IoT side, we are pushing a quick scan for active Telnet/SSH sessions on non-standard ports that might be lingering from the infection.
nmap -p 23,2222,8080 --open -T4 10.0.0.0/24
How is everyone else handling the remediation of consumer-grade IoT gear that can't be patched? Are you bricking them or just VLAN-isolating them?
We're isolating. Trying to patch or firmware-flash 17 million devices is a pipe dream for most MSPs. We dropped all affected IoT nodes into a dead-end VLAN with only egress to a NTP server. It's the only way to contain the noise while we wait for vendor patches that might never come.
Don't forget to check your logs for the specific User-Agent string associated with the 'Stark' malware. We found older Android tablets on the guest WiFi were still hitting the sinkhole with a distinct UA. This Python script helped us grep through the Nginx access logs quickly:
grep -i 'StarkBot/1.2' /var/log/nginx/access.log | awk '{print $1}' | sort -u
The sheer volume of Mirai-style traffic usually masks these infections. Since the takedown, we've actually seen a 15% drop in outbound traffic volume on our WAN links. If you saw a similar drop, you might have been part of the DDoS proxy network without knowing it.
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