Full Report
A DDoS mitigation service provider in Europe was targeted in a massive distributed denial-of-service attack that reached 1.5 billion packets per second. [...]
Analysis Summary
# Incident Report: Record-Scale UDP Flood Targeting DDoS Mitigation Provider
## Executive Summary
A European DDoS mitigation service provider was targeted by a massive distributed denial-of-service (DDoS) attack peaking at 1.5 billion packets per second (Bpps), one of the largest packet-rate floods publicly documented. The attack flooded the provider's customer infrastructure using a UDP flood originating primarily from compromised IoT devices and MikroTik routers across thousands of networks worldwide. The attack was detected in real-time, and mitigation strategies, including deploying ACLs on edge routers, successfully defended against the service disruption.
## Incident Details
- Discovery Date: Real-time detection during the attack.
- Incident Date: Approximately September 9-10, 2025 (based on press release date).
- Affected Organization: A DDoS scrubbing service provider in Europe (Customer of FastNetMon).
- Sector: Cybersecurity / Internet Infrastructure and Service Provider.
- Geography: Europe (Target location); Attack sources were global.
## Timeline of Events
### Initial Access
- Date/Time: Not precisely specified, but occurred prior to the peak rate being recorded on September 9, 2025.
- Vector: Massive volume of malicious traffic initiated by thousands of compromised Customer-Premises Equipment (CPE), specifically IoT devices and MikroTik routers.
- Details: The attack manifested as a large-scale UDP flood.
### Lateral Movement
- Not applicable for this type of volumetric DDoS attack, as the attack vector was external, leveraging a botnet for saturation rather than internal network traversal.
### Data Exfiltration/Impact
- The primary goal was service disruption and exhaustion of processing capabilities on the receiving end (the DDoS scrubbing facilities).
### Detection & Response
- Detection: Detected in real-time by the victim's FastNetMon protection system.
- Response Actions: Mitigation was taken using the customer’s existing DDoS scrubbing facility, which involved deploying Access Control Lists (ACLs) on edge routers known for amplification capabilities.
## Attack Methodology
- Initial Access: Exploitation of vulnerable consumer hardware (IoT devices and MikroTik routers) to form a massive botnet.
- Persistence: Maintained via the continued operation of the compromised CPE fleet.
- Privilege Escalation: Not applicable (External DoS attack).
- Defense Evasion: Attack volume was high enough (1.5 Bpps) to challenge standard rate-limiting/filtering mechanisms.
- Credential Access: Not applicable.
- Discovery: Not applicable (Volumetric attack focused purely on saturation).
- Lateral Movement: Not applicable.
- Collection: Not applicable.
- Exfiltration: Not applicable.
- Impact: Massive packet-rate network saturation resulting in potential service outages for the targeted scrubbing provider's customer.
## Impact Assessment
- Financial: Not explicitly disclosed, but significant costs associated with defending against and absorbing such a massive attack.
- Data Breach: No data breach or exfiltration was reported; the attack was focused on availability disruption.
- Operational: The victim organization’s DDoS scrubbing facility—designed to handle such events—was heavily burdened but ultimately successful in mitigating the traffic before a critical outage occurred.
- Reputational: Potentially high impact if the attack had succeeded in taking down the mitigation service itself.
## Indicators of Compromise
- Network indicators: Traffic patterns exceeding 1.5 Bpps, dominated by UDP protocols.
- File indicators: None reported (Botnet command/control infrastructure not detailed).
- Behavioral indicators: Sustained, massive, distributed traffic floods targeting infrastructure endpoints.
## Response Actions
- Containment measures: Real-time application of ACLs on edge routers to filter out known amplification/reflection sources.
- Eradication steps: Not applicable to the attacker's infrastructure, but mitigation efforts focused on cleaning the incoming traffic stream.
- Recovery actions: Successful retention of service availability through advanced DDoS scrubbing capabilities.
## Lessons Learned
- The sheer scale of modern packet-rate DDoS attacks (1.5 Bpps) is increasing, pushing the limits of existing defensive infrastructure.
- The widespread weaponization of everyday networking devices (IoT, MikroTik routers) poses a severe, easily scalable threat.
- Proactive, ISP-level filtering is becoming essential to stop botnets from scaling to these levels before traffic reaches the target network.
## Recommendations
- Implement advanced, real-time traffic anomaly detection systems capable of identifying flows exceeding 1 Bpps.
- Work with upstream providers to deploy ingress filtering (BCP 38) to prevent source IP spoofing, where applicable to the specific attack type, and address known reflective amplification pathways.
- Regularly evaluate and update ACLs on edge routers to block new patterns identified in large volumetric floods.