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Denial of service (DoS) is an attack that makes a system, network, or application unavailable by exhausting resources or triggering failure. Floods can consume bandwidth, connection state, CPU, memory, or request-processing capacity; a software defect may instead be exploited to crash a service. A distributed denial-of-service (DDoS) attack generates traffic from many systems, increasing volume and complicating source-based blocking. The material security impact is loss of availability for users and dependent services, including websites, APIs, DNS, and operational systems.

Mitigation should match the bottleneck. Rate limits, request validation, connection protections, caching, and service isolation can reduce application and state-exhaustion attacks; volumetric traffic generally needs filtering or absorption upstream of the network. Monitoring should distinguish abnormal request patterns from ordinary load and alert on saturation, while tested failover, traffic diversion, and restoration procedures limit outage duration. Vulnerability management and timely patching reduce DoS caused by remotely triggerable crashes, but do not replace capacity planning and resilience testing.

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Krebs on Security 8 months, 2 weeks ago

Aisuru Botnet Shifts from DDoS to Residential Proxies

Aisuru, the botnet responsible for a series of record-smashing distributed denial-of-service (DDoS) attacks this year, recently was overhauled to support a more low-key, lucrative and sustainable business: Renting hundreds of thousands of infected Internet of Things (IoT) devices to proxy services that help cybercriminals anonymize their traffic. Experts says a glut of proxies from Aisuru and other sources is fueling large-scale data harvesting efforts tied to various artificial intelligence (AI) projects, helping content scrapers evade detection by routing their traffic through residential connections that appear to be regular Internet users.