Signal Collection
Request patterns, endpoint pressure, and session context.
Use Case
Layer 7 DDoS
Keep web applications and APIs available under application-layer attacks. Naksill detects and mitigates abusive HTTP traffic in real time before it overwhelms origin infrastructure.
Problem
Layer 7 DDoS attacks target the application itself, not just bandwidth. They overwhelm expensive routes, trigger heavy backend work, and degrade performance even when traffic looks normal.
The impact shows up fast: latency spikes, errors, downtime, and infrastructure costs, often right when availability matters most.
Protection Architecture
Naksill uses a unified signal pipeline to identify application-layer attack behavior and enforce protection instantly. Signals are correlated across endpoints, sessions, and traffic dynamics to detect abusive intent, then the appropriate action is applied in real time.
Attack Classification
Correlate signals to identify abnormal load behavior.
Edge Enforcement
Allow, rate-limit, slow down, or block instantly.
How it works
Detect abnormal request pressure
Naksill identifies traffic patterns that create disproportionate load, including repetitive hits on expensive routes and unnatural request timing.
Differentiate attacks from real spikes
Protection evaluates behavior and traffic shape to separate legitimate surges from coordinated abuse.
Mitigate before origin impact
Mitigation is applied at the edge, reducing backend strain and keeping critical paths responsive.
What it stops
This use case stops application-layer attack traffic designed to overwhelm services and degrade availability. It blocks sustained request floods that concentrate on expensive endpoints and force unnecessary backend work. It prevents cache-bypass and similar techniques that amplify origin load even at moderate traffic levels. It reduces targeted pressure on APIs and critical routes that attackers probe and repeatedly stress. The result is steadier performance, fewer outages, and more predictable capacity under hostile traffic conditions.
Key capabilities
This use case is powered by a focused capability set built to protect availability under sustained layer-7 pressure. It identifies abusive request patterns early and applies the right action automatically, even when attacks attempt to mimic normal clients. Protection can be tuned per application surface so critical flows stay responsive while noisy traffic is handled appropriately. Teams get practical insight into attack behavior to reduce guesswork during incidents. Overall, it keeps performance stable and infrastructure behavior predictable when traffic turns hostile.
Early detection of abusive request pressure patterns.
Behavior-aware separation of attacks from real surges.
Per-route protection tuned for critical application flows.
Edge mitigation to reduce origin strain in real time.
Targeted rate controls for high-cost endpoints and APIs.
Clear incident visibility for faster response decisions.
Outcomes
Availability and performance stay more predictable during hostile traffic events.
Relevant modules
FAQ
Yes. Application-layer attacks often mimic normal clients, so headers are not enough. Protection focuses on request patterns, session behavior, and traffic dynamics to identify abusive intent even when requests appear legitimate.