Prophaze
  • What is Prophaze AppSec Platform? How it works?
    • Performance
    • SSL Termination
    • Modes of Operation
  • Prophaze AppSec Best Practices
  • Application Onboarding
    • Account Creation
    • Deployment Models
      • Cloud
      • On-Premise
      • Kubernetes Deployment
    • Multi-Cloud Setup
  • DASHBOARD UI OVERVIEW
    • Dashboard
    • Traffic Analysis
    • API Security
    • Attack Analytics
    • DDOS Attacks
    • Rules Page
    • Bot Mitigation
    • Anomaly Detection
    • Reporting
    • Attack Types
    • Incidents
    • AppSec Toggle Mode
    • SSL Certificate
  • HTTP Support
    • Encoding Types
    • Protocol Validation
  • Protection Use Cases
    • HTTP Protocol Violation
    • Protocol Anomalies
    • Bot Detection
    • Injection Prevention
    • HTTP Request Smuggling
    • HTTP Response Splitting
    • XSS Prevention
    • LFI and RFI
    • Session Fixation
    • SQL Injection Prevention
    • Layer 7 Dos Attack Prevention
    • PHP Application Protection
  • Detection Techniques
    • Normalization
    • Negative Security Model
    • Signature and Rule Database
  • FAQ
    • Onboarding Process
    • Dashboard Terminology
    • Attack Section
    • Rule Set
    • Traffic 360: General Traffic Logs
    • ML Based Bot Mitigation
    • Generating Reports
    • Anomaly Detection
    • General
  • Software Updates
    • Release Notes v2.3.0
  • Release Notes v2.4.0
  • Release Notes v2.5.0
  • API Security Dashboard
    • API Security Features of Prophaze
    • API security scoring
    • Host-Based API Quality Score
    • How to Enable API Security and Dashboard
    • API Security Section
  • CVE
    • CVE-2024
    • CVE-2023
    • CVE-2022
    • CVE-2021
    • CVE-2020
    • CVE-2019
    • CVE-2018
    • CVE-2017
    • CVE-2012
    • CVE-2011
    • CVE-2009
    • CVE-2008
    • CVE-2001
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  1. Detection Techniques

Negative Security Model

Prophaze WAF supports the following Negative security model

  • Signature-based - Detect attacks by performing a string or a regular expression match against traffic.

  • Rule-based - Rules are similar to signatures but allow for a more complex logic to be formed (e.g. logical AND, logical OR). They also allow for specific parts of each transaction to be targeted in a rule.

PreviousNormalizationNextSignature and Rule Database

Last updated 6 months ago

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