🔐 ZAPISEC: AI-Application Firewall & API Security Monitoring Platform

Welcome to ZAPISEC – a next-generation, SaaS-based Application Firewall (AF) and API Security Monitoring platform crafted by Cyberultron Consulting Private Limited. ZAPISEC is designed to proactively safeguard modern web applications, APIs, and cloud-native services against an ever-evolving landscape of cyber threats. Built with scalability and performance in mind, it leverages advanced rule engines, AI-powered anomaly detection, and managed prevention strategies to deliver enterprise-grade security through a streamlined platform.

ZAPISEC combines the capabilities of traditional firewalls with deep API intelligence, supporting real-time traffic inspection, threat pattern analysis, and behavior-based blocking. Whether defending against OWASP Top 10 vulnerabilities, bot attacks, DDoS floods, or LLM-based prompt injections, ZAPISEC ensures your digital assets remain secure with minimal latency. The platform features a powerful 7000+ rule engine, DNS-level protection, bot management, and continuous AI learning for zero-day detection and mitigation.

Ideal for developers, DevSecOps teams, and enterprise security leaders, ZAPISEC provides a centralized, cloud-native interface for configuring rules, analyzing threats, and integrating with CI/CD pipelines. Its support for REST, GraphQL, and LLM APIs makes it a future-ready defense layer for modern architectures. ZAPISEC isn’t just a security tool — it's a mission-critical partner in building resilient and compliant digital ecosystems.

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🔥 What ZAPISEC Offers

Feature	Description
🛡️ Application Firewall	AI-powered with 7000+ rules to detect and block injection attacks, XSS, zero-day exploits, and more.
🌐 DDoS Mitigation	Comprehensive Layer 3, 4, and 7 protection using real-time traffic analysis, rate limiting, IP reputation, and geo-fencing.
🤖 Bot Protection	Sophisticated bot fingerprinting & behavior analysis — allowing good bots while blocking scrapers, credential stuffers, and automation attacks.
📊 Anomaly Detection	AI-driven engines that detect suspicious API usage, traffic anomalies, and emerging threats proactively.

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💡 About ZAPISEC

ZAPISEC is designed to secure your web applications, APIs, and DNS infrastructure against today’s most sophisticated attacks, including:

• OWASP Top 10 vulnerabilities
• Malicious bot traffic
• Volumetric and application-layer DDoS attacks
• AI-identified behavioral anomalies

Key Security Modules

Application Firewall

Protect your infrastructure with customizable, behavior-based rulesets that adapt to evolving threats — blocking SQL injections, cross-site scripting, and unknown zero-day exploits.

Bot Protection

Maintain control over automated traffic by differentiating between trusted crawlers (Google, Bing, etc.) and malicious bots with dynamic scoring and real-time mitigation.

DDoS Management

Defend against large-scale attacks at all layers with granular traffic control, IP reputation insights, and geo-fencing to keep your services available and responsive.

Anomaly Detection

Harness AI to spot unusual patterns and suspicious API activity early — empowering your security team to act before threats escalate.

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🧩 Control & Visibility

ZAPISEC offers your security teams complete command with:

• Intuitive Rule Builders for granular firewall customization
• Real-Time Traffic Dashboards with spike alerts and detailed analytics
• Rate Limiting, Geo-Blocking & Session Management
• Comprehensive API & DNS Protection using protocol-aware defenses

All managed through a centralized, easy-to-use dashboard that streamlines complex security workflows — making enterprise-grade protection accessible to everyone.

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🚀 Key Features

🌐 Application Firewall

The Application Firewall is designed to provide robust security for your web applications by filtering, monitoring, and blocking malicious HTTP/S traffic. It comes with an embedded engine of 7,000+ rules, organized into customizable, managed, and rate-limiting components.

✅ Core Components

🔒 1. Custom Rules

Define and enforce domain-specific security logic using:

• IP-based filtering (whitelist/blacklist)
• Country-based access control
• URL path matching
• HTTP method restrictions (GET, POST, PUT, DELETE, etc.)
• Custom headers validation
• Regex-based payload inspection
• Time-based access control

Create and update your rule sets dynamically based on threat intelligence and evolving business requirements.

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📦 2. Managed Prevention Rules (48 Core Rule Books)

Our managed ruleset includes 48 security rulebooks addressing high-impact threats and compliance standards.

Each rulebook is built on expert-curated rules derived from OWASP, MITRE ATT&CK, and industry intelligence. Examples include:

Rule Book Category	Description
SQL Injection Prevention	Blocks classic and advanced SQLi payloads
Cross-site Scripting (XSS) Prevention	Detects reflective and stored XSS attacks
Remote Code Execution (RCE) Detection	Blocks system call and command injection patterns
Directory Traversal Protection	Detects ../ style path traversal attempts
Admin Path Protection	Secures sensitive admin and backend paths
Authentication Bypass Protection	Prevents bypass of login/OTP endpoints
API Abuse Detection	Limits endpoint flooding, fuzzing, and abuse
Broken Access Control Rule Group	Detects unauthorized access patterns
HTTP Protocol Anomaly Detection	Flags malformed headers and uncommon request sequences
Session Hijacking Detection	Identifies session token anomalies
Bot Behavior Detection	Blocks non-human traffic patterns using heuristics
Account Takeover (ATO) Prevention	Stops credential stuffing and password spraying
LLM Injection & Prompt Injection Prevention	Prevents LLM-specific prompt attacks and prompt leakage
Payload Obfuscation Detection	Blocks base64, Unicode, hex-encoded malicious payloads
File Upload Risk Detection	Validates MIME types, file extensions, and embedded scripts
Command Injection Detection	Detects eval(), exec(), system(), and shell command payloads
CSRF Protection	Detects forged requests from unknown or unauthorized origins
CVE Signature Matching	Monitors for known vulnerabilities via CVE rule patterns
Web Shell Upload Prevention	Blocks web shell deployment attempts and backdoor installation
LFI/RFI Detection	Flags local and remote file inclusion payloads
SSRF Protection	Detects server-side request forgery attempts
NoSQL Injection Detection	Blocks MongoDB, Firebase, and other NoSQL attack vectors
Business Logic Abuse Detection	Identifies coupon abuse, gift card fraud, etc.
Rate Abuse & Pricing Manipulation	Detects high-frequency cart/checkout anomalies
WebSocket Anomaly Detection	Scans WebSocket headers and message flows
HTTP Method Tampering	Detects use of uncommon or deprecated methods
XML External Entity (XXE) Detection	Detects external entity expansion attempts
JSON Parser Abuse Detection	Blocks malicious input targeting JSON parsers
URL Encoding Abuse Detection	Flags double or mixed encoding for evasion
L7 DDoS Mitigation Core Rules	Blocks Layer 7 application-level DDoS attempts
CDN Bypass Attempt Detection	Detects attempts to bypass reverse proxies/CDNs
Reflected Parameter Echo Checks	Scans for input reflection in responses
IP Reputation Enforcement	Uses threat intelligence for malicious IP filtering
Malware URL Pattern Blocking	Blocks outbound or inbound malware indicators
Shadow API Detection	Flags undocumented or deprecated endpoints
Phishing Site Request Detection	Blocks requests resembling phishing site behaviors
Broken Cryptography Detection	Scans for insecure crypto practices in responses
Authentication Token Misuse Detection	Checks for token replay, theft, or injection
Hidden Parameter Tampering	Detects and blocks tampering of hidden or internal form parameters
Application Fingerprinting Prevention	Blocks scanning tools and fingerprinting attempts
Header Injection Detection	Detects CRLF injection and header manipulation
HTTP Smuggling Detection	Detects request splitting/smuggling patterns
Response Behavior Anomaly Detection	Monitors deviation in normal HTTP response sizes and types
Content Spoofing Detection	Prevents HTML injection and content mismatch attempts
Clickjacking Protection	Enforces proper X-Frame-Options and behavior analysis
OAuth/OpenID Misuse Detection	Detects misuse or abuse of auth endpoints
Browser Exploit Prevention	Blocks outdated browser versions and vulnerable UAs
CSP Bypass & Inline Script Injection Detection	Flags inline scripts and CSP violation attempts
Honeypot Triggered Bot Detection	Uses decoy forms and fields to flag bots

🔧 These 48 rulebooks are continuously updated and tuned based on live telemetry, honeypot signals, and zero-day intelligence.

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🚦 3. Rate Limiting

Control Mechanism	Description
IP Address	Control requests based on the user's IP address
Geo-location	Control requests based on geographic location
Request Path	Control requests based on the URL path
User-Agent	Control requests based on the user agent (browser)
Authenticated Session	Control requests based on the authenticated session

Actions triggered: Throttle, Block, CAPTCHA, Redirect, Alert

Use cases:

• Prevent brute-force login attacks
• Deter API scraping or enumeration
• Stop rapid abuse of search/product listing

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⚙️ Embedded Rules Engine (7000+ Rules)

Rule Component	Description
Core Rule Groups	Pre-defined rule groups targeting common attack patterns
Managed Rulebooks (48)	Managed sets of rules for various security concerns
Heuristics and Behavior Analyzers	Identify abnormal request patterns using heuristics
AI/LLM Prompt Analyzers	AI-powered analysis of suspicious prompts and behaviors
Bot Detection Heuristics	Detect bot-like behavior using advanced heuristics
Malware and CVE Signature Matchers	Detect known malware and vulnerabilities based on signatures

Each rule is scored, versioned, and has contextual metadata for:

• Threat classification
• False positive suppression
• Tunable confidence thresholds

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✅ Deploy as is or fully customize rules for your specific industry (e.g., fintech, healthcare, e-commerce, SaaS).

🚀 Built for low-latency, high-throughput, and zero-trust environments.

🤖 Bot Protection

Bot Protection is a critical security layer designed to distinguish between good bots (legitimate, helpful bots) and bad bots (malicious or abusive agents). This feature uses behavioral analysis, signature-based detection, rate-limiting, and challenge-based validation to control automated access.

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✅ Good Bots

These are bots from trusted sources that are automatically allowed based on user-agent verification, IP reputation, and reverse DNS lookups:

Category	Verified Bots	Description
Search Engines	Googlebot, Bingbot, Yahoo Slurp, DuckDuckBot, YandexBot, BaiduSpider	Official crawlers indexing content for search visibility and ranking.
Social Networks	Facebook External Hit, Twitterbot, LinkedInBot	Bots used to generate link previews and rich media embeds for shared URLs.
Cloud Services	AWS Health Check, Azure Monitor, GCP AppEngine	Cloud service bots used for uptime monitoring, diagnostics, or syncs.

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🚫 Bad Bots

Bad bots are blocked or challenged using behavior tracking (mouse movement, keyboard emulation), header validation, IP fingerprinting, and known bot signatures.

Type	Examples / Indicators	Description
Security Violators	SQLi scanners, XSS payloads, path fuzzers	Attempt to exploit vulnerabilities through automated requests.
Content Scrapers	HTTrack, Scrapy, Python-urllib, curl, wget	Try to copy entire site content or competitive intelligence.
Bot Emulating Humans	Headless Chrome, Puppeteer, Selenium, PhantomJS	Mimic user behavior using automation to bypass detection.
Social Networks (Fake)	Fake engagement bots on X, Instagram, or Reddit	Post spam, inflate engagement, or distribute misinformation.
Suspicious Behavior	Irregular intervals, rapid clicks, non-human patterns	Fails browser challenges or exhibits erratic navigational paths.
Cloud Services (Abuse)	Abuse from proxy networks like AWS, GCP, Azure	Used to mask botnet origins or launch attacks at scale.
Human Routing Channels	Residential proxy, mobile proxy, P2P botnets	Bots routed via real users or infected devices to bypass IP blocks.

By deploying Bot Protection, you safeguard your application against automated abuse, credential stuffing, data theft, and fake traffic, while ensuring uninterrupted access to beneficial bots.

📈 Anomaly Detection

Feature	Description
Real-time Detection	Monitors traffic for anomalies such as request spikes, pattern deviations, and behavioral oddities in real-time.
How It Works	Utilizes advanced algorithms to continuously analyze data, detect trends, and identify deviations from established patterns.
Data Analysis	Statistical models and machine learning techniques are employed to evaluate data and define normal traffic patterns.
Anomaly Identification	Flags any data point or behavior that deviates significantly from the established norm, potentially indicating errors, fraud, or unusual system behavior.
Custom Thresholds	Allows the configuration of specific thresholds to customize detection based on unique requirements, enhancing precision and reducing false positives.
Alerts and Insights	Instant alerts are triggered upon detecting an anomaly, along with detailed reports to aid in the investigation and resolution of the issue.
Actionable Solutions	Provides insights for corrective actions, optimization, and prevention of potential risks or damages based on the detected anomaly.

Anomaly Detection in ZAPISEC

Component	Details
Anomaly Detection Service	Utilizes advanced algorithms for real-time monitoring and analysis of traffic data.
Continuous Monitoring	Data is continuously evaluated for normal behavior using statistical models and machine learning.
Real-time Alerts	Anomalies trigger real-time alerts and detailed reports for investigation.
Customizable Thresholds	Enables custom threshold settings for precise anomaly detection tailored to specific requirements.
Actionable Insights	Anomalies are accompanied by actionable insights to help mitigate potential risks and optimize system processes.

🛡️ DDoS Protection

Defends against L3-L7 DDoS attacks using smart rule logic and filtering.

Block or Challenge Based On	Details
IP Address or Range	Blocks or challenges by IP or IP range
Geographic Location (Country)	Blocks or challenges by country
ASN (Autonomous System Number)	Blocks or challenges by ASN
HTTP Method, Path, Host	Blocks or challenges by HTTP method, path, or host
Headers, Cookies, and User Agent	Blocks or challenges by headers, cookies, or user agent

Layer	Metrics
Layer 3 (Network)	Packets Per Second (PPS), Bits Per Second (BPS), ICMP Request Rate (Active Session), IP Fragmentation Rate, Source IP Entropy
Layer 4 (Transport)	SYN Packet Rate, UDP Packet Rate, Connection Request Rate (Active Session), Retransmission Rate, Port Distribution
Layer 7 (Application)	HTTP Request Rate, Failed Authentication, Response Time (Latency), Error Rate (SXX HTTP Responses), Bot vs Human Traffic Distribution, DNS Query Rate

🌐 DNS Management

DNS configuration, record management, and propagation monitoring.
Seamless integration with firewall rules for unified security management.

Feature	Description
DNS Records Management	Manage DNS records efficiently and securely.
NameServers Management	Configure and monitor authoritative name servers.
SSL Encryption	Enable SSL certificates for secure DNS queries.
CDN Automation from Backend	Automate Content Delivery Network integration and updates.

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🧩 Use Cases

• Secure your SaaS or eCommerce platform from automated threats
• Protect APIs from abuse or credential stuffing attacks
• Enable selective bot access for indexing and social engagement
• Monitor and mitigate high-traffic anomalies in real-time
• Manage DNS and firewall rules for multi-domain infrastructure

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ZAPISEC - Application Firewall Rules Matrix

Below is a comprehensive comparison of feature availability across different ZAPISEC editions.

Firewall Rule Group	Community	Basic	Premium	Enterprise
Core Fraud Prevention Framework for Account Creation	✅	✅	✅	✅
Bot Detection & Blocking Core Rules	✅	✅	✅	✅
Account Take Over Prevention Core Rule	✅	✅	✅	✅
Common Weak Enumeration & CVE Prevention Core Rule Group	✅	✅	✅	✅
Admin Protection Managed Prevention Core Rule Group	✅	✅	✅	✅
Known Bad Inputs Managed Prevention Core Rule Group	✅	✅	✅	✅
Linux/Unix Operation Systems Managed Prevention Core Rule Group	✅	✅	✅	✅
Windows Operation Systems Managed Prevention Core Rule Group	✅	✅	✅	✅
IP Reputation/Malicious IP’s Managed Prevention Core Rule Group	✅	✅	✅	✅
Sensitive Files and Folders Managed Prevention Core Rule Group	✅	✅	✅	✅
Outdated Browsers Managed Prevention Core Rule Group	❌	✅	✅	✅
Backup Files Managed Prevention Core Rule Group	❌	✅	✅	✅
HTTP Protocol Violation Managed Prevention Core Rule Group	❌	✅	✅	✅
LLM Based Injection/AI Based Injection Prevention Core Rule Group	❌	✅	✅	✅
Prompt Based Injection Prevention Core Rule Group	❌	✅	✅	✅
Credential Stuffing Prevention Core Rule Group	❌	✅	✅	✅
Malware and Virus Prevention Group Core Rule Group	❌	✅	✅	✅
API Abuse Prevention Core Rule Group	❌	✅	✅	✅
Zero-Day Exploit Protection Core Rule Group	❌	✅	✅	✅
Device Fingerprinting Core Rule Group	❌	❌	✅	✅
Geolocation and IP Reputation Core Rule Group	❌	❌	✅	✅
Web Shell Detection Core Rule Group	❌	❌	✅	✅
Content Security Group Core Rule Group	❌	❌	✅	✅
Phishing Prevention Core Rule Group	❌	❌	✅	✅
Laravel PHP Framework Core Rule Group	❌	❌	✅	✅
Spring Boot Framework Core Rule Group	❌	❌	✅	✅
Wordpress Framework Core Rule Group	❌	❌	✅	✅
Drupal Framework Core Rule Group	❌	❌	✅	✅
Joomla Framework Core Rule Group	❌	❌	✅	✅
Magento Framework Core Rule Group	❌	❌	❌	✅
Express Node Framework Core Rule Group	❌	❌	❌	✅
Flask Python Framework Core Rule Group	❌	❌	❌	✅
SQL Injection Prevention Core Rule Group	❌	❌	❌	✅
XSS Injection Prevention Core Rule Group	❌	❌	❌	✅
Command Injection Prevention Core Rule Group	❌	❌	❌	✅
Open Redirect Prevention Core Rule Group	❌	❌	❌	✅
XXE Injection Prevention Core Rule Group	❌	❌	❌	✅
RFI-LFI Injection Prevention Core Rule Group	❌	❌	❌	✅
ASP.NET Language Prevention Core Rule Group	❌	❌	❌	✅
Known REST API Exploits Prevention Core Rule Group	❌	❌	❌	✅
Known GRAPHQL API Exploits Prevention Core Rule Group	❌	❌	❌	✅
Spring MVC Prevention Core Rule Group	❌	❌	❌	✅
CakePHP Prevention Core Rule Group	❌	❌	❌	✅
Kubernetes API Prevention Core Rule Group	❌	❌	❌	✅
Docker API Prevention Core Rule Group	❌	❌	❌	✅
AWS API’s Prevention Core Rule Group	❌	❌	❌	✅
Azure API’s Prevention Core Rule Group	❌	❌	❌	✅
GCP API’s Prevention Core Rule Group	❌	❌	❌	✅

Application Firewall Rules & Features

This table provides an overview of the features available in different editions of the Application Firewall. The tick marks (✅) indicate availability, while the cross marks (❌) indicate features not available in that edition.

Feature	Community Edition	Basic Edition	Premium Plan	Enterprise Edition
Application Firewall	✅	✅	✅	✅
Bot Protection	❌	❌	✅	✅
DDoS Mitigation	❌	❌	✅	✅
Anomaly Detection	❌	❌	❌	✅

Application Firewall Architecture

Application Firewall Architecture	Anomaly Detection Architecture	DDOS Agent Architecture	BOT Agent Architecture

📚 Docs & Resources

• 📘 Platform Features
• 🛠️ Firewall Rules
• 🚦 Bot Protection Overview
• 📊 Anomaly Detection Explained
• 🛡️ DDoS Rule Examples
• 🌍 DNS Setup Guide
• 📦 Sample JSON Configs
• 🙋‍♂️ Support
• 🔐 Security Policy
• ❓ Frequently Asked Questions

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💬 Get Involved

We welcome contributions from developers, researchers, and users alike. Here's how to participate:

• 💭 Start or Join a Discussion
• 🐞 Report Bugs
• ✨ Request Features
• 👨‍💻 Contribute Code or Docs
• 📬 Stay updated via Changelog

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🧑‍🤝‍🧑 Community Guidelines

We are committed to creating a safe and welcoming space for everyone. Please review our Code of Conduct before contributing or engaging.

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🌍 Join the Security Revolution

ZAPISEC is more than a firewall — it's a security ecosystem for the modern web. This community is your gateway to mastering and shaping the future of web defense. Share feedback, suggest improvements, learn from others, and secure the internet — together.

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