Identity security

Identity Security

Advanced digital identity security immunity technology provides robust protection against various digital identity threats.

situational awareness

Identity Threat Situational Awareness

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Situational awareness accurately perceives identity authentication business statistics and trend changes through massive multi-source log data collection and analysis, as well as intelligent trend analysis and statistics. Meanwhile, based on big data collection and identity threat logs, it clearly perceives the current and future trends of identity threats in business systems. Using knowledge graph technology, it performs big data correlation analysis through account, device, network identity, and client fingerprint identity data to trace and identify the true identity of visitors or attackers with tracking and tracing capabilities.

Threat alarm

Threat Alerts

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Through leading next-generation identity security technology and advanced Identity Threat Detection and Response (ITDR) capabilities, we detect multiple types of identity threats and analyze data security behaviors during identity access and business system interactions. Real-time multi-type responses and blocking are performed on discovered identity authentication and threat behaviors to prevent potential identity threats and issue real-time alerts before problems occur, addressing and eliminating threats through manual and automated response strategies.

Covers 500+ rules including CVE vulnerabilities, component vulnerabilities, SQL injection, XSS session security, API security, logic vulnerabilities, etc. Hundreds of rules are updated annually.

Network brute force attacks, device brute force attacks, credential stuffing, password cracking, etc.

High device access frequency, high network access frequency, bot operations, proxy IP access, inconsistent session IP, inconsistent session UA, identified attack risk IP, blacklisted phone number access, VPN access behavior (WebRTC detection), device information collection failure, remote login, unknown device, abnormal device access, account login lockout, device login lockout, network login lockout, device registration lockout, network registration lockout, account password reset restriction, device password reset restriction, network password reset restriction, etc.

OTP verification success, registration success, registration failure, password reset success, password reset failure, two-factor login success, two-factor login failure, login success, login failure, OTP verification failure, etc.

WuThreat AI

WuThreat AI Large Model

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WuThreat AI, composed of AI Human-Machine Intelligent Interaction Model, AI Web Threat Detection, and AI Large Model Intelligent Operations Analysis, provides comprehensive capabilities for identifying human-machine behavior and anti-fraud identity threat attacks, detecting web application identity threat attacks on business systems and centralized devices, deep prediction and correlation of identity threat behaviors through large models, and analysis by security intelligent operations experts. This significantly enhances next-generation identity security products' AI capabilities in deep detection, intelligent response, and comprehensive analysis, improving interaction experience and web identity security detection capabilities in identity scenarios.

Through deep learning AI, intelligent behavior CAPTCHA, intelligent collection engine, business threat intelligence, intelligent blacklist/whitelist and other capabilities, comprehensive analysis is performed on network (IP address, geolocation, precise positioning, VPN behavior real IP confrontation, real-time proxy IP threat intelligence), account (username, email, phone number, social platforms, multi-factor), device (access tool client fingerprints, automation, hacker tool fingerprints), intelligence (blacklisted cards, blacklisted email threat intelligence, suspicious device fingerprint database), and AI models (PC/mobile device fingerprints, behavioral intelligent CAPTCHA) involved in identity authentication functions.

AI technology enables real-time detection of identity authentication traffic and identification of unexpected behaviors or data points, thereby recognizing web vulnerability types (SQL injection, XSS vulnerabilities, deserialization, remote/local code command injection vulnerabilities, upload vulnerabilities, weak credentials/unauthorized access, etc.) and major application system types (middleware, open-source components, open-source systems, collaborative office systems, email systems, network and network security devices, operations infrastructure, etc.).

Through deployment of a privatized large model with 7 billion parameters, using massive network attacks, attack knowledge bases, vulnerability threats and intelligence, identity attack methods, rich attacker profiles, and access log analysis as training samples, deep prediction and correlation of identity threat behaviors is achieved. In intelligent operations analysis, by collecting asset vulnerability threats, vulnerability knowledge bases, and intelligent security knowledge base materials, as well as providing optimal security recommendations, intelligent security Q&A, and online senior security experts, it eliminates daily alert interference and handles special security emergencies, shortens threat response time, and helps analysts integrate clues existing between different threats.

Vulnerability threat

Vulnerability Threats

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The TVD Vulnerability Intelligence Center maintains 390,000 vulnerability intelligence entries across the entire network and can immediately discover exploitable vulnerabilities. Currently, it possesses thousands of exploit vulnerability detection capabilities for exploitable vulnerability threats. Through rapid vulnerability threat detection of internet assets, internal business system assets, and centralized device assets, it discovers open dangerous ports and exploitable identity security threat vulnerabilities, including but not limited to SQL injection, XSS vulnerabilities, remote code execution vulnerabilities, open-source component vulnerabilities, deserialization vulnerabilities, etc. The vulnerability threat discovery capability is updated with hundreds of vulnerability plugins annually.

Identity Access Behavior Analysis

AI-driven intelligent analysis engine providing comprehensive insights into identity access behavior with real-time threat and anomaly detection

01

Activity Analysis

In activity scenarios such as subscription services, promotions, and campaigns, our next-generation identity security data analysis engine analyzes identity interaction behavior within activity contexts. All identity interaction request traffic is processed through the identity access behavior analysis engine, analyzing raw access data and displaying trends or anomalies through reports and alerts.

Provides customers with user access, application access, and user profiling analysis, helping enterprises understand identity module services and customer usage habits. After accumulating sufficient data, we provide proprietary identity threat rules, feature customization, and user profiling to assess identity validity and security, and analyze abnormal activities such as anti-crawling attacks, network brute force attacks, device brute force attacks, credential stuffing, and password cracking.

02

Authentication Analysis

In authentication scenarios including login (username/password, phone/email verification codes, social login, identity tokens, etc.), registration (phone/email verification code registration, one-click social registration, etc.), and password recovery (phone/email verification code password changes, identity token password changes), our next-generation identity security data analysis engine analyzes identity interaction behavior in authentication contexts.

Analyzes user authentication processes by monitoring multi-factor authentication, single sign-on, and other authentication methods to detect excessive device access frequency, high network access frequency, bot operations, proxy IP access, inconsistent session IPs, inconsistent session UAs, attack risk IPs, blacklisted phone numbers, VPN access behavior (WebRTC identification), failed device information collection, remote logins, unknown devices, abnormal device access, account/device/network login lockouts, device/network registration lockouts, and account/device/network password reset restrictions, identifying potential identity impersonation and unauthorized access.

03

Business Backend Analysis

In business backend scenarios such as user management, project management, financial reports, and order systems, our next-generation identity security data analysis engine maps user URL access into business function module access behavior for analysis. Statistically analyzes backend system and application access and operations, including application access records, user business function module access records, user habitual access behavior, and abnormal time access behavior.

Detects high-frequency access behavior (network, device, IP, account, business modules, etc.), high-sensitivity access behavior (sensitive business modules, abnormal read/write/delete operations, malicious uploads, etc.), and identity anomaly access behavior (remote logins, unknown devices, identity credential theft, privilege escalation, etc.). When such behaviors are detected, corresponding risk mitigation strategies are immediately implemented to protect business data security, help organizations make decisions, improve customer satisfaction, and identify identity threat trends and risks.

Web security detection

Web Security Detection

Component Vulnerabilities / SQL Injection / XSS Session Security / API Security / Logic Vulnerabilities / AI Model / 300+ Rules

Facing common web component vulnerabilities, SQL injection, XSS session security, API security, and logic vulnerabilities, we strengthen input filtering and validation to prevent SQL injection and XSS attacks. Simultaneously, we manage sessions securely using encryption and verification mechanisms to protect users' sensitive data. Additionally, we conduct security assessments and testing of system APIs to ensure sufficient protection against external attacks and malicious behaviors. With our proprietary AI model and 300+ rules, we categorize web access detection into critical, high, medium, and low-risk levels.

Account Security

Weak Passwords / Credential Stuffing / Brute Force / Account Theft Risk / SSO Vulnerabilities / SMS Attacks / 50+ Rules

Targeting common account security issues such as weak passwords, credential stuffing, brute force attacks, account theft risks, SSO vulnerabilities, and SMS attacks, we have established over 50 rules based on their attack characteristics for account attack behaviors, authentication behaviors, and login behaviors. Regular rule updates help improve account security, reduce the risk of account attacks, and adapt to evolving security threats and attack techniques.

Anti Fraud

Anti-Fraud

Bonus Hunters / Traffic Manipulation / Web Scraping / Bot Attacks / Anonymous IP Access / CAPTCHA Bypass / Virtual Numbers / Untrusted Devices / 100+ Rules

In business security, login portals and interfaces frequently face third-party bypass attempts and probing, such as bonus hunters, web scrapers, anonymous IP access, CAPTCHA bypass, verification bypass, and spam data. To counter these risks, our CAPTCHA system performs real-time dynamic behavioral detection while offering various difficulty levels including slide CAPTCHA, text-click CAPTCHA, image-click CAPTCHA, icon-click CAPTCHA, and 3D spatial reasoning CAPTCHA. We also detect browser JS information (collecting user device data), maintain a proxy IP database (2 million daily active updates), an SSL fingerprint library (thousands of whitelist entries, hacker tools, and automation tool fingerprints), and comprehensive databases of malicious phone numbers (tens of millions active) and malicious/virtual email addresses (network-wide coverage).

WuThreat Identity Security Cloud provides comprehensive identity security solutions. Contact us for early access!

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