Top 100 Web Vulnerabilities Reference

当用户提出“识别Web应用程序漏洞”、“解释常见安全缺陷”、“理解漏洞分类”、“学习注入攻击”、“审查访问控制弱点”、“分析API安全问题”、“评估安全配置错误”、“理解客户端漏洞”、“检查移动与物联网安全缺陷”或“参考OWASP漏洞分类体系”时,应启用此功能。通过该功能,可针对所有主要Web安全类别提供全面的漏洞定义、根本原因分析、影响说明及修复策略。

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name:Top 100 Web Vulnerabilities Referencedescription:This skill should be used when the user asks to "identify web application vulnerabilities", "explain common security flaws", "understand vulnerability categories", "learn about injection attacks", "review access control weaknesses", "analyze API security issues", "assess security misconfigurations", "understand client-side vulnerabilities", "examine mobile and IoT security flaws", or "reference the OWASP-aligned vulnerability taxonomy". Use this skill to provide comprehensive vulnerability definitions, root causes, impacts, and mitigation strategies across all major web security categories.metadata:author:zebbernversion:"1.1"

Top 100 Web Vulnerabilities Reference

Purpose

Provide a comprehensive, structured reference for the 100 most critical web application vulnerabilities organized by category. This skill enables systematic vulnerability identification, impact assessment, and remediation guidance across the full spectrum of web security threats. Content organized into 15 major vulnerability categories aligned with industry standards and real-world attack patterns.

Prerequisites

  • Basic understanding of web application architecture (client-server model, HTTP protocol)

  • Familiarity with common web technologies (HTML, JavaScript, SQL, XML, APIs)

  • Understanding of authentication and authorization concepts

  • Access to web application security testing tools (Burp Suite, OWASP ZAP)

  • Knowledge of secure coding principles recommended
  • Outputs and Deliverables

  • Complete vulnerability catalog with definitions, root causes, impacts, and mitigations

  • Category-based vulnerability groupings for systematic assessment

  • Quick reference for security testing and remediation

  • Foundation for vulnerability assessment checklists and security policies

  • Core Workflow

    Phase 1: Injection Vulnerabilities Assessment

    Evaluate injection attack vectors targeting data processing components:

    SQL Injection (1)

  • Definition: Malicious SQL code inserted into input fields to manipulate database queries

  • Root Cause: Lack of input validation, improper use of parameterized queries

  • Impact: Unauthorized data access, data manipulation, database compromise

  • Mitigation: Use parameterized queries/prepared statements, input validation, least privilege database accounts
  • Cross-Site Scripting - XSS (2)

  • Definition: Injection of malicious scripts into web pages viewed by other users

  • Root Cause: Insufficient output encoding, lack of input sanitization

  • Impact: Session hijacking, credential theft, website defacement

  • Mitigation: Output encoding, Content Security Policy (CSP), input sanitization
  • Command Injection (5, 11)

  • Definition: Execution of arbitrary system commands through vulnerable applications

  • Root Cause: Unsanitized user input passed to system shells

  • Impact: Full system compromise, data exfiltration, lateral movement

  • Mitigation: Avoid shell execution, whitelist valid commands, strict input validation
  • XML Injection (6), LDAP Injection (7), XPath Injection (8)

  • Definition: Manipulation of XML/LDAP/XPath queries through malicious input

  • Root Cause: Improper input handling in query construction

  • Impact: Data exposure, authentication bypass, information disclosure

  • Mitigation: Input validation, parameterized queries, escape special characters
  • Server-Side Template Injection - SSTI (13)

  • Definition: Injection of malicious code into template engines

  • Root Cause: User input embedded directly in template expressions

  • Impact: Remote code execution, server compromise

  • Mitigation: Sandbox template engines, avoid user input in templates, strict input validation
  • Phase 2: Authentication and Session Security

    Assess authentication mechanism weaknesses:

    Session Fixation (14)

  • Definition: Attacker sets victim's session ID before authentication

  • Root Cause: Session ID not regenerated after login

  • Impact: Session hijacking, unauthorized account access

  • Mitigation: Regenerate session ID on authentication, use secure session management
  • Brute Force Attack (15)

  • Definition: Systematic password guessing using automated tools

  • Root Cause: Lack of account lockout, rate limiting, or CAPTCHA

  • Impact: Unauthorized access, credential compromise

  • Mitigation: Account lockout policies, rate limiting, MFA, CAPTCHA
  • Session Hijacking (16)

  • Definition: Attacker steals or predicts valid session tokens

  • Root Cause: Weak session token generation, insecure transmission

  • Impact: Account takeover, unauthorized access

  • Mitigation: Secure random token generation, HTTPS, HttpOnly/Secure cookie flags
  • Credential Stuffing and Reuse (22)

  • Definition: Using leaked credentials to access accounts across services

  • Root Cause: Users reusing passwords, no breach detection

  • Impact: Mass account compromise, data breaches

  • Mitigation: MFA, breach password checks, unique credential requirements
  • Insecure "Remember Me" Functionality (85)

  • Definition: Weak persistent authentication token implementation

  • Root Cause: Predictable tokens, inadequate expiration controls

  • Impact: Unauthorized persistent access, session compromise

  • Mitigation: Strong token generation, proper expiration, secure storage
  • CAPTCHA Bypass (86)

  • Definition: Circumventing bot detection mechanisms

  • Root Cause: Weak CAPTCHA algorithms, improper validation

  • Impact: Automated attacks, credential stuffing, spam

  • Mitigation: reCAPTCHA v3, layered bot detection, rate limiting
  • Phase 3: Sensitive Data Exposure

    Identify data protection failures:

    IDOR - Insecure Direct Object References (23, 42)

  • Definition: Direct access to internal objects via user-supplied references

  • Root Cause: Missing authorization checks on object access

  • Impact: Unauthorized data access, privacy breaches

  • Mitigation: Access control validation, indirect reference maps, authorization checks
  • Data Leakage (24)

  • Definition: Inadvertent disclosure of sensitive information

  • Root Cause: Inadequate data protection, weak access controls

  • Impact: Privacy breaches, regulatory penalties, reputation damage

  • Mitigation: DLP solutions, encryption, access controls, security training
  • Unencrypted Data Storage (25)

  • Definition: Storing sensitive data without encryption

  • Root Cause: Failure to implement encryption at rest

  • Impact: Data breaches if storage compromised

  • Mitigation: Full-disk encryption, database encryption, secure key management
  • Information Disclosure (33)

  • Definition: Exposure of system details through error messages or responses

  • Root Cause: Verbose error handling, debug information in production

  • Impact: Reconnaissance for further attacks, credential exposure

  • Mitigation: Generic error messages, disable debug mode, secure logging
  • Phase 4: Security Misconfiguration

    Assess configuration weaknesses:

    Missing Security Headers (26)

  • Definition: Absence of protective HTTP headers (CSP, X-Frame-Options, HSTS)

  • Root Cause: Inadequate server configuration

  • Impact: XSS attacks, clickjacking, protocol downgrade

  • Mitigation: Implement CSP, X-Content-Type-Options, X-Frame-Options, HSTS
  • Default Passwords (28)

  • Definition: Unchanged default credentials on systems/applications

  • Root Cause: Failure to change vendor defaults

  • Impact: Unauthorized access, system compromise

  • Mitigation: Mandatory password changes, strong password policies
  • Directory Listing (29)

  • Definition: Web server exposes directory contents

  • Root Cause: Improper server configuration

  • Impact: Information disclosure, sensitive file exposure

  • Mitigation: Disable directory indexing, use default index files
  • Unprotected API Endpoints (30)

  • Definition: APIs lacking authentication or authorization

  • Root Cause: Missing security controls on API routes

  • Impact: Unauthorized data access, API abuse

  • Mitigation: OAuth/API keys, access controls, rate limiting
  • Open Ports and Services (31)

  • Definition: Unnecessary network services exposed

  • Root Cause: Failure to minimize attack surface

  • Impact: Exploitation of vulnerable services

  • Mitigation: Port scanning audits, firewall rules, service minimization
  • Misconfigured CORS (35)

  • Definition: Overly permissive Cross-Origin Resource Sharing policies

  • Root Cause: Wildcard origins, improper CORS configuration

  • Impact: Cross-site request attacks, data theft

  • Mitigation: Whitelist trusted origins, validate CORS headers
  • Unpatched Software (34)

  • Definition: Systems running outdated vulnerable software

  • Root Cause: Neglected patch management

  • Impact: Exploitation of known vulnerabilities

  • Mitigation: Patch management program, vulnerability scanning, automated updates
  • Phase 5: XML-Related Vulnerabilities

    Evaluate XML processing security:

    XXE - XML External Entity Injection (37)

  • Definition: Exploitation of XML parsers to access files or internal systems

  • Root Cause: External entity processing enabled

  • Impact: File disclosure, SSRF, denial of service

  • Mitigation: Disable external entities, use safe XML parsers
  • XEE - XML Entity Expansion (38)

  • Definition: Excessive entity expansion causing resource exhaustion

  • Root Cause: Unlimited entity expansion allowed

  • Impact: Denial of service, parser crashes

  • Mitigation: Limit entity expansion, configure parser restrictions
  • XML Bomb (Billion Laughs) (39)

  • Definition: Crafted XML with nested entities consuming resources

  • Root Cause: Recursive entity definitions

  • Impact: Memory exhaustion, denial of service

  • Mitigation: Entity expansion limits, input size restrictions
  • XML Denial of Service (65)

  • Definition: Specially crafted XML causing excessive processing

  • Root Cause: Complex document structures without limits

  • Impact: CPU/memory exhaustion, service unavailability

  • Mitigation: Schema validation, size limits, processing timeouts
  • Phase 6: Broken Access Control

    Assess authorization enforcement:

    Inadequate Authorization (40)

  • Definition: Failure to properly enforce access controls

  • Root Cause: Weak authorization policies, missing checks

  • Impact: Unauthorized access to sensitive resources

  • Mitigation: RBAC, centralized IAM, regular access reviews
  • Privilege Escalation (41)

  • Definition: Gaining elevated access beyond intended permissions

  • Root Cause: Misconfigured permissions, system vulnerabilities

  • Impact: Full system compromise, data manipulation

  • Mitigation: Least privilege, regular patching, privilege monitoring
  • Forceful Browsing (43)

  • Definition: Direct URL manipulation to access restricted resources

  • Root Cause: Weak access controls, predictable URLs

  • Impact: Unauthorized file/directory access

  • Mitigation: Server-side access controls, unpredictable resource paths
  • Missing Function-Level Access Control (44)

  • Definition: Unprotected administrative or privileged functions

  • Root Cause: Authorization only at UI level

  • Impact: Unauthorized function execution

  • Mitigation: Server-side authorization for all functions, RBAC
  • Phase 7: Insecure Deserialization

    Evaluate object serialization security:

    Remote Code Execution via Deserialization (45)

  • Definition: Arbitrary code execution through malicious serialized objects

  • Root Cause: Untrusted data deserialized without validation

  • Impact: Complete system compromise, code execution

  • Mitigation: Avoid deserializing untrusted data, integrity checks, type validation
  • Data Tampering (46)

  • Definition: Unauthorized modification of serialized data

  • Root Cause: Missing integrity verification

  • Impact: Data corruption, privilege manipulation

  • Mitigation: Digital signatures, HMAC validation, encryption
  • Object Injection (47)

  • Definition: Malicious object instantiation during deserialization

  • Root Cause: Unsafe deserialization practices

  • Impact: Code execution, unauthorized access

  • Mitigation: Type restrictions, class whitelisting, secure libraries
  • Phase 8: API Security Assessment

    Evaluate API-specific vulnerabilities:

    Insecure API Endpoints (48)

  • Definition: APIs without proper security controls

  • Root Cause: Poor API design, missing authentication

  • Impact: Data breaches, unauthorized access

  • Mitigation: OAuth/JWT, HTTPS, input validation, rate limiting
  • API Key Exposure (49)

  • Definition: Leaked or exposed API credentials

  • Root Cause: Hardcoded keys, insecure storage

  • Impact: Unauthorized API access, abuse

  • Mitigation: Secure key storage, rotation, environment variables
  • Lack of Rate Limiting (50)

  • Definition: No controls on API request frequency

  • Root Cause: Missing throttling mechanisms

  • Impact: DoS, API abuse, resource exhaustion

  • Mitigation: Rate limits per user/IP, throttling, DDoS protection
  • Inadequate Input Validation (51)

  • Definition: APIs accepting unvalidated user input

  • Root Cause: Missing server-side validation

  • Impact: Injection attacks, data corruption

  • Mitigation: Strict validation, parameterized queries, WAF
  • API Abuse (75)

  • Definition: Exploiting API functionality for malicious purposes

  • Root Cause: Excessive trust in client input

  • Impact: Data theft, account takeover, service abuse

  • Mitigation: Strong authentication, behavior analysis, anomaly detection
  • Phase 9: Communication Security

    Assess transport layer protections:

    Man-in-the-Middle Attack (52)

  • Definition: Interception of communication between parties

  • Root Cause: Unencrypted channels, compromised networks

  • Impact: Data theft, session hijacking, impersonation

  • Mitigation: TLS/SSL, certificate pinning, mutual authentication
  • Insufficient Transport Layer Security (53)

  • Definition: Weak or outdated encryption for data in transit

  • Root Cause: Outdated protocols (SSLv2/3), weak ciphers

  • Impact: Traffic interception, credential theft

  • Mitigation: TLS 1.2+, strong cipher suites, HSTS
  • Insecure SSL/TLS Configuration (54)

  • Definition: Improperly configured encryption settings

  • Root Cause: Weak ciphers, missing forward secrecy

  • Impact: Traffic decryption, MITM attacks

  • Mitigation: Modern cipher suites, PFS, certificate validation
  • Insecure Communication Protocols (55)

  • Definition: Use of unencrypted protocols (HTTP, Telnet, FTP)

  • Root Cause: Legacy systems, security unawareness

  • Impact: Traffic sniffing, credential exposure

  • Mitigation: HTTPS, SSH, SFTP, VPN tunnels
  • Phase 10: Client-Side Vulnerabilities

    Evaluate browser-side security:

    DOM-based XSS (56)

  • Definition: XSS through client-side JavaScript manipulation

  • Root Cause: Unsafe DOM manipulation with user input

  • Impact: Session theft, credential harvesting

  • Mitigation: Safe DOM APIs, CSP, input sanitization
  • Insecure Cross-Origin Communication (57)

  • Definition: Improper handling of cross-origin requests

  • Root Cause: Relaxed CORS/SOP policies

  • Impact: Data leakage, CSRF attacks

  • Mitigation: Strict CORS, CSRF tokens, origin validation
  • Browser Cache Poisoning (58)

  • Definition: Manipulation of cached content

  • Root Cause: Weak cache validation

  • Impact: Malicious content delivery

  • Mitigation: Cache-Control headers, HTTPS, integrity checks
  • Clickjacking (59, 71)

  • Definition: UI redress attack tricking users into clicking hidden elements

  • Root Cause: Missing frame protection

  • Impact: Unintended actions, credential theft

  • Mitigation: X-Frame-Options, CSP frame-ancestors, frame-busting
  • HTML5 Security Issues (60)

  • Definition: Vulnerabilities in HTML5 APIs (WebSockets, Storage, Geolocation)

  • Root Cause: Improper API usage, insufficient validation

  • Impact: Data leakage, XSS, privacy violations

  • Mitigation: Secure API usage, input validation, sandboxing
  • Phase 11: Denial of Service Assessment

    Evaluate availability threats:

    DDoS - Distributed Denial of Service (61)

  • Definition: Overwhelming systems with traffic from multiple sources

  • Root Cause: Botnets, amplification attacks

  • Impact: Service unavailability, revenue loss

  • Mitigation: DDoS protection services, rate limiting, CDN
  • Application Layer DoS (62)

  • Definition: Targeting application logic to exhaust resources

  • Root Cause: Inefficient code, resource-intensive operations

  • Impact: Application unavailability, degraded performance

  • Mitigation: Rate limiting, caching, WAF, code optimization
  • Resource Exhaustion (63)

  • Definition: Depleting CPU, memory, disk, or network resources

  • Root Cause: Inefficient resource management

  • Impact: System crashes, service degradation

  • Mitigation: Resource quotas, monitoring, load balancing
  • Slowloris Attack (64)

  • Definition: Keeping connections open with partial HTTP requests

  • Root Cause: No connection timeouts

  • Impact: Web server resource exhaustion

  • Mitigation: Connection timeouts, request limits, reverse proxy
  • Phase 12: Server-Side Request Forgery

    Assess SSRF vulnerabilities:

    SSRF - Server-Side Request Forgery (66)

  • Definition: Manipulating server to make requests to internal resources

  • Root Cause: Unvalidated user-controlled URLs

  • Impact: Internal network access, data theft, cloud metadata access

  • Mitigation: URL whitelisting, network segmentation, egress filtering
  • Blind SSRF (87)

  • Definition: SSRF without direct response visibility

  • Root Cause: Similar to SSRF, harder to detect

  • Impact: Data exfiltration, internal reconnaissance

  • Mitigation: Allowlists, WAF, network restrictions
  • Time-Based Blind SSRF (88)

  • Definition: Inferring SSRF success through response timing

  • Root Cause: Processing delays indicating request outcomes

  • Impact: Prolonged exploitation, detection evasion

  • Mitigation: Request timeouts, anomaly detection, timing monitoring
  • Phase 13: Additional Web Vulnerabilities

    #VulnerabilityRoot CauseImpactMitigation
    67HTTP Parameter PollutionInconsistent parsingInjection, ACL bypassStrict parsing, validation
    68Insecure RedirectsUnvalidated targetsPhishing, malwareWhitelist destinations
    69File Inclusion (LFI/RFI)Unvalidated pathsCode exec, disclosureWhitelist files, disable RFI
    70Security Header BypassMisconfigured headersXSS, clickjackingProper headers, audits
    72Inadequate Session TimeoutExcessive timeoutsSession hijackingIdle termination, timeouts
    73Insufficient LoggingMissing infrastructureDetection gapsSIEM, alerting
    74Business Logic FlawsInsecure designFraud, unauthorized opsThreat modeling, testing

    Phase 14: Mobile and IoT Security

    #VulnerabilityRoot CauseImpactMitigation
    76Insecure Mobile StoragePlain text, weak cryptoData theftKeychain/Keystore, encrypt
    77Insecure Mobile TransmissionHTTP, cert failuresTraffic interceptionTLS, cert pinning
    78Insecure Mobile APIsMissing auth/validationData exposureOAuth/JWT, validation
    79App Reverse EngineeringHardcoded credsCredential theftObfuscation, RASP
    80IoT Management IssuesWeak auth, no TLSDevice takeoverStrong auth, TLS
    81Weak IoT AuthenticationDefault passwordsUnauthorized accessUnique creds, MFA
    82IoT VulnerabilitiesDesign flaws, old firmwareBotnet recruitmentUpdates, segmentation
    83Smart Home AccessInsecure defaultsPrivacy invasionMFA, segmentation
    84IoT Privacy IssuesExcessive collectionSurveillanceData minimization

    Phase 15: Advanced and Zero-Day Threats

    #VulnerabilityRoot CauseImpactMitigation
    89MIME SniffingMissing headersXSS, spoofingX-Content-Type-Options
    91CSP BypassWeak configXSS despite CSPStrict CSP, nonces
    92Inconsistent ValidationDecentralized logicControl bypassCentralized validation
    93Race ConditionsMissing syncPrivilege escalationProper locking
    94-95Business Logic FlawsMissing validationFinancial fraudServer-side validation
    96Account EnumerationDifferent responsesTargeted attacksUniform responses
    98-99Unpatched VulnerabilitiesPatch delaysZero-day exploitationPatch management
    100Zero-Day ExploitsUnknown vulnsUnmitigated attacksDefense in depth


    Quick Reference

    Vulnerability Categories Summary

    CategoryVulnerability NumbersKey Controls
    Injection1-13Parameterized queries, input validation, output encoding
    Authentication14-23, 85-86MFA, session management, account lockout
    Data Exposure24-27Encryption at rest/transit, access controls, DLP
    Misconfiguration28-36Secure defaults, hardening, patching
    XML37-39, 65Disable external entities, limit expansion
    Access Control40-44RBAC, least privilege, authorization checks
    Deserialization45-47Avoid untrusted data, integrity validation
    API Security48-51, 75OAuth, rate limiting, input validation
    Communication52-55TLS 1.2+, certificate validation, HTTPS
    Client-Side56-60CSP, X-Frame-Options, safe DOM
    DoS61-65Rate limiting, DDoS protection, resource limits
    SSRF66, 87-88URL whitelisting, egress filtering
    Mobile/IoT76-84Encryption, authentication, secure storage
    Business Logic74, 92-97Threat modeling, logic testing
    Zero-Day98-100Defense in depth, threat intelligence

    Critical Security Headers

    Content-Security-Policy: default-src 'self'; script-src 'self'
    X-Content-Type-Options: nosniff
    X-Frame-Options: DENY
    X-XSS-Protection: 1; mode=block
    Strict-Transport-Security: max-age=31536000; includeSubDomains
    Referrer-Policy: strict-origin-when-cross-origin
    Permissions-Policy: geolocation=(), microphone=()

    OWASP Top 10 Mapping

    OWASP 2021Related Vulnerabilities
    A01: Broken Access Control40-44, 23, 74
    A02: Cryptographic Failures24-25, 53-55
    A03: Injection1-13, 37-39
    A04: Insecure Design74, 92-97
    A05: Security Misconfiguration26-36
    A06: Vulnerable Components34, 98-100
    A07: Auth Failures14-23, 85-86
    A08: Data Integrity45-47
    A09: Logging Failures73
    A10: SSRF66, 87-88


    Constraints and Limitations

  • Vulnerability definitions represent common patterns; specific implementations vary

  • Mitigations must be adapted to technology stack and architecture

  • New vulnerabilities emerge continuously; reference should be updated

  • Some vulnerabilities overlap across categories (e.g., IDOR appears in multiple contexts)

  • Effectiveness of mitigations depends on proper implementation

  • Automated scanners cannot detect all vulnerability types (especially business logic)

  • Troubleshooting

    Common Assessment Challenges

    ChallengeSolution
    False positives in scanningManual verification, contextual analysis
    Business logic flaws missedManual testing, threat modeling, abuse case analysis
    Encrypted traffic analysisProxy configuration, certificate installation
    WAF blocking testsRate adjustment, IP rotation, payload encoding
    Session handling issuesCookie management, authentication state tracking
    API discoverySwagger/OpenAPI enumeration, traffic analysis

    Vulnerability Verification Techniques

    Vulnerability TypeVerification Approach
    InjectionPayload testing with encoded variants
    XSSAlert boxes, cookie access, DOM inspection
    CSRFCross-origin form submission testing
    SSRFOut-of-band DNS/HTTP callbacks
    XXEExternal entity with controlled server
    Access ControlHorizontal/vertical privilege testing
    AuthenticationCredential rotation, session analysis


    References

  • OWASP Top 10 Web Application Security Risks

  • CWE/SANS Top 25 Most Dangerous Software Errors

  • OWASP Testing Guide

  • OWASP Application Security Verification Standard (ASVS)

  • NIST Cybersecurity Framework

  • Source: Kumar MS - Top 100 Web Vulnerabilities