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OWASP TOP 10 — COMPLETE IN-DEPTH GUIDE


šŸ“˜ OWASP TOP 10 — COMPLETE IN-DEPTH GUIDE (BASIC → ADVANCED)

Covers all 10 categories with:

  • Fundamentals
  • Root causes
  • Architecture-level impact
  • Threat modeling view
  • Business impact
  • Developer mistakes
  • Defensive patterns
  • Testing & exploitation techniques
  • Tools
  • Real examples
  • .NET Core perspective (when relevant)

šŸ”„ A01 — BROKEN ACCESS CONTROL

The #1 risk because access control failures appear in over 90% of tested applications.


1. What It Is

Access Control = Who can do what in the system.

Broken Access Control occurs when:

  • Users access data they shouldn’t
  • Users perform actions they shouldn’t
  • Unauthorized internal access is possible
  • Server trusts client-side enforcement
  • Object-level access is not checked

2. Real-world Examples

  • User modifies /profile?id=2345 → sees another user’s account
  • Regular user calling an admin API /admin/deleteUser?id=999
  • Hidden buttons removed in UI but API still accessible
  • File download endpoint leaks sensitive files
  • SSRF (2021 separate category) enabling access to internal metadata server (now treated as access control failure)

3. Types of Access Control Failures

3.1 Horizontal Privilege Escalation

Accessing another user’s data.

3.2 Vertical Privilege Escalation

Non-admin performing admin-level functions.

3.3 Context Bypass

Skipping steps:

  • Reset password without previous verification
  • Accessing protected resources directly

3.4 Broken Object-Level Authorization (BOLA)

Most common in APIs.
Example: /api/users/4/settings accessible by user 1.


4. Root Causes

  • No server-side authorization checks
  • Using IDs directly from client input
  • Relying on UI to hide privileged actions
  • Over-trusting JWT claims or client-side roles
  • Misconfigured frameworks
  • No policy-based access control

5. Impact

  • Data breach
  • Account takeover
  • Unauthorized overdraft/money transfer
  • Full system compromise via SSRF or internal resource access
  • Regulatory/legal impact (GDPR, HIPAA)

6. Defensive Design (Advanced)

6.1 Use Policy-based Authorization

ASP.NET Core:

  • Authorization policies
  • Claims-based roles
  • Resource-based authorization handlers

6.2 Enforce Access Control at Server-Side Only

Never trust:

  • Hidden HTML fields
  • Disabled buttons
  • Client-side JWT contents
  • Client role values

6.3 Dynamic Authorization

ACL checks based on:

  • Resource owner
  • Business logic
  • Environmental conditions (IP, device fingerprint)

6.4 Avoid Direct Object References

Use:

  • UUIDs
  • Hashed IDs
  • Server-mapped opaque tokens

6.5 Enforce Least Privilege

  • Role explosion is a red flag
  • Use fine-grained policies

7. How Attackers Test It

  • Changing IDs manually (?id=1 → 2 → 3)
  • Checking admin endpoints directly
  • Modifying JWT claims
  • Using Burp: Access Control Testing module
  • Disabling JS and accessing actions
  • Fuzzing API parameters

8. Tools

  • Burp Suite Access Control Testing
  • OWASP ZAP
  • Postman + Fuzzer
  • Authz Analyzer
  • ASP.NET Core Authorization Analyzer


šŸ”„ A02 — CRYPTOGRAPHIC FAILURES

Failures in encryption, hashing, key management, TLS, secrets storage.


1. What It Is

Occurs when sensitive data is:

  • Not encrypted
  • Encrypted with weak algorithms
  • Mishandled (keys in code, wrong IVs, same salts)

2. Examples

  • No HTTPS
  • Storing passwords in plaintext
  • Using MD5 / SHA1
  • Hardcoded encryption keys checked into Git
  • Using ECB mode
  • Weak JWT signing key
  • Missing ā€œsecureā€ & ā€œHttpOnlyā€ flags on cookies

3. Sensitive Data Types

  • Personal data (PII)
  • Financial data
  • Session tokens
  • Health records
  • Credentials

4. Root Causes

  • Developers ā€œrolling their own cryptoā€
  • Misconfigured TLS
  • Weak key rotation
  • Poor randomness sources
  • Using outdated libraries

5. Prevention (Advanced)

5.1 Never build your own cryptography

Use:

  • .NET Data Protection API
  • Microsoft Cryptography Libraries
  • AWS Secrets Manager / Azure Key Vault
  • libsodium

5.2 Enforce TLS everywhere

  • TLS 1.2/1.3 only
  • Disable weak ciphers and renegotiation

5.3 Strong Hashing

Use PBKDF2, bcrypt, scrypt, Argon2.

5.4 Proper Key Management

  • No keys in code
  • No keys in config files
  • Store keys in Vault
  • Rotate keys regularly

6. Testing Methods

  • SSL Labs test
  • Burp Suite passive scan
  • Checking TLS headers
  • Testing entropy of secrets
  • Checking for plaintext storage


šŸ”„ A03 — INJECTION

One of the oldest and most dangerous classes.

Includes:

  • SQL Injection
  • NoSQL Injection
  • Command Injection
  • OS Injection
  • LDAP Injection
  • XSS (folded under injection since 2021)

1. What It Is

Untrusted input is interpreted as code.


2. Examples

  • '; DROP TABLE users --
  • XSS: <script>alert('x')</script>
  • Command injection: ; rm -rf /
  • MongoDB injection: { $ne: null }

3. Causes

  • String concatenation
  • Unsafe deserialization
  • eval() usage
  • Raw SQL queries
  • Template injection

4. Prevention

4.1 Parameterized Queries

  • Entity Framework
  • Dapper
  • ADO.NET parameterized SQL

4.2 Output Encoding

  • HTML encode
  • JavaScript encode
  • URL encode

4.3 Content Security Policy (CSP)

4.4 Disable Dangerous APIs

  • eval()
  • reflection-based injection

5. Testing

  • Fuzz input
  • Automated scanners
  • SQLmap
  • NoSQLMap
  • Burp Intruder


šŸ”„ A04 — INSECURE DESIGN

Not a bug. A systemic failure.


1. What It Is

Design issues that no implementation patch can fix.


2. Examples

  • No rate limiting on login → brute force attacks
  • Architecture trusting client-side logic
  • Money transfer flow missing verification
  • No threat model
  • No secure workflow

3. Causes

  • No security requirements
  • No secure-by-design approach
  • Lack of architecture reviews

4. Prevention

  • Threat modeling (STRIDE, Attack Trees)
  • Use ASVS as design requirements
  • Defense in depth
  • Secure design reviews


šŸ”„ A05 — SECURITY MISCONFIGURATION


1. What It Is

Errors in deployment or environment configuration.


Examples

  • Debug mode enabled
  • Default credentials
  • Public S3 bucket
  • Missing security headers
  • Verbose error messages

Advanced Prevention

  • Infrastructure-as-Code (IaC)
  • CIS benchmarks
  • Zero-trust network configs
  • Use container image scanning
  • Disable unused features


šŸ”„ A06 — VULNERABLE & OUTDATED COMPONENTS


1. What It Is

Using:

  • Outdated frameworks
  • Libraries with CVEs
  • Unsupported operating systems

2. Prevention

  • Automated SCA tools (Snyk, Dependabot, Whitesource)
  • Patch management policy
  • Maintain SBOM (CycloneDX)


šŸ”„ A07 — IDENTIFICATION & AUTHENTICATION FAILURES


1. What It Is

Flaws in login, identity, session management.


Examples

  • No MFA
  • Weak password reset flows
  • Session IDs exposed
  • JWT signed with weak key
  • No brute-force protection

Advanced Prevention

  • Implement MFA
  • Secure password reset flows
  • Rotate session tokens
  • Disable predictable IDs
  • Short-lived JWTs + refresh tokens


šŸ”„ A08 — SOFTWARE & DATA INTEGRITY FAILURES


1. What It Is

Trusting:

  • Unverified updates
  • Untrusted data sources
  • Dependency tampering
  • Insecure deserialization

Protection

  • Signed updates
  • Signed packages
  • Hash verification
  • Disallow binary deserialization
  • Protect CI/CD pipelines


šŸ”„ A09 — LOGGING & MONITORING FAILURES


1. What It Is

Security events not logged or not alerted on.


Examples

  • No logs for failed logins
  • No alerts for access control violations
  • Logs not protected

Best Practices

  • Centralized logging (ELK / Splunk / SIEM)
  • Correlation IDs
  • Audit trails
  • Real-time alerting
  • Protect logs from tampering


šŸ”„ A10 — SERVER-SIDE REQUEST FORGERY (SSRF)


1. What It Is

App makes HTTP requests to arbitrary URLs based on user input.


Attack Impact

  • Read internal metadata endpoint
  • Pivot into internal networks
  • Access AWS/Azure instance metadata

Prevention

  • Allowlist outbound URLs
  • Disable internal metadata endpoints
  • Network segmentation
  • Avoid dynamic URLs controlled by users


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