Timing Attacks Scanner
Identifies timing-based information disclosure vulnerabilities.
What is Timing Attacks?
Timing Attacks exploit measurable differences in response times to extract sensitive information. Applications may take longer to process valid usernames vs. invalid ones, correct password prefixes vs. wrong ones, or existing data vs. missing data. By measuring these differences, attackers can infer protected information.
Why is This Important?
Timing attacks enable user enumeration, token brute-forcing, and data extraction without triggering error conditions. They bypass security through measurement rather than direct access. Even millisecond differences can be exploited with statistical analysis over many requests.
How It Works
1. Attack Surface Mapping
Identifies complex attack vectors including race conditions, desync points, and logic flaws in your application.
2. Advanced Exploitation
Executes sophisticated attack techniques that bypass traditional security controls and detection mechanisms.
3. Impact Assessment
Demonstrates real-world impact with detailed exploitation chains and business risk analysis.
Key Capabilities
Expert-level security testing for sophisticated vulnerabilities that evade traditional scanning tools.
- Race condition and timing attack detection
- Request smuggling and desync analysis
- Business logic flaw identification
- Chained exploit development
- Protocol-level vulnerability testing
Frequently Asked Questions
What causes exploitable timing differences?
Common causes: early returns for invalid input (no DB query = faster), string comparison stopping at first mismatch, database queries only for valid records, conditional password hashing, cache hits vs. misses, and any operation that short-circuits on security checks.
What can timing attacks reveal?
Timing reveals: valid usernames (enumeration), correct characters in tokens/passwords (incremental extraction), existence of database records, file existence, valid API keys, and internal system behavior that helps refine other attacks.
How do attackers measure timing accurately?
Techniques: statistical analysis over hundreds/thousands of requests, network jitter elimination, multiple timing measurements, TCP/IP level timing, server-side timing via exposed headers, and concurrent requests to establish baseline variability.
How do I prevent timing attacks?
Prevention: use constant-time comparison for secrets, always perform full authentication flow (even for invalid users), add artificial delays to normalize timing, avoid early returns based on security checks, and test with timing analysis tools to verify consistency.
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