GraphQL Batching Attacks Scanner
Tests GraphQL batching for brute force and DoS attacks.
What is GraphQL Batching Attacks?
GraphQL Batching Attacks exploit the ability to send multiple operations in a single request. Attackers can batch thousands of authentication attempts, abuse queries to cause resource exhaustion, or bypass rate limiting that counts HTTP requests rather than GraphQL operations.
Why is This Important?
A single HTTP request containing 10,000 batched login mutations can brute force credentials while appearing as one request. Rate limiters counting requests miss this entirely. Even with per-operation limits, batching can amplify attacks and cause denial of service through resource consumption.
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
How does GraphQL batching enable attacks?
GraphQL accepts arrays of queries: [{query1}, {query2}, ...]. Attackers send [{login(user:'admin',pass:'a')}, {login(user:'admin',pass:'b')}, ...] with thousands of password attempts. If the server processes all before responding, rate limits based on HTTP requests are bypassed.
What types of attacks use batching?
Attack types: credential brute forcing, OTP/2FA code guessing, user enumeration (batch many usernames), DoS through expensive query batching, data exfiltration (batch many queries), and bypassing per-request rate limits or WAF rules.
How do I detect batching attacks?
Detection: monitor operation count per request, alert on high batch sizes, implement per-operation logging, watch for repeated similar operations in batches, and correlate batch requests with authentication failures or high resource consumption.
How do I prevent GraphQL batching abuse?
Prevention: limit batch size (reject arrays over N operations), implement per-operation rate limiting (not just per-request), add query complexity analysis across the batch, require separate requests for authentication operations, and consider disabling batching for sensitive operations entirely.
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