CWE-1049: Excessive Data Query Operations in a Large Data Table
Learn about CWE-1049 (Excessive Data Query Operations in a Large Data Table), its security impact, exploitation methods, and prevention guidelines.
What is Excessive Data Query Operations in a Large Data Table?
• Overview: Excessive Data Query Operations in a Large Data Table (CWE-1049) occurs when a software product performs complex queries with numerous joins and sub-queries on a large dataset, leading to potential performance issues and vulnerabilities.
• Exploitation Methods:
- Attackers can exploit this vulnerability by crafting queries that intentionally slow down the system, potentially leading to denial of service.
- Common attack patterns include sending numerous complex queries or requests that trigger heavy database operations, consuming excessive resources.
• Security Impact:
- Direct consequences of successful exploitation include system slowdowns and resource exhaustion.
- Potential cascading effects may involve system crashes, increased latency, and reduced availability of services.
- Business impact can include degraded user experience, loss of customer trust, and financial loss due to downtime.
• Prevention Guidelines:
- Specific code-level fixes include optimizing queries by reducing the number of joins and sub-queries, and using appropriate indexing.
- Security best practices involve limiting user input that can affect query complexity and implementing query timeouts.
- Recommended tools and frameworks include using database profiling tools to identify slow queries and ORM frameworks that optimize database interactions.
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Technical Details
Likelihood of Exploit: Not specified
Affected Languages: Not specified
Affected Technologies: Not specified