Inefficient CPU Computation

Incomplete Class
Structure: Simple
Description

This weakness occurs when software uses inefficient algorithms or suboptimal CPU operations, performing unnecessary or overly complex calculations that waste processing power and slow down performance.

Extended Description

Inefficient CPU computation directly impacts user experience by causing sluggish response times, high resource consumption, and reduced battery life on mobile devices. Developers should profile their code to identify bottlenecks, replace inefficient algorithms (like naive nested loops) with optimized alternatives, and leverage built-in hardware capabilities for common tasks. While often a performance issue, this can become a security vulnerability if an attacker can manipulate inputs to trigger worst-case algorithmic complexity, leading to resource exhaustion (e.g., a denial-of-service attack). To mitigate this, validate and sanitize inputs that affect computational loops, implement complexity limits for operations, and choose data structures and algorithms with predictable, efficient performance characteristics for your expected data volumes.

Common Consequences 2
Scope: Availability

Impact: DoS: Resource Consumption (CPU)

Scope: Other

Impact: Reduce Performance

Observed Examples 1
CVE-2022-37734Chain: lexer in Java-based GraphQL server does not enforce maximum of tokens early enough (Incorrect Behavior Order), allowing excessive CPU consumption (Inefficient CPU Computation)
References 1
Computational complexity theory)
Wikipedia
ID: REF-1008
Modes of Introduction
Architecture and Design
Implementation