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CWE Reference

CWE-407: Inefficient Algorithmic Complexity

Official CWE-407 CWE context with Glexia analysis, remediation guidance, related CVEs, and ATT&CK context.

Release 4.20weaknessIncomplete

Glexia's Take

CWE-407: Quadratic Complexity

Inefficient Algorithmic Complexity represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.

Executive Impact

  • Availability: DoS: Resource Consumption (CPU),DoS: Resource Consumption (Memory),DoS: Resource Consumption (Other): The typical consequence is CPU consumption, but memory consumption and consumption of other resources can also occur.

Developer Pattern

CWE-407 is the kind of defect developers can usually prevent with explicit validation, safer framework defaults, and tests that exercise hostile input or unsafe state transitions.

Confidence

high confidence from CWE-407, 4.20.

Official CWE Definition

CWE-407: Inefficient Algorithmic Complexity

An algorithm in a product has an inefficient worst-case computational complexity that may be detrimental to system performance and can be triggered by an attacker, typically using crafted manipulations that ensure that the worst case is being reached.

Type
weakness
Abstraction
Class
Status
Incomplete
Source
MITRE CWE definition

Developer And Remediation Guidance

How teams prevent and detect this weakness

Causes

  • This example attempts to check if an input string is a "sentence" [REF-1164]. [object Object],Note that [REF-1164] has a more thorough (and lengthy) explanation of everything going on within the RegEx.

Remediation

  • Use safe APIs
  • Centralize the control
  • Add regression tests
  • Review logs and telemetry for attempted abuse

Detection

  • Code review
  • SAST
  • DAST
  • Focused regression tests

Mappings

Related CVEs, CWEs, and ATT&CK context

Related CWEs

Related CVEs

Related CVE mappings appear after CVE records are cross-indexed.

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ATT&CK Relevance

ATT&CK relevance is shown only when reviewed or responsibly inferred.