CWE-1043: Data Element Aggregating an Excessively Large… | Glexia
CWE-1043 (Data Element Aggregating an Excessively Large Number of Non-Primitive Elements) weakness overview with consequences, detection methods, mitigations,…
Glexia's Take · Automated analysis
CWE-1043: Data Element Aggregating an Excessively Large Number of Non-Primitive Elements
Data Element Aggregating an Excessively Large Number of Non-Primitive Elements represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.
Executive Impact
- Other: Reduce Performance: This issue can make the product perform more slowly. If the relevant code is reachable by an attacker, then this performance problem might introduce a vulnerability.
Developer Pattern
CWE-1043 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.
Automation confidence
high confidence from CWE-1043, 4.20.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Official CWE Definition
CWE-1043: Data Element Aggregating an Excessively Large Number of Non-Primitive Elements
The product uses a data element that has an excessively large number of sub-elements with non-primitive data types such as structures or aggregated objects.
While the interpretation of "excessively large" may vary for each product or developer, CISQ recommends a default of 5 sub-elements.
Developer And Remediation Guidance
How teams prevent and detect this weakness
Causes
- Missing validation
- Unsafe defaults
- Insufficient authorization or memory-safety invariant
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
ATT&CK Relevance
ATT&CK relevance is shown only when reviewed or responsibly inferred.