| Automated Static Analysis | This weakness can often be detected using automated static analysis tools. Many modern tools use data flow analysis or constraint-based techniques to minimize the number of false positives.
Automated static analysis generally does not account for environmental considerations when reporting out-of-bounds memory operations. This can make it difficult for users to determine which warnings should be investigated first. For example, an analysis tool might report buffer overflows that originate from command line arguments in a program that is not expected to run with setuid or other special privileges.Detection techniques for buffer-related errors are more mature than for most other weakness types. | High |
| Automated Dynamic Analysis | This weakness can be detected using dynamic tools and techniques that interact with the software using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The software's operation may slow down, but it should not become unstable, crash, or generate incorrect results. | — |
| Automated Dynamic Analysis | Use tools that are integrated during compilation to insert runtime error-checking mechanisms related to memory safety errors, such as AddressSanitizer (ASan) for C/C++ [REF-1518].Crafted inputs are necessary to reach the code containing the error, such as generated by fuzzers. Also, these tools may reduce performance, and they only report the error condition - not the original mistake that led to the error. | Moderate |
| Automated Static Analysis - Binary or Bytecode | According to SOAR [REF-1479], the following detection techniques may be useful:
```
Cost effective for partial coverage:
```
Binary / Bytecode Quality Analysis
Bytecode Weakness Analysis - including disassembler + source code weakness analysis
Binary Weakness Analysis - including disassembler + source code weakness analysis | SOAR Partial |
| Manual Static Analysis - Binary or Bytecode | According to SOAR [REF-1479], the following detection techniques may be useful:
```
Cost effective for partial coverage:
```
Binary / Bytecode disassembler - then use manual analysis for vulnerabilities & anomalies | SOAR Partial |
| Dynamic Analysis with Automated Results Interpretation | According to SOAR [REF-1479], the following detection techniques may be useful:
```
Cost effective for partial coverage:
```
Web Application Scanner
Web Services Scanner
Database Scanners | SOAR Partial |
| Dynamic Analysis with Manual Results Interpretation | According to SOAR [REF-1479], the following detection techniques may be useful:
```
Cost effective for partial coverage:
```
Fuzz Tester
Framework-based Fuzzer | SOAR Partial |
| Manual Static Analysis - Source Code | According to SOAR [REF-1479], the following detection techniques may be useful:
```
Cost effective for partial coverage:
```
Focused Manual Spotcheck - Focused manual analysis of source
Manual Source Code Review (not inspections) | SOAR Partial |
| Automated Static Analysis - Source Code | According to SOAR [REF-1479], the following detection techniques may be useful:
```
Highly cost effective:
```
Source code Weakness Analyzer
Context-configured Source Code Weakness Analyzer
```
Cost effective for partial coverage:
```
Source Code Quality Analyzer | High |
| Architecture or Design Review | According to SOAR [REF-1479], the following detection techniques may be useful:
```
Highly cost effective:
```
Formal Methods / Correct-By-Construction
```
Cost effective for partial coverage:
```
Inspection (IEEE 1028 standard) (can apply to requirements, design, source code, etc.) | High |