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Key Takeaways:
Software weaknesses are flaws in software design, code, or configuration that allow security problems to occur. These weaknesses describe common ways software fails, which is why the same types of security issues appear across different applications and systems.
Because these weaknesses repeat, attackers focus on exploiting the underlying patterns rather than individual bugs. Fixing a single vulnerability does not prevent future issues if the same weakness still exists elsewhere in the codebase.
To address this problem, MITRE documents and standardizes these recurring issues through the Common Weakness Enumeration. MITRE’s analysis shows that many real-world vulnerabilities originate from a relatively small set of well-known software weakness types.
The Common Weakness Enumeration (CWE) exists to standardize how software weaknesses are identified, named, and tracked across the industry. It provides a common reference so security tools, reports, and teams describe the same problem in the same way.
Before CWE, the same weakness could appear under different names in advisories, scanners, and internal documentation. This made it difficult to compare risks, measure trends, or understand whether different issues shared the same root cause.
CWE is maintained by MITRE as part of its work on improving software and system security. By mapping vulnerabilities back to standardized weakness types, MITRE enables organizations to prioritize systemic fixes instead of reacting to isolated findings.
The rankings are created using a data-driven process that reflects how software weaknesses appear and are exploited in real-world systems.

The Most Dangerous Software Weaknesses table explains how each weakness is ranked, categorized, and evaluated based on real-world risk and exploitation patterns.
The rank shows how dangerous each weakness is relative to others in the list. A higher rank reflects a combination of frequent occurrence and severe real-world impact.
The CWE ID links each weakness to its standardized definition in the Common Weakness Enumeration. This allows the same weakness to be referenced consistently across tools, reports, and security documentation.
The score represents a combined measure of how often the weakness appears and how damaging it tends to be when exploited. Higher scores indicate weakness types that repeatedly contribute to serious security incidents.
This column shows how many known exploited vulnerabilities are associated with each weakness. A higher number suggests active and ongoing exploitation in real-world attacks.
The category groups weaknesses by their underlying nature, such as injection, memory safety, or access control. This makes it easier to identify patterns and systemic problem areas across applications.
Typical impact summarizes the most common outcomes when the weakness is exploited. These impacts include data exposure, remote code execution, privilege escalation, or denial of service.
The most dangerous software weaknesses cluster into a small number of recurring failure types. These clusters explain where security controls most often break in real systems.
Injection flaws remain dominant because untrusted input continues to reach interpreters, databases, and command interfaces. Small validation or encoding errors are enough to enable full compromise.
Memory corruption issues appear frequently because manual memory management is still common in critical components. These weaknesses often lead directly to crashes or remote code execution.
Authorization and authentication failures scale across applications rather than affecting single features. One logic error can expose data or functionality for all users.
Most weaknesses in the list are long-standing and well understood. They persist because development practices do not consistently eliminate them at design time.
Organizations should use the Most Dangerous Software Weaknesses as a prioritization reference rather than a checklist. The list helps identify which underlying problems create the highest risk across products, teams, and environments.
The list highlights weakness types that consistently lead to severe outcomes. Organizations can use this to focus remediation efforts on issues that are most likely to cause real damage.
These weaknesses should be reviewed during architecture and design phases, not only after vulnerabilities are found. Addressing them early reduces the chance that high-risk patterns are built into systems.
Security standards and coding guidelines can be aligned with the weakness categories in the list. This ensures developers are consistently protecting against the most common failure modes.
Testing activities such as code reviews, threat modeling, and automated scanning can be mapped to these weakness types. This improves coverage and reduces time spent on low-impact findings.
Developers reduce exposure to the most dangerous software weaknesses by focusing on a small set of practices that address root causes, not individual bugs. The goal is to prevent high-risk patterns from entering the codebase in the first place.
All external input should be treated as untrusted and validated at clear trust boundaries. Consistent validation and encoding prevent many injection-related weaknesses from forming.
Access control decisions should be explicit, centralized, and enforced on every sensitive operation. Relying on assumptions about user roles or request flow is a common source of authorization failures.
Where possible, developers should prefer memory-safe languages or well-tested abstractions. In environments where manual memory management is required, strict bounds checking and defensive coding are essential.
Applications should start in a secure state without requiring manual hardening. Insecure default configurations often turn otherwise minor weaknesses into serious vulnerabilities.
Code reviews should actively look for weakness patterns, not just syntax or style issues. Reviewing changes with known high-risk weakness categories in mind improves detection before release.
The most dangerous software weaknesses are not rare or unknown problems, but recurring failures in design and implementation that attackers exploit consistently. Focusing on these weakness classes helps organizations reduce risk at its source instead of reacting to individual incidents.
By using standardized frameworks such as the Common Weakness Enumeration, teams can align development, testing, and security efforts around shared root causes. This approach leads to more resilient software and fewer high-impact security failures over time.
