3 vulnerabilities classified as CWE-1426. AI Chinese analysis included.
CWE-1426 represents a critical validation weakness where applications fail to adequately verify outputs from generative AI components. Since these models produce unpredictable results, developers often assume the generated content is safe without rigorous checks. Attackers typically exploit this by crafting malicious prompts that trigger the AI to generate harmful code, sensitive data leaks, or policy-violating text. If the application blindly executes or displays this unverified output, it can lead to severe security breaches, including injection attacks or privacy violations. To mitigate this risk, developers must implement robust post-processing validation layers. These include using dedicated safety filters, enforcing strict output schemas, and applying human-in-the-loop reviews for high-stakes decisions. By treating generative AI outputs as inherently untrusted, organizations can prevent malicious content from reaching end-users or affecting downstream systems.
| CVE ID | Title | CVSS | Severity | Published |
|---|---|---|---|---|
| CVE-2025-55074 | Channel member objects leak read status — Mattermost | 3.0 | Low | 2025-11-18 |
| CVE-2025-62453 | GitHub Copilot and Visual Studio Code Security Feature Bypass Vulnerability — Visual Studio Code | 5.0 | Medium | 2025-11-11 |
| CVE-2025-31363 | Data exfiltration via AI plugin Jira tool — Mattermost | 3.0 | Low | 2025-04-16 |
Vulnerabilities classified as CWE-1426 represent 3 CVEs. The CWE taxonomy describes the weakness; review individual CVEs for product-specific impact.