CWE-1039
Inadequate Detection or Handling of Adversarial Input Perturbations in Automated Recognition Mechanism
ClassIncomplete
Description
The product uses an automated mechanism such as machine learning to recognize complex data inputs (e.g. image or audio) as a particular concept or category, but it does not properly detect or handle inputs that have been modified or constructed in a way that causes the mechanism to detect a different, incorrect concept.
Hierarchy (View 1000)
CVEs mapped to this weakness (1)
| CVE | Sev | Risk | CVSS | EPSS | KEV | Published | Description |
|---|---|---|---|---|---|---|---|
| CVE-2025-3578 | Cri | 0.60 | — | 0.00 | Apr 15, 2025 | A malicious, authenticated user in Aidex, versions prior to 1.7, could list credentials of other users, create or modify existing users in the application, list credentials of users in production or development environments. In addition, it would be possible to cause bugs that would result in the exfiltration of sensitive information, such as details about the software or internal system paths. These actions could be carried out through the misuse of LLM Prompt (chatbot) technology, via the /api/<string-chat>/message endpoint, by manipulating the contents of the ‘content’ parameter. |