Poor validation of embedding formats or dimensions can cause service crashes or logic errors. This can result in denial of service or incorrect similarity results.
Database / Vector / Threats / DEV
Embedding Format or Dimension Attacks
CCC.Vector.TH05
Related Capabilities
| ID | Title | Description |
|---|---|---|
| CCC.Vector.CP08 | Embedding Format Compatibility | Supports standard vector formats and integrates with common embedding generators (e.g., OpenAI, HuggingFace, TensorFlow). |
| CCC.Vector.CP09 | Vector Dimension Management | Supports storing and managing vectors of specific or dynamic dimensionality, depending on model needs. |
Related Controls
| ID | Title | Description |
|---|---|---|
| CCC.Vector.CN01 | Validate Embeddings Before Indexing | Ensure all incoming embeddings are structurally and statistically validated before indexing to prevent poisoning or corruption. |
| CCC.Vector.CN06 | Enforce Dimensional and Format Constraints | Reject embeddings that do not conform to expected model specifications (dimensions, format, etc). |