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.
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). |