Training dataset without integrity record
ID |
training-dataset-without-integrity-record |
Severity |
high (catalogue Medium; platform severity model has no 'medium') |
Remediation Complexity |
trivial |
Remediation Risk |
low |
Remediation Effort |
low |
OWASP LLM |
LLM04:2025 — Data and Model Poisoning |
OWASP ASI |
ASI06:2026 (secondary ASI04:2026) |
Family |
LLM04 — Data and Model Poisoning |
Red-team vectors |
RAG Poisoning |
Tags |
ai_security |
Description
A dataset used for training / fine-tuning has no integrity record — no checksum, content hash, version, or revision pin. Without one, a poisoned dataset swapped in upstream is undetectable: the model trains on tampered data with no signal. The training-purpose leg is required; an evaluation dataset without integrity is out of scope, and any integrity signal in the file clears the finding.