The paper introduces a classifier trained on expert MITRE ATT&CK mappings to improve CVE-to-technique linkage, achieving ~2x recall@5 over zero-shot methods by avoiding error-prone CWE/CAPEC-derived chains. It establishes a gold-standard dataset of 1,207 CVEs for reproducibility. The approach emphasizes reducing table