{"data":{"id":"73775002-ec07-46b5-a38c-369f56a9d9ed","title":"SAGA: Synthetic Audit Log Generation for APT Campaigns","summary":"SAGA is a tool that creates synthetic audit logs (detailed records of system activities) containing hidden Advanced Persistent Threats (APTs, which are long-term targeted cyberattacks) to help train and test detection systems. The tool mixes normal system activity logs with malicious activity based on known attack patterns from the MITRE ATT&CK framework (a database of real-world attack techniques), and researchers showed that machine learning models trained on these synthetic logs can identify new, previously unseen attack techniques.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"http://ieeexplore.ieee.org/document/11281529","publishedAt":"2025-12-05T13:17:30.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2025-12-05T13:17:30.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.75,"researchCategory":"peer_reviewed","atlasIds":null}}