ML Threat Predictor

ORACLE Markov-chain probabilistic threat pathfinding — predicts adversary lateral pivot vectors before execution | Shadow313 NEXUS

Prediction Engine Status ORACLE v2.1

94.2%

Prediction Accuracy

1,247

Paths Modeled

8.3min

Avg Lead Time

Top Predicted Next Moves Live Predictions

T1003.001 LSASS Memory Dump — 87% probability

Following T1078 Valid Accounts + T1059.001 PowerShell execution pattern. Predicted window: next 12 minutes. Recommended pre-deployment: CredentialDumpingDetector (FIX-14).

T1021.002 SMB Lateral Movement — 73% probability

Following credential dump pattern. Target: DC-PRIMARY (10.0.20.2). Recommended pre-deployment: ImpossibleTravelDetector (FIX-17).

T1486 Data Encrypted for Impact — 61% probability

BlackCat/ALPHV ransomware signature detected in behavioral baseline. Predicted window: T+45min. Recommended: CHRONOS snapshot now.

Markov Chain Model ATT&CK v14

Initial Access → Execution: 0.82 Execution → Persistence: 0.71 Persistence → Privilege Escalation: 0.68 Priv Esc → Credential Access: 0.79 Cred Access → Lateral Movement: 0.85 Lateral Movement → Collection: 0.63 Collection → Exfiltration: 0.77

Transition probabilities trained on 10,000+ real-world APT campaigns. Updated weekly from threat intelligence feeds.