Actionable analytics designed to combat threats
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Updated
May 25, 2022 - Python
Actionable analytics designed to combat threats
Identifies real file types via binary signatures (Magic Numbers) to uncover hidden extensions, detect masqueraded malware, and mitigate phishing vectors.
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Developed a log analysis system to detect security incidents, reconstruct attack timelines, and identify malicious activity using Linux and Windows logs, demonstrating blue-team threat detection and incident response skills.
Tools to support DFIR investigations
This package implements multiples libraries and tools to parse, analyze and extract informations from disk on the live system.
Enterprise Cloud-Native Adapter specialized in SAP BTP (Kyma/Kubernetes) and Azure monitoring. Integrates SOC/NOC Operations, RPO/RTO optimization, and Business Continuity frameworks for resilient hybrid cloud architectures.
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