re-ioc-extraction

To extract defensive IOCs from logs and strings, you process raw analyst evidence like sandbox outputs and decompiled notes. This generates a normalized Markdown IOC table and a structured YAML list containing only evidence-derived indicators.

Normalizing extracted indicators for incident reporting involves structuring raw evidence into verifiable formats. This process transforms unstructured strings, network logs, and reverse-engineering notes into standardized Markdown tables and YAML IOC lists.

Yes, you can generate endpoint IOCs from sandbox logs without external enrichment. The extraction operates strictly on the provided evidence, enforcing an evidence-driven approach that clearly indicates data gaps instead of adding external context.

Using an evidence-driven approach, you can extract IOCs from strings output, sandbox logs, network logs, decompiled notes, and known file hashes. This covers defensive indicators like domains, IPs, URLs, mutexes, and registry paths.

IOC extraction outputs show data gaps because the process enforces strict evidence-only extraction without enrichment. When the provided logs or notes are incomplete, it clearly indicates missing data rather than guessing or populating fields with external information.

Yes, IOC extraction supports generating structured YAML lists for detection rules. Alongside a Markdown IOC table, the process outputs a structured YAML IOC list designed to feed directly into detection rules, hunting queries, and incident reports.