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Handling Novel Technologies and Evidence Questions

Covers how a candidate responds when encountering unfamiliar hardware, software, devices, file systems, encryption schemes, or novel data structures and evidence types. Assess the candidate on troubleshooting fundamentals applied to unknown systems, rapid learning and research strategies, use of documentation and external resources, when and how to engage subject matter experts, and how they validate and document new techniques. Interviewers may probe for examples of unexpected findings, how the candidate iterated on investigative approaches, risk management under time pressure, and how they ensured forensic soundness and reproducibility when standard tools or processes did not apply.

MediumTechnical
40 practiced
Implement a Python function detect_entropy(stream) that computes an approximate Shannon entropy of a byte stream and classifies it as 'encrypted', 'compressed', or 'plaintext' based on empirically chosen thresholds. Explain how you would pick thresholds, validate accuracy, and handle mixed-content files.
EasyTechnical
40 practiced
Describe how you validate the integrity of collected evidence using hashes. Include concrete commands or tools for Linux/Windows, strategies for very large files, storing and cross-checking hash metadata, and considerations when choosing MD5, SHA-1, SHA-256 or newer algorithms.
MediumSystem Design
30 practiced
Design a modular ingestion pipeline for evidence that allows plug-in parsers for novel file formats. Specify core components (ingester, parser interface, sandbox executor, validator, metadata store), plugin API (inputs/outputs, error semantics), testing strategy (unit/integration/regression), versioning, and rollback approach for faulty parsers.
MediumTechnical
50 practiced
You're analyzing an extracted storage image from an IoT device and it appears encrypted with an unknown algorithm. Outline a practical investigative plan: identify crypto indicators (entropy, headers), search for keys in firmware and memory captures, attempt common cipher decoders, and define escalation criteria (hardware attacks, vendor contact).
MediumTechnical
38 practiced
Write a Python script (describe structure or pseudocode) that scans a directory tree recursively, detects files whose extension does not match their magic signature (use python-magic or a fallback), computes SHA-256 for each mismatched file by streaming in chunks, and outputs a CSV with: path, detected_type, extension, sha256. The script should handle symlinks and very large directories.

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