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A practical, hands on guide that walks SOC analysts, incident responders, and aspiring reverse engineers from a suspicious file to a defensible detection, covering static, dynamic, code, and memory analysis, unpacking, YARA, and real world reporting.
Minimum price
$19.00
$29.00
About the Book
Every SOC analyst, incident responder, and threat intelligence professional eventually faces the same question: what does this sample actually do? Malware Analysis: From Sample to Signature is a practical, hands on guide that takes you from a suspicious file to a defensible detection, without assuming you've ever opened a debugger or read a line of assembly.
The book starts with the fundamentals: how to categorize malware, how to think in terms of the four tiers of analysis, and how to build a real analysis lab with REMnux and FLARE VM. From there it moves from the outside of a binary in, covering static triage, controlled detonation and behavioral analysis, Windows specific attacker techniques, malicious documents and scripts, network traffic and C2 analysis, code analysis with disassemblers, unpacking and anti analysis evasion, and memory forensics with Volatility 3.
The final chapters turn your findings into operational value: writing production quality YARA rules, mapping behavior to MITRE ATT&CK, building Sigma, KQL, and Snort detections, and producing reports your whole team can act on. A full worked example, tracing a phishing attachment all the way to a shipped YARA rule, ties every technique in the book together into a single repeatable workflow.
Written for SOC analysts, incident responders, threat intel analysts, and aspiring reverse engineers, this book asks only that you're comfortable on a command line and willing to read code carefully. By the end, you'll have built a lab, detonated and unpacked a real sample, written working detection content, and produced an analyst grade report from scratch.
About the Author
The founder of SouthStone Publications draws on more than twenty years in IT and cybersecurity, bringing that depth of experience into everything he writes. At heart, he's a technologist through and through: part enthusiast, part researcher, part engineer, part technical leader, having grown up alongside the internet itself and evolved right along with it.
His career sits at the crossroads of system design and cybersecurity, approached from both the offensive and defensive sides of the discipline. Over the years, he has built a reputation for turning complex, often intangible technical knowledge into practical guidance that professionals can actually put to work.
He currently serves on the leaderships in engineering and cybersecurity team at a leading IT services company in its industry, where he relentless studies emerging AI technologies and also cyber threats while helping organizations navigate the risks already at their doorstep. His expertise spans an unusually wide range of disciplines, consists of security engineering and development, project management, application security, infrastructure security, vulnerability management, reverse engineering, penetration testing, security architecture, incident response, and threat hunting and intelligence. He is equally at home diagnosing a flawed system architecture from the ground up, dissecting a sophisticated piece of malware, or leading red team operations against live threats - moving fluidly between granular technical detail and big-picture strategy in a way that few in the field can match.
Besides his astounding professional career experiences, he has partners with subject matter experts with backgrounds in technical writing, focused on AI, IT and security education, producing technical books and training programs that have helped countless developers, analysts, and practitioners build more resilient systems. That same dedication to clarity, rigor, and real-world relevance defines his work with Safe Ink Publications, where deep technical expertise meets a mission to make security knowledge accessible, actionable, and built to be sustainable, lasting and progressive.
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