Understanding Malware Analysis¶
Malware analysis examines suspicious files or code to identify observable properties, likely capabilities, indicators, and behaviour while controlling risk.
What you will learn
By the end, you should be able to distinguish static and dynamic analysis, establish a safe handling boundary, and avoid unsupported attribution.
What is malware analysis?¶
Core concept
Static analysis examines a sample without intentionally executing it. Dynamic analysis observes behaviour in a controlled environment. Analysts often begin with hashes, type, structure, strings, imports, signatures, and rule matches before deciding whether execution is necessary.
Keep in mind: A detection name, packer, string, or rule match is a lead. It does not automatically prove malicious intent, family, actor, or campaign.
Analysis approaches¶
Why it matters¶
Triage safely¶
Static techniques can prioritise files without intentionally executing them.
Identify capabilities¶
Imports, strings, rules, and code can indicate likely functions.
Improve detection¶
Validated observables and behaviours can support searches and detection logic.
Guide response¶
Observed persistence, communications, and affected artefacts help scope investigation.
How malware analysis works¶
- IsolateUse authorised, disposable analysis systems with controlled networking and no sensitive credentials.
- PreserveHash, label, and retain the original sample in controlled storage.
- TriageConfirm file type and inspect signatures, structure, strings, imports, and rule results.
- Deepen carefullyUse capability analysis, unpacking, memory inspection, or controlled execution when justified.
- ReportSeparate observed facts, likely capabilities, behaviour, indicators, and confidence.
Choose the next step¶
Escalate analysis deliberately
- 1PreserveHash and control the original sample.
- 2TriageStart with non-execution observations.
- 3DeepenUse more intrusive methods only when justified.
- 4QualifySeparate indicators, behaviour, and attribution.
Use a disposable lab and confirm organisational policy before sending any sample or evidence-derived data to an external service.