Interview scorecard template

Malware Reverse Engineering Specialist interview scorecard

Evaluate Malware Reverse Engineering Specialist candidates across 4 weighted areas: technical depth, real incidents and findings, risk judgement, and getting things fixed. Technical depth leads at 35%, so probe static and dynamic analysis depth: disassembly, unpacking, anti-analysis evasion, and how the operating system internals actually behave. Use the rubric to compare role-specific evidence consistently.

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security compliancecybersecuritymalware analysisreverse engineeringthreat research
TL;DR
For technical depth, look for evidence the candidate reads disassembly fluently, defeats packing and anti-analysis, and explains the OS internals a sample abuses. For real incidents and findings, look for evidence the candidate names malware families they analysed and the detections or reports their work produced. Apply the written 1–5 anchors to every answer, record the evidence behind each rating, and use the factor weights to reach a consistent overall assessment.
Complete evaluation framework

What to assess and how to score it

Review the evidence signals before interviewing. Then use the anchored descriptions—not instinct alone—to choose the score that best matches each answer.

01
Evaluation factor

Technical depth

35% weight

Probe static and dynamic analysis depth: disassembly, unpacking, anti-analysis evasion, and how the operating system internals actually behave.

Evidence to listen for

  • Command of the specific attack surface, tooling, and controls the role covers
  • Understands how the underlying system works, not just how the tool reports on it
  • Can explain an attack or control chain end to end
  • Distinguishes what they found themselves from what a scanner flagged

Five-point scoring guide

1
Poor

Tool operator only; no understanding of the systems underneath.

2
Needs Improvement

Runs tooling but cannot explain findings or how the attack works.

3
Satisfactory

Solid working knowledge; depth thins outside familiar tooling.

4
Very Good

Strong command of the domain; explains attack and control chains clearly.

5
Excellent

Reads disassembly fluently, defeats packing and anti-analysis, and explains the OS internals a sample abuses.

02
Evaluation factor

Real incidents and findings

30% weight

Look for families they personally analysed, with the indicators and detection logic that came out of it.

Evidence to listen for

  • Brings specific incidents, findings, or audits they personally worked
  • States their own role rather than the team's
  • Describes what was actually at risk and what changed afterwards
  • Can talk about a finding that turned out to be wrong

Five-point scoring guide

1
Poor

No hands-on work; knowledge is entirely certification or coursework.

2
Needs Improvement

Limited exposure; cannot describe their contribution to an incident.

3
Satisfactory

Real casework with adequate detail; ownership sometimes vague.

4
Very Good

Specific incidents with clear personal scope and what changed after.

5
Excellent

Names malware families they analysed and the detections or reports their work produced.

03
Evaluation factor

Risk judgement

20% weight

Test how they judge what a sample can actually do against what it theoretically could, before an org panics.

Evidence to listen for

  • Prioritises by actual exploitability and business impact, not raw severity scores
  • Can argue for accepting a risk as well as fixing it
  • Knows the difference between a finding and a problem
  • Does not cry wolf or wave things through

Five-point scoring guide

1
Poor

Treats every finding as critical, or waves real risk through.

2
Needs Improvement

Follows severity scores mechanically; no business context.

3
Satisfactory

Reasonable prioritisation; less confident arguing for risk acceptance.

4
Very Good

Prioritises by exploitability and impact; can justify accepting a risk.

5
Excellent

Assesses real capability and blast radius accurately, and can name an early call they later corrected.

04
Evaluation factor

Getting things fixed

15% weight

Assess how they turn an analysis into something the SOC or engineering can act on within the hour.

Evidence to listen for

  • Writes findings engineers can act on rather than a wall of output
  • Has persuaded a team to fix something they did not want to fix
  • Explains risk to executives in business terms
  • Works with the org rather than policing it

Five-point scoring guide

1
Poor

Adversarial with engineering; findings never get fixed.

2
Needs Improvement

Reports are unactionable; no influence beyond raising tickets.

3
Satisfactory

Adequate reporting; relies on mandate rather than persuasion.

4
Very Good

Actionable findings and a real record of getting fixes shipped.

5
Excellent

Turns analysis into actionable detections and briefings that responders can use immediately.

Evidence-led prompts

Interview questions for a Malware Reverse Engineering Specialist

Use these prompts to surface evidence for the weighted factors above and compare candidates against the same role-specific criteria.

  1. 01

    What are the key differences between static and dynamic analysis, and when do you choose one over the other?

  2. 02

    How do you determine whether a malware sample is packed, and what do you do to unpack it?

  3. 03

    How do you handle encrypted or heavily obfuscated malware during analysis?

  4. 04

    What is your experience with kernel-mode malware, and what techniques do you use to reverse-engineer it?

  5. 05

    What experience do you have with network traffic analysis when identifying malware command and control?

See the complete Malware Reverse Engineering Specialist question set
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