Interview scorecard template

Application Security Specialist interview scorecard

Evaluate Application Security Specialist candidates across 4 weighted areas: technical depth, real incidents and findings, risk judgement, and getting things fixed. Technical depth leads at 35%, so check depth in OWASP Top 10 exploitation and remediation: SSRF, deserialization, IDOR, plus hands-on use of Burp Suite, Semgrep, CodeQL and SCA tooling across. Use the rubric to compare role-specific evidence consistently.

See AI scoring
security complianceappsecsast dastsecure sdlcthreat modeling
TL;DR
For technical depth, look for evidence the candidate explains an exploit chain end to end at code level, names the exact fix and the tool that caught or missed it. For real incidents and findings, look for evidence the candidate recounts specific vulnerabilities they found, CVSS scores, affected services, and the timeline from discovery to verified patch. 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

Check depth in OWASP Top 10 exploitation and remediation: SSRF, deserialization, IDOR, plus hands-on use of Burp Suite, Semgrep, CodeQL and SCA tooling across Java, Python or Node codebases.

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

Explains an exploit chain end to end at code level, names the exact fix and the tool that caught or missed it.

02
Evaluation factor

Real incidents and findings

30% weight

Probe real findings they discovered: authenticated pen tests, code reviews before release, CVEs or bug bounty submissions, and how a critical vulnerability reached production and was contained.

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

Recounts specific vulnerabilities they found, CVSS scores, affected services, and the timeline from discovery to verified patch.

03
Evaluation factor

Risk judgement

20% weight

Assess how they triage a 400-finding SAST report: false positive rates, exploitability versus severity, compensating controls, and when they let a medium ship with an accepted risk sign-off.

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

Ranks findings by real exploitability and business impact, not raw scanner severity, and defends deliberate risk acceptances.

04
Evaluation factor

Getting things fixed

15% weight

Look for evidence they moved developers: threat modeling sessions, secure coding guidelines, CI gates in GitHub Actions or Jenkins, and measured reductions in mean time to remediate.

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

Names remediation SLAs met, pipeline gates they shipped, and how they won engineering teams over rather than blocking releases.

Evidence-led prompts

Interview questions for a Application Security Specialist

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

  1. 01

    Can you provide examples of applications you have secured?

  2. 02

    What is the largest security issue you have handled?

  3. 03

    Can you describe a time when you identified a security risk during development?

  4. 04

    Can you describe your experience performing vulnerability assessments and testing?

  5. 05

    How proficient are you at code review and debugging?

See the complete Application Security Specialist question set
Put this rubric to work

Score every candidate against the same standard

Add these weighted factors to Hirevire and let AI evaluate recorded answers against your rubric.

Explore AI Scorecards