\n```\n- Why it matters for pen testers: High impact — persistent infection of many users and possible session theft.\n- Mitigation: Server-side output encoding (HTML-encode), use Content Security Policy (CSP), validate input, and use frameworks that auto-escape templates.\n\n**Reflected XSS**\n- Description: Script comes from request (URL, form) and is immediately reflected in response.\n- Common scenario: Search page that includes the query parameter in the HTML without encoding.\n- Example payload (in URL):\n```text\nhttps://example.com/search?q=\n```\n- Mitigation: Encode user-controlled data before inserting into HTML/attributes, use HTTPOnly cookies, validate input lengths/types.\n\n**DOM-based XSS**\n- Description: Client-side JS reads attacker-controlled data (location.hash, document.write) and injects into DOM unsafely.\n- Common scenario: Single-page app that does document.write(location.hash) or sets innerHTML from URL fragment.\n- Example payload (using fragment):\n```text\nhttps://example.com/app#\n```\n- Mitigation: Avoid insecure DOM sinks (innerHTML, document.write); use safe APIs (textContent, setAttribute), sanitize with a robust client-side library, enforce CSP.\n\nAs a penetration tester I demonstrate these payloads non-destructively, report reproducible steps, impact, and prioritized remediations."}},{"@type":"Question","name":"Write a Python script (requests module allowed) that queries crt.sh for a given domain and extracts unique subdomains from certificate common names and SAN fields. The script should avoid duplicates, handle JSON output, and print the sorted subdomain list. Do not perform DNS resolution in this task; focus only on fetching and parsing CT results.","acceptedAnswer":{"@type":"Answer","text":"**Approach (brief)**\n\nI would query crt.sh's JSON endpoint, parse each entry's common_name and name_value fields, extract hostnames (splitting SANs on commas/newlines), normalize (lowercase, strip wildcards), deduplicate using a set, sort and print. No DNS resolution.\n\n**Sample script**\n\n```python\n#!/usr/bin/env python3\nimport requests\nimport sys\n\ndef fetch_crtsh(domain):\n url = f\"https://crt.sh/?q=%.{domain}&output=json\"\n r = requests.get(url, timeout=20)\n r.raise_for_status()\n return r.json()\n\ndef normalize(name):\n name = name.strip().lower()\n # remove leading wildcard\n if name.startswith(\"*.\"):\n name = name[2:]\n return name\n\ndef extract_subdomains(records):\n subs = set()\n for rec in records:\n # common name (may be None)\n cn = rec.get(\"common_name\") or rec.get(\"name_value\")\n if cn:\n for part in str(cn).splitlines():\n for item in part.split(\",\"):\n item = normalize(item)\n if item and item != \"\":\n subs.add(item)\n # name_value often contains SANs; also handle explicitly\n nv = rec.get(\"name_value\")\n if nv:\n for part in str(nv).splitlines():\n for item in part.split(\",\"):\n item = normalize(item)\n if item:\n subs.add(item)\n return sorted(subs)\n\nif __name__ == \"__main__\":\n if len(sys.argv) != 2:\n print(\"Usage: crt_subs.py example.com\")\n sys.exit(1)\n domain = sys.argv[1].lstrip(\"*.\")\n try:\n records = fetch_crtsh(domain)\n except Exception as e:\n print(\"Error fetching crt.sh:\", e)\n sys.exit(1)\n subs = extract_subdomains(records)\n for s in subs:\n print(s)\n```\n\n**Notes, edge cases & complexity**\n- Handles CN and SAN via name_value; splits on commas/newlines, strips wildcards.\n- Uses set for O(1) deduplication; overall time O(n * m) where n=records, m=average names per record.\n- crt.sh may return duplicate entries or rate-limit; consider caching/backoff in real engagements."}},{"@type":"Question","name":"Multiple tools reported similar issues across different components. Describe a practical process to correlate results from SAST, DAST, SCA, and manual testing to identify unique root causes, remove duplicates, and produce consolidated remediation tickets developers can action.","acceptedAnswer":{"@type":"Answer","text":"**Approach overview**\nI use a pipeline that normalizes findings, correlates by artifact/trace, deduplicates with confidence scoring, and outputs actionable tickets with repro steps and risk. This reduces noise and speeds developer remediation.\n\n**Steps**\n1. Normalize inputs\n - Convert SAST/DAST/SCA/manual reports into a common schema: asset (URL/path), file/line or request/response, CWE, severity, scanner signature, timestamp, proof-of-concept.\n2. Aggregate and group by technical fingerprint\n - Fingerprints: exact file+line, normalized endpoint+parameter, identical request/response hashes, or same vulnerable library+version+call-stack for SCA.\n3. Correlate across tools\n - Match groups by shared fingerprint, matching CWE or identical POC (e.g., SQLi payload seen in DAST and taint flow in SAST).\n - Use heuristics: time window, identical input vector, same stack trace.\n4. De-duplicate and score\n - If two findings map to same fingerprint → single consolidated finding.\n - Assign confidence score combining tool reliability and presence of POC (manual verification increases score).\n5. Manual verification\n - Pen-test validation on high-impact/low-confidence items to confirm exploitability and capture exact repro.\n6. Produce remediation ticket\n - Include: consolidated title, root cause (e.g., improper input validation at controller X), affected assets, PoC, suggested fix, risk, owner, and test validation steps.\n7. Feedback loop\n - Track ticket resolution, re-scan to validate, tune correlation rules to reduce future false positives.\n\n**Example**\nDAST reports SQLi on /login?user; SAST shows unsanitized concatenation in AuthController.login; SCA flags old DB driver. Correlate into one ticket: root cause = unsanitized input + vulnerable driver; remediation = parameterized queries + upgrade driver; include exploit request/response and SAST trace."}}]}
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Entry Level Penetration Tester Interview Preparation Guide for Microsoft

Penetration Tester
Microsoft
entry
7 rounds
Updated 6/15/2026

Microsoft's penetration tester interview process for entry-level candidates typically consists of a recruiter screening phase followed by technical phone screens to assess foundational security knowledge, then onsite rounds focusing on vulnerability identification, basic exploit development, hands-on security testing scenarios, and cultural fit. The process emphasizes practical security skills, problem-solving ability, and fundamental understanding of attack methodologies. Candidates should expect scenario-based assessments rather than pure theoretical questions.

Interview Rounds

1

Recruiter Screening

2

Technical Phone Screen 1: Security Fundamentals

3

Technical Phone Screen 2: Penetration Testing Fundamentals and Tools

4

Onsite Round 1: Vulnerability Identification and Assessment

5

Onsite Round 2: Exploit Development and Proof-of-Concept

6

Onsite Round 3: Security Scenario Analysis and Response

7

Onsite Round 4: Behavioral and Cultural Fit

Frequently Asked Penetration Tester Interview Questions

Vulnerability Scanning and InterpretationMediumTechnical
47 practiced
Discuss how to prioritize remediation for vulnerabilities discovered in legacy/third-party systems where immediate patching is impractical. Include compensating controls, risk acceptance processes, exception tracking, and communication with business stakeholders.
Vulnerability Identification and RemediationMediumTechnical
107 practiced
An application behaves differently in production due to feature flags and third-party integrations. Describe how you would perform environment-specific investigation to reproduce and test a vulnerability that only appears in production while minimizing impact on live users. Include tools and techniques you would use.
OWASP Top Ten and CWE Top Twenty FiveHardSystem Design
33 practiced
Design an end-to-end runtime detection and response architecture to detect OWASP Top Ten events for a multi-tenant SaaS with 5M monthly users. Cover instrumentation choices (RASP, WAF, application logs), telemetry pipelines, correlation rules, alerting thresholds, false-positive management, and performance / cost trade-offs. Specify concrete components and how alerts flow to ops.
Penetration Testing Tools and SelectionEasyTechnical
36 practiced
Compare Burp Suite Community, Burp Suite Professional, and OWASP ZAP for web application testing. For each tool list key strengths, weaknesses, and one scenario where you would prefer it. Include considerations for automation, extensibility, and licensing in CI/CD pipelines.
Communicating Security to StakeholdersEasyBehavioral
91 practiced
Tell me about a time when you had to present bad security news to senior leadership. Using the STAR method, describe the Situation, Task, Actions you took (especially how you adapted the message), and the Result. Highlight any measurable business outcomes or decisions that followed and what you learned about communicating under pressure.
Custom Exploit Development and Vulnerability ResearchMediumTechnical
45 practiced
Practical task: describe the minimal fuzzing harness pseudocode you would write to fuzz a CLI image parser that reads from stdin and dereferences pointers based on parsed headers. Specify which sanitizers to enable, how to instrument for coverage, and how to detect and handle crashes that indicate exploitable memory corruption.
Penetration Testing Lifecycle and ExecutionMediumTechnical
87 practiced
After delivering findings, a client applies patches and requests a retest. Describe a remediation verification process that defines the retest scope, how to select which findings to recheck, regression testing approaches, timeboxing the retest effort, and how to handle partially implemented fixes that may introduce regressions or new issues.
Web Application Penetration Testing and Dynamic Application Security TestingEasyTechnical
56 practiced
Describe stored, reflected, and DOM-based XSS vulnerabilities. For each type, provide an example scenario where it commonly occurs, a simple payload that demonstrates the issue in a browser context, and a mitigation approach developers should implement.
Reconnaissance and Information GatheringMediumTechnical
83 practiced
Write a Python script (requests module allowed) that queries crt.sh for a given domain and extracts unique subdomains from certificate common names and SAN fields. The script should avoid duplicates, handle JSON output, and print the sorted subdomain list. Do not perform DNS resolution in this task; focus only on fetching and parsing CT results.
Vulnerability Identification and RemediationMediumTechnical
77 practiced
Multiple tools reported similar issues across different components. Describe a practical process to correlate results from SAST, DAST, SCA, and manual testing to identify unique root causes, remove duplicates, and produce consolidated remediation tickets developers can action.

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Microsoft Penetration Tester Interview Questions & Prep Guide (Entry Level) | InterviewStack.io