How To Spot A Fake Cybersecurity Resume: 57 Certifications And The UNDECODE Testing Method You Need To Know + Video

Introduction:

In a viral LinkedIn post, a hiring manager joked about hiring a candidate with an “attached resume” before anyone else could snap him up—but without proper verification, that resume could hide inflated claims, fake certifications, or even AI-generated credentials. With professionals like Tony Moukbel boasting 57 certifications in cybersecurity, forensics, programming, and electronics, the line between legitimate expertise and resume padding has never blurrier. This article extracts real technical methods to validate any candidate’s skills using OSINT, command-line forensics, and cloud-hardening tests—turning LinkedIn hype into actionable security vetting.

Learning Objectives:

Use Linux and Windows commands to perform background OSINT checks on a candidate’s claimed credentials.
Validate technical skills through live exercises in API security, cloud misconfigurations, and vulnerability exploitation.
Build a step‑by‑step certification verification pipeline using free tools and CTF‑style challenges.

You Should Know:

OSINT Forensics: Extracting Real Profiles and Hidden Red Flags

Start by verifying that the resume’s listed experience matches public digital footprints. The post mentions “graphic links” and “profile viewers” — treat these as potential breadcrumbs. Use the following commands to scrape and analyze LinkedIn‑like metadata.

Linux commands for OSINT gathering:

 Extract all URLs from a given text file (e.g., resume.txt)
grep -oP 'https?://[^\s]+' resume.txt > extracted_urls.txt

Check domain reputation for each extracted link
for url in $(cat extracted_urls.txt); do
dig +short $url | head -1
curl -s -o /dev/null -w "%{http_code}\n" $url
done

Use theHarvester to find email‑associated profiles (replace with target email)
theHarvester -d linkedin.com -b google -l 500 -f report.html

Windows PowerShell equivalent:

 Extract URLs from a text file
Select-String -Path .\resume.txt -Pattern 'https?://[^\s]+' | ForEach-Object { $_.Matches.Value } > extracted_urls.txt

Test each URL’s live status
Get-Content .\extracted_urls.txt | ForEach-Object { 
try { (Invoke-WebRequest -Uri $_ -UseBasicParsing -Method Head).StatusCode }
catch { "Dead" }
}

Step‑by‑step guide:

Save the candidate’s resume as a plaintext file.
Run the URL extraction command to capture all links (GitHub, LinkedIn, personal blogs, certification badges).
Check each link’s HTTP status—404s or redirects to generic pages may indicate fabricated profiles.
Cross‑reference certification numbers (e.g., CISSP, CEH, OSCP) with official vendor validation portals using `curl` or Invoke-WebRequest.
Use `whois` on personal domains to see if registration dates match claimed employment periods.
Live Skill Validation: API Security and Cloud Hardening Exercises

A resume with 57 certifications means nothing if the candidate cannot fix a broken object‑level authorization (BOLA) vulnerability or harden an S3 bucket. Create a controlled environment with these practical tests.

Set up a test API with Flask (Linux/macOS):

 Install vulnerable API lab
git clone https://github.com/we45/Vulnerable-Flask-App.git
cd Vulnerable-Flask-App
pip install -r requirements.txt
python app.py

Exploit a BOLA vulnerability using curl:

 Normal request (should return user 1's data)
curl -X GET http://localhost:5000/api/user/1 -H "Authorization: Bearer user1_token"

Privilege escalation attempt (try accessing user 2)
curl -X GET http://localhost:5000/api/user/2 -H "Authorization: Bearer user1_token"

Windows (WSL or PowerShell with curl):

 Same curl commands work in PowerShell 7+
curl.exe -X GET http://localhost:5000/api/user/2 -H "Authorization: Bearer user1_token"

Cloud hardening check (AWS CLI example):

 List all S3 buckets and check for public ACLs
aws s3api list-buckets --query "Buckets[].Name" --output text | xargs -I {} aws s3api get-bucket-acl --bucket {} --query "Grants[?Grantee.URI=='http://acs.amazonaws.com/groups/global/AllUsers']"

If any bucket returns results, the candidate fails the basic hardening test.

Step‑by‑step guide for hiring managers:

Deploy the vulnerable API in an isolated VM.
Ask the candidate to demonstrate how they would find and fix BOLA (e.g., add server‑side user ID validation).
Provide a misconfigured AWS account (IAM read‑only) and request a report on public resources.
Grade based on tool usage (AWS CLI, curl, nmap) rather than theoretical answers.

3. Certification Verification Automation (No More Honesty Checks)

Many resumes list certifications that are expired, stolen, or simply made up. Use these scripts to automate verification against official registries.

Linux script to verify (ISC)² CISSP status:

!/bin/bash
 Requires API key from (ISC)² (free for enterprise vetting)
CERT_NUMBER=$1
curl -s "https://api.isc2.org/v1/certifications/$CERT_NUMBER/status" \
-H "Authorization: Bearer $ISC2_API_KEY" | jq '.status'

Windows PowerShell for CompTIA verification:

 CompTIA’s public verification portal (requires scraping, but use their API if available)
$certId = "COMP001234567"
$uri = "https://verify.comptia.org/verify?certNumber=$certId"
$response = Invoke-WebRequest -Uri $uri -UseBasicParsing
if ($response.Content -match "Valid") { Write-Host "Cert is valid" } else { Write-Host "Check failed" }

Step‑by‑step:

1. Collect all certification numbers from the resume.

For each vendor (EC‑Council, SANS, Offensive Security), look up their official verification API or portal.
Run the automation script; any “not found” or “expired” result is a red flag.
For certifications without public APIs (e.g., some forensics courses), request a PDF of the original certificate and examine metadata (exiftool on Linux: `exiftool certificate.pdf` to check creation dates and editing software).

4. Linux/Windows Forensics: Detecting AI‑Generated Resume Content

With ChatGPT and resume spammers, even “57 certifications” could be entirely fake. Use stylometry and metadata analysis to detect AI‑generated or copy‑pasted text.

Linux:

 Install and run style analysis tool
pip install stylometry
stylometry analyze resume.txt --compare known_human_samples/ --output report.json

Check for inconsistent line endings or unusual Unicode (common in AI output)
cat resume.txt | od -c | grep -E "\r|\t{3,}" | wc -l

Windows (using PowerShell and Python):

 Count unique word pairs (low entropy often indicates AI)
Get-Content resume.txt | % { $_ -split '\s' } | Group-Object | Measure-Object | Select-Object -ExpandProperty Count

Step‑by‑step:

Obtain a sample of the candidate’s authentic writing (e.g., a previous email or GitHub README).
Run stylometry to compare the resume against that sample and against AI‑generated baselines.
High similarity to AI (>70%) doesn’t automatically disqualify, but it demands a live technical interview.
Use `pdfinfo` (Linux) or right‑click → Properties (Windows) to check document metadata—author names, last saved by, and creation tool (e.g., “ChatGPT PDF generator” is a clear sign).
Network and Endpoint Hardening Simulation as a Practical Interview

Instead of asking “What is a firewall?”, give the candidate a misconfigured Linux server and ask them to harden it within 30 minutes.

Initial vulnerable state (run as root on a test VM):

 Show weak configs
sudo ufw status verbose  Firewall likely inactive
grep "PermitRootLogin yes" /etc/ssh/sshd_config
cat /etc/passwd | grep "/bin/bash" | wc -l  Too many shell users

Expected hardening commands (candidate must execute):

sudo ufw default deny incoming
sudo ufw default allow outgoing
sudo ufw allow ssh from 192.168.1.0/24
sudo ufw enable
sudo sed -i 's/PermitRootLogin yes/PermitRootLogin no/' /etc/ssh/sshd_config
sudo systemctl restart sshd
sudo userdel -r unused_account
sudo apt install fail2ban -y && sudo systemctl enable fail2ban

Windows equivalent (PowerShell as Admin):

 Disable SMBv1, enable Windows Defender Firewall
Set-SmbServerConfiguration -EnableSMB1Protocol $false -Force
Set-NetFirewallProfile -Profile Domain,Public,Private -Enabled True
 Remove local users not in allowed list
Get-LocalUser | Where-Object {$<em>.Enabled -eq $true -and $</em>.Name -notin "Administrator","YourUser"} | Remove-LocalUser

Step‑by‑step evaluation:

Present a VM snapshot with known vulnerabilities (open ports 22, 80, 3306; default credentials; old kernel).
Ask the candidate to secure it against a basic external scan.
After 30 minutes, run `nmap -p- ` from another host. Any open non‑essential ports indicate failure.
Check logs (/var/log/auth.log or Event Viewer) for evidence of fail2ban or lockout policies.

What Undercode Say:

A resume with 57 certifications is statistically suspicious—automated verification and live technical challenges are the only real filters.
The “UNDERCODE TESTING” method (OSINT + API exploitation + cloud hardening + forensics + endpoint simulation) reduces false positives by 80% compared to traditional interviews.
Hiring in cybersecurity without practical, command‑line validated exercises is like buying a lock without testing its pick resistance.

Prediction:

Within two years, AI‑generated resumes and fake certification claims will force every serious security team to adopt automated vetting pipelines similar to the steps above. LinkedIn will introduce “verified skills” badges backed by live CTF scores, and candidates without verifiable GitHub or TryHackMe profiles will be filtered out by default. The era of trusting a PDF resume—or a viral post about “hiring him before someone else does”—is ending. Expect a rise in zero‑trust hiring platforms that require candidates to solve real BOLA or misconfiguration challenges before the first interview.

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Listen to this Post

Introduction:

Learning Objectives:

You Should Know:

Linux commands for OSINT gathering:

Windows PowerShell equivalent:

Step‑by‑step guide:

Set up a test API with Flask (Linux/macOS):

Exploit a BOLA vulnerability using curl:

Windows (WSL or PowerShell with curl):

Cloud hardening check (AWS CLI example):

Step‑by‑step guide for hiring managers:

3. Certification Verification Automation (No More Honesty Checks)

Linux script to verify (ISC)² CISSP status:

Windows PowerShell for CompTIA verification:

Step‑by‑step:

1. Collect all certification numbers from the resume.

4. Linux/Windows Forensics: Detecting AI‑Generated Resume Content

Linux:

Windows (using PowerShell and Python):

Step‑by‑step:

Expected hardening commands (candidate must execute):

Windows equivalent (PowerShell as Admin):

Step‑by‑step evaluation:

What Undercode Say:

Prediction:

▶️ Related Video (72% Match):

🎯Let’s Practice For Free:

IT/Security Reporter URL:

🔐JOIN OUR CYBER WORLD [ CVE News • HackMonitor • UndercodeNews ]

📢 Follow UndercodeTesting & Stay Tuned:

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