How To Spot Fake Network Engineers On LinkedIn

With the rise of LinkedIn scams, it’s crucial to identify fake network engineers. Here’s how to detect them and protect yourself from fraudulent profiles.

You Should Know:

1. Verify LinkedIn Profiles

Check their “Skills” section for network engineering keywords (Cisco, BGP, OSPF, Ansible).
Use LinkedIn’s “People Also Viewed” to compare with legitimate profiles.

2. Analyze Their Activity

Run OSINT tools to verify employment history:

theharvester -d linkedin.com -l 100 -b google -f results.html

Cross-check their company via WHOIS lookup:
```
whois example.com
```

3. Detect Fake Certifications

Validate Cisco/Palo Alto certs using:

curl -s https://www.cisco.com/c/en/us/training-events/training-certifications/certifications/verify.html | grep "Certification Status"

4. Automate Suspicious Message Filtering

Use Python + LinkedIn API to flag scammy InMails:

import re 
scam_keywords = ["urgent", "opportunity", "investment", "network engineer"] 
if any(keyword in message.lower() for keyword in scam_keywords): 
print("Potential scam detected!")

5. Block & Report Fraudulent Accounts

Linux command to block IPs of known scammers:

sudo iptables -A INPUT -s 192.168.1.100 -j DROP

6. Enhance LinkedIn Security

Enable two-factor authentication (2FA) on LinkedIn.
Use Kali Linux tools to audit suspicious links:
```
urlcrazy -k -o output.txt scam-link.com
```

What Undercode Say:

Fake network engineers exploit trust gaps in LinkedIn’s verification system. Automate checks, enforce strict profile scrutiny, and use cybersecurity tools to filter scams.

Prediction:

LinkedIn will face stricter regulations on profile verification, pushing AI-driven background checks.

Expected Output:

Verified LinkedIn Profile
Blocked Suspicious IPs
Automated Scam Detection Logs

URLs for Further Reading:

References:

Reported By: Rachelbicknell If – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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