Job Scam
Cybersecurity

Job Scam

Upload an offer letter, employment contract, or recruiter email to automatically analyze it for job scam indicators. The workflow utilizes Natural Language Processing (NLP) to detect suspicious phrasing, artificial urgency, and illicit requests for upfront payments.

It also cross-references corporate domains, recruiter contact details, and company metadata against threat intelligence databases to generate a comprehensive risk report, protecting job seekers from financial fraud and credential harvesting.

4.5Rating
98.7Accuracy

Key Features

Domain & Identity Verification

Cross-checks recruiter email addresses, company domains, and contact details to identify spoofed or recently registered fake corporate identities.

Financial Request Detection

Scans documents for subtle or overt requests for upfront payments, training fees, or 'equipment purchases' common in employment scams.

Language & Urgency Analysis

Utilizes NLP to detect overly aggressive timelines, unprofessional phrasing, and psychological manipulation tactics used by scammers.

Salary Anomaly Detection

Compares offered compensation against industry standards to flag "too good to be true" salary packages meant to lure victims.

Who is Job Scam this for?

  • Verifying unexpected or unsolicited job offers received via email or social media
  • Checking the legitimacy of a company before sharing sensitive documents (SSN, passport)
  • Analyzing remote work contracts for hidden fees or suspicious clauses
  • Validating recruiter identities against official corporate directories

Why choose Job Scam ?

  • Prevents severe financial loss from fake equipment check scams
  • Protects personal and sensitive data from identity thieves
  • Provides peace of mind and confidence when accepting a new career opportunity
  • Saves time by quickly filtering out illegitimate job prospects
  • Educates users on the red flags of modern employment fraud

Process

1

Upload Document

Submit your employment offer letter, contract, or a PDF printout of the recruiter's email for analysis.

Tip: Include headers if uploading an email to allow for proper domain verification.
Est. Time: 1 min
2

Data Extraction & Entity Recognition

Our AI extracts key entities such as company names, contact info, salary details, and specific contractual clauses.

  • Named Entity Recognition (NER)
  • PDF Text Extraction
Est. Time: 10 seconds
3

Threat & Legitimacy Analysis

Extracted details are analyzed for scam indicators, and company domains are checked against known threat intelligence feeds.

  • Domain age & reputation check
  • NLP sentiment & urgency analysis
  • Scam pattern matching
Est. Time: 10-15 seconds
4

Review Risk Report

Receive a clear, actionable report detailing the legitimacy of the offer, identified red flags, and a final risk score.

  • Downloadable PDF
  • Web dashboard view
Est. Time: Instant

Specifications

Technical Details

AI Models
Cybersecurity NLP ClassifierNamed Entity Recognition (NER) EngineDomain Reputation API integration
Processing Time

15-25 seconds

Retention

30 days (if user opts in)

Security & Privacy

  • AES-256 Encryption
  • TLS 1.3 Encryption
  • GDPR Compliant
  • ISO/IEC 27001 Compliant

Expected Output

Job Offer Authenticity Report

Format: PDF/HTML/JSON

A comprehensive breakdown of the employment offer's risk level, highlighting specific red flags and domain anomalies.

What's Inside:

Overall Risk Score & VerdictIdentified Red Flags (NLP Analysis)Domain & Recruiter VerificationSafety Recommendations

Features

Downloadable
Actionable Advice
Secure and Private