Paste any job ad and we'll cross-check corporate data, salary norms, recruiter footprint, and known scam fingerprints.
Every scan runs 50+ checks across eight verification layers. Here is what the job scam checker examines and why each check matters.
Checks whether the specific role exists on the company's official careers page. This is the single strongest signal of job legitimacy — scammers cannot replicate a real company's ATS listing. If the job is not there, the posting may be fake, expired, or a ghost job.
Verifies the company domain age (established vs brand-new), SSL certificate validity, WHOIS registration data, business registry presence, LinkedIn company page, and Glassdoor profile. Flags suspicious registrations under 90 days old.
Cross-references the recruiter's name and email against the employer's verified employee base on LinkedIn. Flags free-email addresses (Gmail, Yahoo, Outlook) used by corporate recruiters — a critical red flag in 94% of confirmed scams.
Compares the offered salary against real market data for the role, level, and location using Glassdoor, LinkedIn Salary, and Bureau of Labor Statistics data. Salary offers 50%+ above market for entry-level or vague roles are a consistent scam signal.
AI trained on thousands of confirmed scam cases detects: fake check language, task scam structures, identity harvest patterns, advance fee indicators, ghost job signals, impersonation fingerprints, and urgency manipulation tactics.
Validates phone numbers and email addresses against public complaint patterns, BBB Scam Tracker-style reports, and documented fraud indicators. Identifies recycled scammer contact details across multiple fake postings.
Checks domain age, registrar reputation, WHOIS data, MX record validity, and SSL certificate details. A domain registered in the last 30 days for a company claiming 10 years of operation is an immediate red flag.
Continuously updated cross-check against FTC fraud alerts, BBB Scam Tracker-style reports, IC3 guidance, community-reported patterns on Reddit and job boards, and JobScamScore's own verified scam database.
The checker accepts job postings in three formats. Each input type runs the full 50+ check suite — no checks are skipped based on how you submit the job.
Copy the complete job posting from any source — LinkedIn, Indeed, a recruiter email, a WhatsApp message — and paste it into the text field. The AI extracts company name, job title, salary, location, contact details, and job description automatically. Adding these fields manually improves accuracy for ambiguous or abbreviated postings.
Paste the direct URL of any job listing — from LinkedIn, Indeed, Glassdoor, Workday, Greenhouse, Lever, company career pages, or any other source. The checker fetches the page, extracts all relevant fields, and runs the full verification suite. This is the fastest method when you have a direct link.
Upload one or two screenshots of the job posting. Our AI extracts text via OCR, then runs the full check suite. For best accuracy, also enter the job title and company name manually — the checker uses these to verify against official sources even when screenshot text is cropped or unclear.
Clear results with cited evidence
The checker runs 50+ checks across company, recruiter, salary, domain, and fraud-pattern signals. You receive a clear Safe / Caution / Risky verdict with a 0–100 legitimacy score, a full breakdown of every check run, specific red and green flags with cited evidence, and actionable next steps.
The FTC reports that Americans lost over $500 million to job and employment scams in 2023. The BBB found that 1 in 3 people who encountered a job scam lost money — with a median loss of $1,500. The checker is built for anyone in an active job search.
These are the patterns the job scam checker weighs most heavily. Each contributes to the overall risk score. More than two of these in the same posting is a strong indicator of fraud.
The complete list of warning signs, sorted by severity. Critical flags first.
Read guideHow much do job scams cost? Which platforms are most targeted? FTC, BBB, IC3 data.
Read guideFake recruiter DMs, cloned company pages, phishing in interview messages.
Read guideHow scammers use generative AI to create convincing fake postings.
Read guide