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Job Posting Fraud Detector Browser Extension
A browser extension that analyzes job posting pages and company recruitment sites in real time, checking domain reputation, detecting suspicious OAuth or booking flows, and warning job seekers before they interact with fraudulent recruitment pages.
Why this matters
You are a job seeker, possibly a recent graduate, eager to find your first professional role. You receive a recruiting email from what appears to be a well-known brand in your industry. The company website looks legitimate—real job descriptions, professional design, even the URL seems to match. You click through to book an interview and are prompted to authenticate with Google. Everything looks normal. But the entire site is a sophisticated front designed to harvest your Google Ads account access through a disguised OAuth flow. You have no way to know this site has been live for months, that the brand being impersonated has no idea it exists, or that the booking flow is actually a permission trap. You need something watching your back before you click.
- · Built for Active job seekers, particularly recent graduates and junior professionals, plus university career centers and job platforms wanting to protect their users.
- · Most likely monetization: freemium.
The Pain · Narrative
You are a job seeker, possibly a recent graduate, eager to find your first professional role. You receive a recruiting email from what appears to be a well-known brand in your industry. The company website looks legitimate—real job descriptions, professional design, even the URL seems to match. You click through to book an interview and are prompted to authenticate with Google. Everything looks normal. But the entire site is a sophisticated front designed to harvest your Google Ads account access through a disguised OAuth flow. You have no way to know this site has been live for months, that the brand being impersonated has no idea it exists, or that the booking flow is actually a permission trap. You need something watching your back before you click.
Score Breakdown
Market Signal
Go-to-Market
University career centers wanting to protect students from recruitment scams, and mid-size job platforms wanting to pre-screen postings
~5K university career centers globally plus ~500 mid-size job boards that could license the detection API
Direct outreach to university career center directors and job platform product teams
$1,500/year for university license covering all students; $5K/month for job platform API integration
3 university career centers piloting the tool within 60 days
MVP Scope · 1–2 weeks
- Build Chrome extension scaffold with page analysis content scripts
- Implement domain registration age and WHOIS lookup integration
- Create brand impersonation detection comparing domain names against known company databases
- Build risk scoring algorithm combining domain age, content patterns, and known scam list
- Design warning overlay UI for suspicious recruitment pages
- Add OAuth flow detection on scheduling and booking pages within job sites
- Implement community reporting system for users to flag new scam domains
- Build simple API endpoint for job platforms to check URLs in batch
- Create landing page targeting university career centers with pilot program offer
- Set up automated domain scanning to proactively discover lookalike recruitment sites
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1Individual job seekers have extremely low willingness to pay for security tools, and the free version may suffice, making the freemium model hard to monetize
- 2Scam operators can spin up new domains in hours, meaning any static database approach will always lag behind active threats
- 3False positives blocking legitimate small business recruitment pages could generate complaints and damage the product's reputation before it gains traction
Evidence Summary
How AI synthesized this insight — no verbatim quotes
One commenter explicitly wondered how many fresh graduates fall for this scam thinking they finally got a career break, highlighting the vulnerability of this segment. Another commenter in the same industry reported receiving the scam recruiting email and noted the site had been live for a long time, confirming that scam sites persist undetected. The sophistication of the fake site—passing URL inspection and visual scrutiny—was noted by multiple commenters, indicating that casual human verification is insufficient.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Validate
Promising signals, but needs confirmation. Create a landing page, collect email sign-ups, then decide.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Job Posting Fraud Detector Browser Extension
Sub-headline
A browser extension that analyzes job posting pages and company recruitment sites in real time, checking domain reputation, detecting suspicious OAuth or booking flows, and warning job seekers before they interact with fraudulent recruitment pages.
Who It's For
For Active job seekers, particularly recent graduates and junior professionals, plus university career centers and job platforms wanting to protect their users
Feature List
✓ Real-time domain analysis checking registration age, brand impersonation patterns, and known scam database ✓ OAuth and authentication flow detection on booking or scheduling pages within job sites ✓ Risk scoring combining domain age, content analysis, and community reports ✓ Warning overlay before user interacts with suspicious recruitment pages ✓ One-click reporting to contribute to community scam database
Where to Validate
Share your landing page in r/r/PPC — that's exactly where these pain points were discovered.
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