Checks whether a Google Form is likely a scam before you fill it in.
Users
6
0 in 30 days
Rating
4.6 / 5
+0.27 in 30 days
Ratings
5
+2 in 30 days
Store rank
#231K
#194K among extensions
Version
0.1.0
updated 7 Sep 2026
Users
monthly, 1 months
Latest, 20 Oct 2026:6 usersMove the mouse over the chart for any month
Ratings count
monthly, 1 months
Latest, 20 Oct 2026:5 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About Google Forms Scam Analyzer
Google Forms Scam Analyzer checks whether a Google Form you've been sent
is likely a scam before you enter any personal information.
WHAT IT CHECKS
- Wording - urgency tactics, too-good-to-be-true offers, requests for
sensitive information (bank details, SSNs), impersonal mass-mail
language
- Link reputation - the form's own link and any embedded links inside
it, checked against Google Safe Browsing and VirusTotal
- Domain history - whether a linked domain has any prior scan history
- Named entities - any people or organizations mentioned are searched
for existing scam/fraud reports, with the exact supporting evidence
shown if something's flagged
HOW IT WORKS
Click the extension icon while viewing a Google Form, hit "Scan this
form," and get a verdict - Scam, Legit, or Uncertain - with a confidence
score and the specific reasons behind it, plus a full breakdown of every
check performed.
YOUR OWN API KEYS
This extension is bring-your-own-key. Add a free Gemini or Groq API key
in settings (required) and optionally free keys for Safe Browsing,
VirusTotal, urlscan.io, and Tavily (all optional, no card needed for
any of them). Your keys are stored only on your device and sent only to
the analysis server as part of each scan request - never stored on any
server, never shared.
LIMITATIONS
This is a heuristic tool - pattern-matching on wording and reputation
lookups, not a trained classifier validated against a labeled scam
dataset. It catches common, recognizable scam patterns; it won't catch
everything, especially very new scams with no reputation history yet.
Treat the verdict as a strong signal to look closer, not a guarantee.
Source code is public
on GitHub.