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Security Scan Report: aquadental.zapier.app

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Submitted: Dec 6, 2025, 1:44:09 PMCompleted: Dec 6, 2025, 1:45:48 PMpubliccompleted
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Summary

This website contacted 40 IPs in 3 countries across 11 domains to perform 69 HTTP transactions. The main domain is aquadental.zapier.app and was registered NaN years ago.

Submitted URL: https://aquadental.zapier.app/

The Cisco Umbrella rank of the primary domain is #78,534 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Well‑established domain (>3 years)
No malicious Indicators of Compromise detected
Cisco Umbrella ranking indicates reputable site
Only a standard chat input form, no credential collection
Domain age information unavailable

Details

Page Title

Chat

Scan Type

public

Language

🇸🇪

Swedish

(40% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'aquadental.zapier.app' on the application-focused generic top-level domain (.app) and includes subdomain 'aquadental'. The registrable portion 'zapier' spans 6 characters split between 3 vowels and three consonants. Word splitting yields two words: za, pier. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aquadental.zapier.app/

Page Load Overview

2.67s
Total Load Time
69
HTTP Requests
11
Domains
2.9 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:40%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:40%
Script Type:Latin
HTML Lang Attribute:en
Text Length:440 chars
Detector Agreement:50%
Language mismatch: Declared as en but detected as sv

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3976.76.21.21Walnut, California, United States
AS16509AMAZON-02
7142.250.186.163United States
AS15169GOOGLE
6172.217.18.3United States
AS15169GOOGLE
3142.250.186.100United States
AS15169GOOGLE
2172.217.208.95United States
AS15169GOOGLE
2146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
23.167.227.72United States
AS16509AMAZON-02
2146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113FASTLY
264.239.123.129United States
AS16509AMAZON-02
13.167.227.74United States
AS16509AMAZON-02
6940--

Detected Technologies4

Amazon Web Services
50%
Vercel
40%
HSTS
40%
Amazon S3
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4333B51790861296E17C79DA8D1B72DA006F003FDE288B8F28D0579B6C3FF71666ED8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:aosPKqn5Ocxksc64Jysq7v7dcI5pgHfsomC1PMUiqUiqetZi:7hAx/c64Jysq7vAKuuetZi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50938:QDwyzmBAEbbGlQgihEhERkUFBCAlAYyABBUb4gGgCRREgCcghkkA8gwYSYEGkYACTBZKAgGEnAp4JJzRAnBgKSsUhiiTiAQq

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:1c3c00000000003c
Perceptual Hash:9999993199747674
Difference Hash:3878040000001068
Wavelet Hash:1c3c0c0c0f0f3f3f
Color Hash:#2d5b86

Other Hashes

Crop Resistant:3878040000001068

Scan History

Scan history not available

Unable to load historical scan data