Security Scan Report: bonheurterrirose.web.app

Redirected to:
https://mobile-escad.pages.dev/?iduser=TlRFMU13PT0=&Bh=hF2a1
Site favicon
Submitted: Sep 27, 2026, 10:54:22 PMCompleted: Sep 27, 2026, 10:54:59 PMpubliccompleted

This website contacted 9 IPs in 1 country across 6 domains to perform 10 HTTP transactions. The main domain is mobile-escad.pages.dev and was registered 17 years ago.

Submitted URL: https://bonheurterrirose.web.app/

Effective URL:

https://mobile-escad.pages.dev/?iduser=TlRFMU13PT0=&Bh=hF2a1
Redirected

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Cloaked 'Loading' interstitial on free pages.dev hosting that displays Google branding/copyright and runs obfuscated JS calling an unranked external sink — an impersonating redirect gateway with no forms or IoC hits.

Risk Factors (5)
Brand impersonation: Google copyright/consent text served from an unrelated free hosting subdomain
Cross-domain redirect gateway with base64-encoded iduser tracking parameter
Obfuscated JavaScript indicators in network IDS alerts
JavaScript contacts an unranked external domain (connect.robot-agachado.org) that has no relationship to the page content
Minimal cloaked 'Loading' content with no auditable site identity
Domain age information unavailable

Details

Page Title

Loading Page

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'bonheurterrirose.web.app' is registered; it also runs on subdomain 'bonheurterrirose'. Its registrable label 'web' stretches across 3 characters with one vowel and two consonants. Word splitting yields 1 word: web. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bonheurterrirose.web.app/

Page Load Overview

1.16s
Total Load Time
10 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:134 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software41% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
41%
news media journalism
40%
government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
1142.251.157.119Google · CDNUnited States
AS15169Google LLC
1104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1192.178.183.102Google · CDNUnited States
AS15169Google LLC
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.153.119Google · CDNUnited States
AS15169Google LLC
1104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.101Google · CDNUnited States
AS15169Google LLC
109--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B42283802EE0405573674AAA7B3725C4E0875C0FF688C0CBF87D6B846FA2A1ADEC1D75

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GQZflrF4f7Z0F/rEYNJT8Qaew9I479IJJTXJdjZAl:xFjQYr8Qar9h9uXJdjZa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10220:5CV4YoiQHkEElJoCzyYPJHALEywnSUahQMhGAECIAC2CCSza0AUQsEZtgQMAIDQMQ8DDgMEwSUBLsERQISUCqCgFBJwNBhDo

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:0000083c3c000000
Perceptual Hash:cc3333ccce3331cc
Difference Hash:0000102a20100000
Wavelet Hash:c0c0f4fcf8f0f0f0
Color Hash:#bfd279

Other Hashes

Crop Resistant:0000102a20100000

Scan History

Scan history not available

Unable to load historical scan data