Security Scan Report: parlmsogn.firebaseapp.com

Redirected to:
https://mobile-connect.pages.dev/?iduser=TkRjM013PT0=&k5=59DTM
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Submitted: Sep 29, 2026, 6:51:57 PMCompleted: Sep 29, 2026, 6:52:30 PMpubliccompleted

This website contacted 9 IPs in 1 country across 6 domains to perform 8 HTTP transactions. The main domain is mobile-connect.pages.dev and was registered 17 years ago.

Submitted URL: https://parlmsogn.firebaseapp.com/

Effective URL:

https://mobile-connect.pages.dev/?iduser=TkRjM013PT0=&k5=59DTM
Redirected

AI Security Verdict

High Risk

Confidence: 75%

8
Risk Score

Fake Google 'Loading' page hosted on pages.dev/firebaseapp.com that wears Google's copyright and policies, redirects with base64 tracking params and beacons to an unranked external host — brand impersonation hosting suspected phishing redirect.

Risk Factors (5)
Impersonation of Google branding on a non-Google pages.dev / firebaseapp.com host
Unknown creation date for the shared-hosting subdomain (cannot be treated as established)
Base64-encoded iduser parameter and tracking token in the redirect URL
Cross-origin fetch to an unranked, unrelated external host (connect.robot-agachado.org)
External IP-lookup beaconing (api.ipify.org) with a CRITICAL IDS alert
Domain age information unavailable

Details

Page Title

Loading Page

Scan Type

public

Domain Name Analysis

Domain 'parlmsogn.firebaseapp.com' uses the commercial generic top-level domain (.com) with subdomain 'parlmsogn'. Count 11 characters in 'firebaseapp' split between five vowels and six consonants. Segmentation suggests 3 words: fire, base, app. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://parlmsogn.firebaseapp.com/

Page Load Overview

0.69s
Total Load Time
13 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
8172.66.44.157Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.157.119Google · CDNUnited States
AS15169Google LLC
0172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.178.183.101Google · CDNUnited States
AS15169Google LLC
0172.66.47.99Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.156.119Google · CDNUnited States
AS15169Google LLC
0104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.14.139Google · CDNUnited States
AS15169Google LLC
89--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F982C1E93696300B22FCED8FDB3585FB069854B214A7B41EBE4E74E523705E88DB2453

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:1Q5fVLFovLJwpIGl3k7U4ebcT3Kn/QFyaYh5rfMSbOakeGGgVVQ:2F7IGl3kg4ebcTVYj1bOakeGtVVQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17897:8EYQohooMRgkAgBRgF4EJwBh0FYQYRKGiIKQXtMBECEZ6gQElgjgKApBhEK/AYoVh0iuoI6gB8AIqkAVUOoSUAKQohirCE4O

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:#2d8649

Other Hashes

Crop Resistant:0000102a20100000

Scan History

Scan history not available

Unable to load historical scan data