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Security Scan Report: ggl-f2o.pages.dev

Submitted: Dec 20, 2025, 8:19:39 AMCompleted: Dec 20, 2025, 8:21:28 AMpubliccompleted
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Summary

This website contacted 64 IPs in 7 countries across 53 domains to perform 163 HTTP transactions. The main domain is ggl-f2o.pages.dev and was registered NaN years ago.

Submitted URL: https://ggl-f2o.pages.dev/de

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Site mimics Ookla Speedtest on an untrusted domain; likely phishing and should be avoided.

Risk Factors
Brand impersonation on a non‑official domain
Unranked domain with brand claim
Excessive redirects (24) suggesting suspicious navigation
Rate‑limit response (429) may indicate abusive activity
Domain age information unavailable

Details

Page Title

429 Too Many Requests

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

technology software

(52%)

Domain Information

You're looking at domain 'ggl-f2o.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'ggl-f2o'. Its registrable label 'pages' stretches across 5 characters containing two vowels alongside 3 consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ggl-f2o.pages.dev/de

Page Load Overview

2.75s
Total Load Time
163
HTTP Requests
53
Domains
3.4 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:2,397 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software52% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
52%
government public service
27%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3754.81.7.177Ashburn, Virginia, United States
AS14618AMAZON-AES
2108.156.22.129United States
AS16509AMAZON-02
288.221.169.246Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2216.58.209.170United States
AS15169GOOGLE
2104.18.27.193United States
AS13335CLOUDFLARENET
213.33.235.48New York, New York, United States
AS16509AMAZON-02
254.72.94.110Dublin, Leinster, Ireland
AS16509AMAZON-02
269.173.156.138Netherlands
AS26667RUBICONPROJECT
254.235.246.67Ashburn, Virginia, United States
AS14618AMAZON-AES
234.120.133.55Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
16364--

Detected Technologies4

Open-Graph-Protocolvwebsite
100%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BBF0909F9F16303F2E238572F8835168CF740966EB9C25E28749215F72CA041C8B5FAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxYy1bx0AqNvlIgIHTF83TF83TF83TF83TF83TFf:kl1mAW8TuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:554:AAAAAAAAEAgAAAAAAAgAIAAAAAABAAAAAAAAQAAAAAAAAAIAAAAAAAAAAAAACAAAAIAAAABBAAAAAAAAACAQAAAAAAAQAEAA

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:c3e7ffffffffffff
Perceptual Hash:e464646464747d7d
Difference Hash:9608000000000000
Wavelet Hash:c300ffff00000000
Color Hash:#a1d279

Other Hashes

Crop Resistant:9608000000000000

Scan History

Scan history not available

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