Security Scan Report: abbbs1.pages.dev

Submitted: Jan 24, 2026, 2:17:40 PMCompleted: Jan 24, 2026, 2:18:42 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is abbbs1.pages.dev and was registered NaN years ago.

Submitted URL: https://abbbs1.pages.dev/sv

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Brand impersonation of Speedtest on an untrusted subdomain; treat as phishing.

Risk Factors
Brand impersonation (Speedtest branding on non‑official domain)
Subdomain on hosting platform with unknown age
Unranked domain for a major brand
Potentially new subdomain (moderate suspicion)
Domain age information unavailable

Details

Page Title

429 Too Many Requests

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

technology software

(36%)

Domain Information

Domain 'abbbs1.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'abbbs1'. The core label 'pages' covers 5 characters holding two vowels versus 3 consonants. Tokenizing the label suggests one word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://abbbs1.pages.dev/sv

Page Load Overview

3.32s
Total Load Time
79
HTTP Requests
27
Domains
3.4 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:2,396 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software36% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
36%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
79188.114.97.3United States
AS13335CLOUDFLARENET
791--

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:00ffffffffffffff
Perceptual Hash:e666666666666632
Difference Hash:0c00000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#87c5b6

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

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