Security Scan Report: hahgar27288494932726.pages.dev

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Submitted: Nov 24, 2025, 11:21:04 PMCompleted: Nov 24, 2025, 11:24:10 PMpubliccompleted
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Summary

This website contacted 42 IPs in 5 countries across 14 domains to perform 89 HTTP transactions. The main domain is hahgar27288494932726.pages.dev.

Submitted URL: https://hahgar27288494932726.pages.dev/awards

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Site impersonates Speedtest Awards on a new unranked pages.dev domain – confirmed scam.

Risk Factors
Brand impersonation of Speedtest (Ookla) on a non‑official domain
UNRANKED / low‑reputation domain (pages.dev subdomain)
Likely newly registered domain (no age data, appears brand‑new)
Mismatch between displayed brand and final URL domain
Domain age information unavailable

Details

Page Title

Speedtest Awards presented by Ookla

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(49%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'hahgar27288494932726.pages.dev' is registered; it also runs on subdomain 'hahgar27288494932726'. The core label 'pages' covers 5 characters containing 2 vowels alongside three consonants. It segments into one word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hahgar27288494932726.pages.dev/awards

Page Load Overview

1.18s
Total Load Time
89
HTTP Requests
14
Domains
2.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:3,115 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software49% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
49%
documentation technical
41%
government public service
25%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
58172.66.44.76United States
AS13335CLOUDFLARENET
6104.18.86.42United States
AS13335CLOUDFLARENET
534.233.68.204Ashburn, Virginia, United States
AS14618AMAZON-AES
3216.239.34.36United States
AS15169GOOGLE
3108.128.80.247Dublin, Leinster, Ireland
AS16509AMAZON-02
323.36.162.6Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
244.209.250.203Ashburn, Virginia, United States
AS14618AMAZON-AES
295.101.116.86Warsaw, Mazovia, Poland
AS20940Akamai International B.V.
213.32.121.112New York, New York, United States
AS16509AMAZON-02
279.140.80.235Italy
AS6762TELECOM ITALIA SPARKLE S.p.A.
8942--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18845F1B66206313D6407CF6576F0BE453F310117D01A52B5FCB6F8288F8E6E8996BA8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:hjzC0e+1Wtvm9KY0Z/rZkkGjyTgi2zjI0Ubbgrw:lrKfjT9Mj80M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1255888:AACgg4MkCCKJwIM0YWh0Qg3EA1MJBCDBVjKGCADQAoWDIN0aaSAQAYC0ggTVRCLwJEQH6DDGcBCBAAYXQRhEEoADaYJQ6Ika

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:00617f7f1f3d3d3d
Perceptual Hash:8a457b383e474e35
Difference Hash:ddc9c5c535555555
Wavelet Hash:006177771f353535
Color Hash:#bf6240

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data