Security Scan Report: gsf-5hq.pages.dev

Submitted: Jan 24, 2026, 1:25:42 AMCompleted: Jan 24, 2026, 1:26:50 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 5 domains to perform 17 HTTP transactions. The main domain is gsf-5hq.pages.dev and was registered NaN years ago.

Submitted URL: https://gsf-5hq.pages.dev/contact/?category=building

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Site claims Gulf Steel Foundation but uses a generic pages.dev subdomain; moderate risk – verify legitimacy before providing any information.

Risk Factors
Brand impersonation: claims to represent Gulf Steel Foundation on a non‑official domain
Unknown subdomain age on a generic .pages.dev hosting platform
Presence of a contact form that could be used to collect user data
Safety Factors
No password or payment fields
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No redirects or external domains
Served over HTTPS
Domain age information unavailable

Details

Page Title

Contact — Gulf Steel Foundation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(97%)

Domain Information

Domain 'gsf-5hq.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'gsf-5hq'. Count 5 characters in 'pages' containing 2 vowels alongside three consonants. Tokenizing the label suggests 1 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://gsf-5hq.pages.dev/contact/?category=building

Page Load Overview

1.17s
Total Load Time
17
HTTP Requests
5
Domains
9.5 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:482 chars
Detector Agreement:60%

Website Classification

Primary Category

social media network97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
97%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.26.12.204United States
AS13335CLOUDFLARENET
2172.66.44.193United States
AS13335CLOUDFLARENET
2172.67.71.159United States
AS13335CLOUDFLARENET
2172.66.47.63United States
AS13335CLOUDFLARENET
2172.217.18.10United States
AS15169GOOGLE
2104.16.175.226United States
AS13335CLOUDFLARENET
2142.250.185.67United States
AS15169GOOGLE
177--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17442B56064F1023A537385EAA751BF19BEA5D307CE2FE855B1AC5B9C0FC2D928E1325C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nhRoy3Z9O12jMPOMfWfgfUz6m/r2DWoyp8eqq4+AsvmumM1AQqApLFcqryOPCfac:hRoy3M9tsmO6faRP0/RZemFXrv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13019:CQwMSoRARjAZckQkAglkzMLBaUYiwcShwSFBugUEkiBAixIkSU0EBDGgRIImIEYJDaghVRBlQVsbAaRggYhSOlbAKAQCwNyF

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:0000000000ffffff
Perceptual Hash:e22a9fe8609f9d60
Difference Hash:4b4141cd8531080c
Wavelet Hash:010000e0f0ffffff
Color Hash:#78663a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data