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

Redirected to: https://gsf-5hq.pages.dev/contact/?category=lifting

Submitted: Jan 23, 2026, 7:43:47 PMCompleted: Jan 23, 2026, 7:44:57 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 5 domains to perform 18 HTTP transactions. The main domain is gsf-5hq.pages.dev and was registered NaN years ago.

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

Effective URL: https://gsf-5hq.pages.dev/contact/?category=liftingRedirected

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site shows moderate risk due to unknown subdomain age and low reputation, but no credential or payment collection.

Risk Factors
Unknown subdomain age – could be newly created
Unranked domain reputation
Brand mention on a low‑reputation, newly created subdomain
Safety Factors
No password or payment fields
No malicious Indicators of Compromise detected
Standard contact form (email only) – not credential harvesting
HTTPS connection
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

The domain 'gsf-5hq.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'gsf-5hq'. The second-level label 'pages' is 5 characters long containing two vowels alongside 3 consonants. It segments into 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://gsf-5hq.pages.dev/contact/index.html?category=lifting

Page Load Overview

1.24s
Total Load Time
18
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
3151.101.1.229United States
AS54113FASTLY
3142.251.141.131United States
AS15169GOOGLE
3172.66.47.63United States
AS13335CLOUDFLARENET
3172.66.44.193United States
AS13335CLOUDFLARENET
3192.178.170.95United States
AS15169GOOGLE
3104.26.13.204United States
AS13335CLOUDFLARENET
186--

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:4f4161c98531080c
Wavelet Hash:010000e0f0ffffff
Color Hash:#d22dc2

Other Hashes

Crop Resistant:4f4161c98531080c,4f4b414141c58585

Scan History

Scan history not available

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