Security Scan Report: mkinghamish.pages.dev

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Submitted: Dec 5, 2025, 9:34:50 AMCompleted: Dec 5, 2025, 9:35:37 AMpubliccompleted
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Summary

This website contacted 51 IPs in 2 countries across 14 domains to perform 40 HTTP transactions. The main domain is mkinghamish.pages.dev.

Submitted URL: https://mkinghamish.pages.dev/oqsuv-social-security-bend-points-2025-irdsz/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

High‑risk phishing site impersonating a major brand on an unranked, likely new domain.

Risk Factors
Brand impersonation on a non‑official domain
Unranked, low‑reputation domain
New or unknown domain age
Domain age information unavailable

Details

Page Title

Social Security Bend Points 2025 - M King Hamish

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'mkinghamish.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'mkinghamish'. The second-level label 'pages' is 5 characters long split between two vowels and three consonants. Segmentation suggests one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mkinghamish.pages.dev/oqsuv-social-security-bend-points-2025-irdsz/

Page Load Overview

1.36s
Total Load Time
40
HTTP Requests
14
Domains
923 KB
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-US
Text Length:3,276 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
40142.251.140.182United States
AS15169GOOGLE
21172.66.44.163United States
AS13335CLOUDFLARENET
5142.250.185.131United States
AS15169GOOGLE
2172.66.169.241United States
AS13335CLOUDFLARENET
2142.250.185.86United States
AS15169GOOGLE
2104.18.38.162United States
AS13335CLOUDFLARENET
1162.241.24.140United States
AS46606UNIFIEDLAYER-AS-1
1142.250.186.170United States
AS15169GOOGLE
1162.241.252.86United States
AS46606UNIFIEDLAYER-AS-1
1150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4051--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D753D9E3609521365D1787A593CC261CE9399E22CE024E69B1BD21195FC2FF913A733F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zMVM6MVM+MVMfMVMnMVMsMVMUMVMvsptI5ap7gYk3gXqxVxCO8sDiiARjtzqpC/g:gtVRjtzqpC/irQe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60975:YEw8CCIBnFDVwCNEAgIoACJQAJAgCtAYbTAGBgCABuHDKV7VoCgFIcoBvF4xQEYAGcgsQQwDoMCYahBUojipGolHCACMRAjJ

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:ffffffff87878787
Perceptual Hash:bec1c336c1c3313e
Difference Hash:0c193b3b2f2f2f2f
Wavelet Hash:e7ff898383838383
Color Hash:#483a78

Scan History

Scan history not available

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