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Security Scan Report: pamelamatthewo.pages.dev

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Submitted: Dec 31, 2025, 12:31:18 AMCompleted: Dec 31, 2025, 12:32:32 AMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 11 domains to perform 31 HTTP transactions. The main domain is pamelamatthewo.pages.dev and was registered NaN years ago.

Submitted URL: https://pamelamatthewo.pages.dev/bayuq-new-2025-social-security-cost-of-living-increase-2025-in-india-2026-kujgm/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk phishing site impersonating Social Security; avoid and report.

Risk Factors
Malicious external link to a known malicious domain (pages.dev)
Brand impersonation of a government agency on an unrelated domain
Unranked domain with suspicious, low‑quality content
Domain age information unavailable

Details

Page Title

Social Security Cost Of Living Increase 2025 In India - Pamela Matthew O

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(40%)

Domain Information

Domain 'pamelamatthewo.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'pamelamatthewo'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pamelamatthewo.pages.dev/bayuq-new-2025-social-security-cost-of-living-increase-2025-in-india-2026-kujgm/

Page Load Overview

6.52s
Total Load Time
35
HTTP Requests
11
Domains
1.5 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-US
Text Length:3,040 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
40%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
923.36.162.218Germany
AS15169
2104.21.11.140United States
AS13335CLOUDFLARENET
2104.19.154.92United States
AS13335CLOUDFLARENET
2172.217.18.22Germany
AS20940
2172.66.40.220Germany
AS396982
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2104.18.38.162GermanyUnknown
2172.64.149.94United States
AS13335CLOUDFLARENET
2104.26.13.221United States
AS13335CLOUDFLARENET
2172.217.23.118GermanyUnknown
3514--

Detected Technologies11

WordPressv6.7.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv6.7.1
100%
PHP
50%
OWL Carousel
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128233B3253E801B37F4F93D99562730CE9A59616CA0307A531FDA5285F84EF6467720E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Ia6eXAHZdapzTPjDg4kYkyg4kYk48ZisbkST+Z5DSBiDS4TWtNm5oJNU:IBapDKT+D+BiDSQWjmaJNU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45608:NgCIQkWIoAAwyGMQRAkj7AkoRhAwmCFiBASQjDCWRQESxcgqiW/HtRSeEISkAcNHBIwfBPwoyWFAAMWKg0AZYFIsYIgSRhgT

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:ffbf1183838383ff
Perceptual Hash:af9ad064d165661d
Difference Hash:0d71676767474755
Wavelet Hash:ff9d0103038383ff
Color Hash:#71ac53

Other Hashes

Crop Resistant:0d71676767474755,245da95aa60d73c6,99e6185e4fdb7371,d0861ce5e4c69696,586c1c1e1a197403

Scan History

Scan history not available

Unable to load historical scan data