Security Scan Report: christinampaynem.pages.dev

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Submitted: Jan 10, 2026, 3:48:52 AMCompleted: Jan 10, 2026, 3:50:46 AMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 16 domains to perform 58 HTTP transactions. The main domain is christinampaynem.pages.dev and was registered NaN years ago.

Submitted URL: https://christinampaynem.pages.dev/ahlvl-social-security-2025-cola-increase-update-in-india-dhsha/

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Site mimics Social Security on an unranked personal domain; high risk of phishing.

Risk Factors
Brand impersonation of Social Security on a non‑official domain
Unranked domain with generic hosting (pages.dev)
Potential misinformation about government benefits
Domain age information unavailable

Details

Page Title

Social Security 2025 Cola Increase Update In India - Christina M Payne

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(57%)

Domain Information

Domain 'christinampaynem.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'christinampaynem'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus 3 consonants. Segmentation suggests one word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://christinampaynem.pages.dev/ahlvl-social-security-2025-cola-increase-update-in-india-dhsha/

Page Load Overview

40.85s
Total Load Time
50
HTTP Requests
16
Domains
1.1 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:4,727 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
57%
adult content
33%
healthcare medical
25%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1118.171.209.12City of London, England, United Kingdom
AS16509AMAZON-02
3172.66.44.179United States
AS13335CLOUDFLARENET
3188.114.96.3United Kingdom
3104.26.1.31Unknown
3172.67.75.107Unknown
392.113.16.30Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
3172.66.169.241UnknownUnknown
3142.250.185.138UnknownUnknown
3172.67.180.98United States
AS13335CLOUDFLARENET
3104.18.38.162UnknownUnknown
5014--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13633393192DC0473691B83DAA4A1B30CFAE6E735CB034B6A39FC61587BC5CB9416728D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GsapzT+Jfiyo9kBGbHHQFslQRkCiICXGDhB4H4ER1cmJm:GrpTEfiyoVnSnem

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:51985:gIQcQ1AisAIEZILQQloVAEMG4USiLICBMEKwQmJwCGQAQGlhkKdTGAieIoysEGKAUw6zJBioKAIDOYaAQsBDCAQEhIG0qIGE

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:00000000ffffff87
Perceptual Hash:ba41b6cdb418d3d2
Difference Hash:b169d9d1652b2f2f
Wavelet Hash:61000000ffffffc7
Color Hash:#7bd279

Scan History

Scan history not available

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