Security Scan Report: bettykatonp.pages.dev

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Submitted: Dec 31, 2025, 5:38:44 AMCompleted: Dec 31, 2025, 5:41:14 AMpubliccompleted
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Summary

This website contacted 18 IPs in 2 countries across 16 domains to perform 35 HTTP transactions. The main domain is bettykatonp.pages.dev and was registered NaN years ago.

Submitted URL: https://bettykatonp.pages.dev/fzyh-social-security-2025-cola-increase-tfnab/

AI Security Verdict

High Risk

Confidence: 95%

8
Risk Score

High‑risk phishing site impersonating Social Security; do not trust.

Risk Factors
Malicious Indicators of Compromise matches
Brand impersonation of a government agency
Unranked domain with low reputation
External link to a known malicious domain (pages.dev)
Association with a suspicious parking IP address
Domain age information unavailable

Details

Page Title

Social Security 2025 Cola Increase - Betty Kato N.P

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

The domain name 'bettykatonp.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'bettykatonp'. Its registrable label 'pages' stretches across 5 characters with two vowels and three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bettykatonp.pages.dev/fzyh-social-security-2025-cola-increase-tfnab/

Page Load Overview

80.19s
Total Load Time
44
HTTP Requests
16
Domains
1.2 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:1,916 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
78%
government public service
52%
documentation technical
41%
finance banking
40%
news media journalism
38%

Detected Features

Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.20.23.96United Kingdom
218.171.209.12City of London, England, United Kingdom
AS16509AMAZON-02
2172.66.169.241United States
AS13335CLOUDFLARENET
2199.59.243.228United States
AS16509AMAZON-02
2172.67.166.38United States
AS13335CLOUDFLARENET
2172.67.147.95United Kingdom
2162.159.137.54United States
AS13335CLOUDFLARENET
2104.21.11.140United States
AS13335CLOUDFLARENET
2188.114.97.3United States
AS13335CLOUDFLARENET
2142.250.185.246United KingdomUnknown
4418--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA133C3151E90077764FD3E9E862771DE999B701CA034B6B32FCB168AB84CFA40A761D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LzHZdapzDOSTIZkjSjT54Dq/MeYHz3JzMDkx+7m0JekDz:Lrap1TIGcT5Jg+7m0JekDz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42406:Q6jkio67UhGGSIwIAoVrgWU1AzDYw3CKBoRBRuh4ZUACBBgDg6CKQRRCMsogAEGBBAaAQ0CWqscwWjUEFqUjCJdAEQQChgKP

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:00000000ffffffff
Perceptual Hash:be49b6c13430cb9e
Difference Hash:9571711361282e2f
Wavelet Hash:00000000ffffffff
Color Hash:#1f9335

Scan History

Scan history not available

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