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Security Scan Report: caitlynmonicaa.pages.dev

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Submitted: Jan 4, 2026, 8:11:37 PMCompleted: Jan 4, 2026, 8:13:24 PMpubliccompleted
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Summary

This website contacted 14 IPs in 1 country across 14 domains to perform 32 HTTP transactions. The main domain is caitlynmonicaa.pages.dev and was registered NaN years ago.

Submitted URL: https://caitlynmonicaa.pages.dev/uwfqv-social-security-increases-by-year-2025-jawwo

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

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

Risk Factors
Known malicious primary domain (pages.dev) matches Indicators of Compromise
Brand impersonation of a government agency on an untrusted domain
Unranked domain with low reputation increases suspicion
Domain age information unavailable

Details

Page Title

Social Security Increases By Year 2025 - Caitlyn Monica A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'caitlynmonicaa.pages.dev' is registered; it also runs on subdomain 'caitlynmonicaa'. The core label 'pages' covers 5 characters with two vowels and three consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://caitlynmonicaa.pages.dev/uwfqv-social-security-increases-by-year-2025-jawwo

Page Load Overview

36.56s
Total Load Time
38
HTTP Requests
14
Domains
1.0 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:2,740 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
government public service
27%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.174.98.35United States
AS15169
2188.114.97.3United States
AS13335CLOUDFLARENET
2104.26.14.73United States
AS13335CLOUDFLARENET
2172.66.169.241United States
AS13335CLOUDFLARENET
2108.138.26.80United StatesUnknown
2104.21.11.140United States
AS13335CLOUDFLARENET
2108.138.26.35United StatesUnknown
2142.251.141.118United StatesUnknown
2172.217.18.22United StatesUnknown
2104.20.23.96United StatesUnknown
3814--

Detected Technologies11

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv4.5.0
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15FF20A3251E900367A6F83DD9A913318F8E9E621CA038BB231F971649FD9CF641B761D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:l0OONuXsC3ZdqZUaAekWVgh//l/WBgiVfDbC+ThbO55QjM8LqxdN8+iCJLEUSkZM:acjZdapNiCM4qxdeIxEUSkZM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36449:I2QAwwSVIVAJiASYQDvTBjhGAAAAfwDZkvQ7XZMmAGhQQiSA2RgBoC2gEykHABKwg9BgWiQiDQjoEJZJKlMkABApMIF8pAXg

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:00000000ffffffef
Perceptual Hash:bf48b7c82639c0b3
Difference Hash:b179692329004e4f
Wavelet Hash:00000000ffffffff
Color Hash:#53ac66

Other Hashes

Crop Resistant:b179692329004e4f,b1f93b69613b7373,17071e3d3d7df4d6,1333337303130303

Scan History

Scan history not available

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