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Security Scan Report: elizabethnicholasm.pages.dev

Submitted: Dec 29, 2025, 4:19:03 AMCompleted: Dec 29, 2025, 4:20:39 AMpubliccompleted
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Summary

This website contacted 10 IPs in 1 country across 13 domains to perform 28 HTTP transactions. The main domain is elizabethnicholasm.pages.dev and was registered NaN years ago.

Submitted URL: https://elizabethnicholasm.pages.dev/qpjmq-social-security-benefits-2025-increase-chartaal-geld-hiuov/

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Site hosts malicious content and impersonates Social Security; avoid and report.

Risk Factors
Malicious Indicator of Compromise match on primary domain pages.dev
Domain pages.dev flagged as malicious (ek clearfake)
Unranked domain in Cisco Umbrella (low reputation)
Brand impersonation (Social Security Benefits) on a non‑official domain
Potential drive‑by or malicious content on a known bad host
Domain age information unavailable

Details

Page Title

Social Security Benefits 2025 Increase Chartaal Geld - Elizabeth Nicholas M

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

You're looking at domain 'elizabethnicholasm.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'elizabethnicholasm'. The second-level label 'pages' is 5 characters long holding two vowels versus three consonants. Word splitting yields one word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://elizabethnicholasm.pages.dev/qpjmq-social-security-benefits-2025-increase-chartaal-geld-hiuov/

Page Load Overview

16.62s
Total Load Time
28
HTTP Requests
0
Domains
N/A
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:3,662 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
government public service
25%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16188.114.97.3United States
AS13335CLOUDFLARENET
2150.171.28.10UnknownUnknown
2185.233.175.140UnknownUnknown
1172.66.169.241United States
AS13335CLOUDFLARENET
1104.20.23.96UnknownUnknown
1172.67.166.38United States
AS13335CLOUDFLARENET
1108.138.26.109UnknownUnknown
1142.250.184.214UnknownUnknown
1104.26.15.73UnknownUnknown
1104.18.38.162UnknownUnknown
010--

Detected Technologies9

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv6.4.3
100%
PHP
50%
OWL Carousel
50%
MySQL
50%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A843C9A7909561366D1B97A683CD271CD939DE32CA034D6A32BE20185FC5FF913A321F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3MVM6MVM+MVMfMVMnMVMsMVMUMVMvsptI+apjXp+mX21/9mfWOpqxtDFyOe:t5/QxtDFyOe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56575:i2AMpoLDK0FJ1IjbCBI0hqICAMo2REA4MFGtCwkEARIYAEDOogMaoYiBFIQJ4VQZIIFIgMIGAIfQkAxNL1YPgkgRt1EkeEwl

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:0000ffff87c78787
Perceptual Hash:be414336b6c1c9b6
Difference Hash:8c33332f2f2f2f2f
Wavelet Hash:c600c9ff87878787
Color Hash:#e0b76c

Other Hashes

Crop Resistant:8c33332f2f2f2f2f,0101819c9c835001,344a4a599a926601

Scan History

Scan history not available

Unable to load historical scan data