Security Scan Report: elizabethnicholasm.pages.dev

Site favicon
Submitted: Jan 5, 2026, 11:19:50 AMCompleted: Jan 5, 2026, 11:34:33 AMpubliccompleted

This website contacted 16 IPs in 2 countries across 0 domains to perform 0 HTTP transactions. The main domain is elizabethnicholasm.pages.dev and was registered 6 years ago.

Submitted URL: https://elizabethnicholasm.pages.dev/qpjmq-social-security-fairness-act-2025-hiuov/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The page shows its own brand, contains no forms or malicious indicators, and is therefore low risk.

Safety Factors (3)
Self‑branding (site represents its own name)
Absence of forms or data collection
No malicious external resources
Domain age information unavailable

Details

Page Title

Social Security Fairness Act 2025 - Elizabeth Nicholas Msecondary capture

Scan Type

public

Domain Name Analysis

Domain 'elizabethnicholasm.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'elizabethnicholasm'. The registrable portion 'pages' spans 5 characters with 2 vowels and 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://elizabethnicholasm.pages.dev/qpjmq-social-security-fairness-act-2025-hiuov/

Page Load Overview

N/A
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:4,241 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
government public service
34%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
0157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
0142.250.185.161Google · CDNUnited States
AS15169Google LLC
0138.197.83.41Clifton, New Jersey, United States
AS14061DigitalOcean, LLC
016.15.189.13Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
018.66.112.88Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0104.21.11.140Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.20.23.96Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0151.101.130.159Fastly · CDNUnited States
AS54113Fastly, Inc.
016--

Detected Technologies5

WordPressv6.4.3
100%
JQueryv3.7.1
100%
Bootstrapv6.4.3
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12343D9A6509521366D1B979693CC271CA938DE32CA034E7A72BE21195FC1FF913D322F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3MVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIAapjXR2EmXBDxrVu57Qa3nnExtDFyOe:T5k3YExtDFyOe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57035:4DBggANZJIUEUAhcS43EYlCOwQkQVAlqYAOuRiaEBAfYr0IOQRcAIkSAhCJWySTBBAAlaOEQSEJjgACEIwBKaHJQkLMascGC

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:e600ffffc7878787
Perceptual Hash:bec13e2690cfb1b0
Difference Hash:8c3333330f0f2f3f
Wavelet Hash:8000d9ff87878787
Color Hash:#ac535a

Scan History

Scan history not available

Unable to load historical scan data