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Security Scan Report: juanmullinsalpgmi.pages.dev

Submitted: Apr 2, 2026, 8:11:32 PMCompleted: Apr 2, 2026, 8:12:40 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 1 HTTP transaction. The main domain is juanmullinsalpgmi.pages.dev and was registered NaN years ago.

Submitted URL: https://juanmullinsalpgmi.pages.dev/social-security-number-application-form

AI Security Verdict

Safe Website

Confidence: 90%

1
Risk Score

Informational page about SS‑5 form; no phishing or malware indicators detected.

Safety Factors
No password, email, or payment fields present
No malicious JavaScript YARA patterns detected
Content appears to be purely informational and does not claim official affiliation
External domains are well‑known analytics and advertising services
Domain age information unavailable

Details

Page Title

Social Security Number Application Form Photography & Overview - Juan Mullins

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(52%)

Domain Information

Domain 'juanmullinsalpgmi.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'juanmullinsalpgmi'. The registrable portion 'pages' spans 5 characters holding two vowels versus 3 consonants. Tokenizing the label suggests one word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://juanmullinsalpgmi.pages.dev/social-security-number-application-form

Page Load Overview

0.63s
Total Load Time
22
HTTP Requests
9
Domains
372 KB
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
Text Length:14,929 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
52%
healthcare medical
42%
corporate
35%
news/blog
30%
documentation technical
30%

Detected Features

Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
3142.250.201.66United States
AS15169Google LLC
3172.67.69.226United States
AS13335Cloudflare, Inc.
3172.66.44.165United States
AS13335Cloudflare, Inc.
323.50.131.138Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3104.20.23.96United States
AS13335Cloudflare, Inc.
226--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D53D863D20801B7069B43B5B3B2E38D723A8209C95246E9BB7D5196D7C9FFE507638C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vsSFYlFgfmjCobf5bcr69BcADEpv8Pfn/Tt9+/bN2unL23RdqRzQWX5M2W88bTF/:TYbgfmjRbJfn/TtU/b6x9/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64602:KUUEoAQHsAuSihaAOoQJCRhgAcxgACifDAGta4UAJAIKscKWKaAwZBFPAkJLGQHAERYKkCQEU1KLDEAIBGgEBgUFAXUqlxIk

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:007f3d0119303121
Perceptual Hash:aa55aa552b6955aa
Difference Hash:87f9e94561616161
Wavelet Hash:01ff3d213d393931
Color Hash:#936f1f

Other Hashes

Crop Resistant:cbc0c0c0c0c0c8c7,9e1d06062e040b8a,c7f9e94761606161

Scan History

Scan history not available

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