Security Scan Report: sfranklinnicholas.pages.dev

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Submitted: Mar 6, 2026, 4:47:38 AMCompleted: Mar 6, 2026, 4:50:25 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 11 domains to perform 37 HTTP transactions. The main domain is sfranklinnicholas.pages.dev and was registered NaN years ago.

Submitted URL: https://sfranklinnicholas.pages.dev/fbngt-social-security-increase-2025-update-2025-frtkc/

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Informational article about Social Security; no malicious activity detected; low risk.

Risk Factors
Subdomain on free hosting platform (pages.dev) with unknown creation date
Domain not listed in Cisco Umbrella top 1M rankings
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
Article metadata does not claim to be an official Social Security site
Domain age information unavailable

Details

Page Title

Social Security Increase 2025 Update 2025 - S Franklin Nicholas

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'sfranklinnicholas.pages.dev' is registered and includes subdomain 'sfranklinnicholas'. Count 5 characters in 'pages' split between 2 vowels and three consonants. Tokenizing the label suggests 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sfranklinnicholas.pages.dev/fbngt-social-security-increase-2025-update-2025-frtkc/

Page Load Overview

90.22s
Total Load Time
37
HTTP Requests
12
Domains
781 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-US
Text Length:3,500 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
government public service
31%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7146.75.121.54United States
3104.26.13.50British Virgin Islands
3188.114.96.3United States
AS13335Cloudflare, Inc.
3199.191.50.130British Virgin Islands
AS40034Confluence Networks Inc
3172.67.166.38United States
AS13335Cloudflare, Inc.
354.165.131.183Unknown
3150.171.27.10United States
AS8075Microsoft Corporation
3104.21.27.198United States
AS13335Cloudflare, Inc.
3104.20.23.96UnknownUnknown
3142.251.127.94UnknownUnknown
3711--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A413F86249DD1033661F67DE95A2B30DE9EBA614CF034A1633FC612C9F84EFA81A315D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:RZdapFJT9ZOdlUiWaK+B/sM5F8hl+8kTF2Jbh:RapvT9wdGiWaK+B/sJhl+8kTkJbh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42683:AwggAHxWIHBAwJFBcgGDpADoAgChCAYt+GhGJPsjXuskV/BgwAKIECeKmOMRIKAYMB1Lw7MCcQYZAgD0tVTggKAhgOKCRkoB

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:000000fffbc3c7c7
Perceptual Hash:b04f36e9c9324dcc
Difference Hash:d01c3509330b0d2f
Wavelet Hash:200001ffffc3c7c7
Color Hash:#2d863c

Scan History

Scan history not available

Unable to load historical scan data