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Security Scan Report: leemjohnsond.pages.dev

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Submitted: Nov 16, 2025, 3:45:07 PMCompleted: Nov 16, 2025, 3:45:37 PMpubliccompleted
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Summary

This website contacted 71 IPs in 3 countries across 15 domains to perform 35 HTTP transactions. The main domain is leemjohnsond.pages.dev.

Submitted URL: https://leemjohnsond.pages.dev/mybvn-social-security-benefits-2025-increase-in-ynokw/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low‑risk informational page; no immediate security threat detected.

Risk Factors
New or unknown domain age
Unranked domain (low reputation)
Content references a well‑known government program (Social Security) on a non‑official domain
Safety Factors
No password or payment fields in any forms
No malicious Indicators of Compromise detected
No credential‑harvesting or payment‑collection mechanisms
Domain age information unavailable

Details

Page Title

Social Security Benefits 2025 Increase In - Lee M Johnson

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(48%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'leemjohnsond.pages.dev' is registered and includes subdomain 'leemjohnsond'. The registrable portion 'pages' spans 5 characters holding two vowels versus three consonants. Splitting it apart reveals 1 word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://leemjohnsond.pages.dev/mybvn-social-security-benefits-2025-increase-in-ynokw/

Page Load Overview

15.11s
Total Load Time
35
HTTP Requests
15
Domains
561 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:3,055 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
48%
healthcare medical
39%
corporate
35%
news media journalism
31%
adult content
29%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0172.67.74.63United States
AS13335CLOUDFLARENET
0172.66.153.127United States
AS13335CLOUDFLARENET
03.160.150.30United States
AS16509AMAZON-02
0172.66.136.209United States
AS13335CLOUDFLARENET
075.2.18.233United States
AS16509AMAZON-02
0172.66.47.41United States
AS13335CLOUDFLARENET
0104.21.18.46United States
AS13335CLOUDFLARENET
0172.67.75.176United States
AS13335CLOUDFLARENET
0192.0.66.204San Francisco, California, United States
AS2635AUTOMATTIC
3571--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184F2E83251ED14777A0F83EE45A57318A8E9E634DA038F7271F6B1685B84DFA017720E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:4OrZdap6s8BBI4phvqxeFUi+Or8Hw29eEsZXX:xap58BBI4phvqxeKi+Or8Q29eEsVX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36349:oawAxkow8uxkQEHIA4aALwFIwQhG1hoAQR4ESCoMUARIQD6CIBSDDBAAMCcwBtREFgGoFJwJLkJZAYiBIPGfBQCAoQGQS1oi

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:ffffffff87878787
Perceptual Hash:b6c93636c9cd321c
Difference Hash:0c093f222f0f0f0d
Wavelet Hash:e7ef838383838387
Color Hash:#e0946c

Other Hashes

Crop Resistant:0c093f222f0f0f0d,a28282828286a292,b696b6b69696b6b2,30cfc9c8ecc8eac8

Scan History

Scan history not available

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