Security Scan Report: sebastianaboismenu.pages.dev

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Submitted: Jan 8, 2026, 5:20:11 PMCompleted: Jan 8, 2026, 5:21:42 PMpubliccompleted
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Summary

This website contacted 10 IPs in 1 country across 12 domains to perform 38 HTTP transactions. The main domain is sebastianaboismenu.pages.dev and was registered NaN years ago.

Submitted URL: https://sebastianaboismenu.pages.dev/plzcd-social-security-update-2025-date-lgkuk/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Site appears legitimate with no suspicious activity.

Safety Factors
Established domain (>5 years old)
Hosted on standard Cloudflare Pages infrastructure
No suspicious URL paths (e.g., no WordPress admin directories)
No external links to known malicious domains
Domain age information unavailable

Details

Page Title

Social Security Update 2025 Date - Sebastian A Boismenu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(49%)

Domain Information

The domain name 'sebastianaboismenu.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'sebastianaboismenu'. The core label 'pages' covers 5 characters split between 2 vowels and three consonants. Segmentation suggests one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sebastianaboismenu.pages.dev/plzcd-social-security-update-2025-date-lgkuk/

Page Load Overview

18.87s
Total Load Time
41
HTTP Requests
12
Domains
1.2 MB
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:3,095 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
49%
corporate
35%
adult content
31%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.26.5.18United States
4150.171.28.10United States
454.164.9.107Ashburn, Virginia, United States
AS14618AMAZON-AES
4173.236.141.159United States
AS26347DREAMHOST-AS
4172.67.166.38United States
AS13335CLOUDFLARENET
4172.217.18.22United StatesUnknown
4104.17.169.172United StatesUnknown
4188.114.96.3United StatesUnknown
4172.66.45.4United States
AS13335CLOUDFLARENET
4172.66.169.241United StatesUnknown
4110--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T194F2F93261AD54373A5F93DC8195732CB9ADEA30CA024B7272F972245F84DFA01BB21D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:HnrZdap6lLBBQl3fNqxKl4VzKR3KJm+EFZ0:7apOLBBQl3fNq3tKR3KU+EFe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36806:AgoAEEFEDBSCglBIohgfAOWChpQIASQEM6sUghGqUZDDQIgKYgFReBoEIgFhgSXFjeyGgEUNkYSWQQGCiFgoVgejtAI1eojK

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:ffffcf87878787df
Perceptual Hash:bec8c1371c36c738
Difference Hash:2e193e3f3f2f2f3d
Wavelet Hash:9f8f878383838787
Color Hash:#d22d61

Scan History

Scan history not available

Unable to load historical scan data