Security Scan Report: ashlieygwendolen.pages.dev

Submitted: Jan 1, 2026, 1:01:08 AMCompleted: Jan 1, 2026, 1:05:47 AMpubliccompleted
Loading additional data...

Summary

This website contacted 17 IPs in 1 country across 13 domains to perform 41 HTTP transactions. The main domain is ashlieygwendolen.pages.dev and was registered NaN years ago.

Submitted URL: https://ashlieygwendolen.pages.dev/tjbibzr-social-security-payment-schedule-2024-june-23-images-mjknrmi/

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Confirmed phishing scam using Social Security branding; avoid interaction.

Risk Factors
Multiple primary domain Indicators of Compromise matches
Malicious domain pages.dev associated with ek clearfake
Brand impersonation of Social Security on a suspicious subdomain
Unranked domain with low reputation
No legitimate content; page appears to be a scam lure
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2024 June 23 - Vanna Jannelle

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(61%)

Domain Information

The domain 'ashlieygwendolen.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'ashlieygwendolen'. The core label 'pages' covers 5 characters containing 2 vowels alongside three consonants. Splitting it apart reveals one word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ashlieygwendolen.pages.dev/tjbibzr-social-security-payment-schedule-2024-june-23-images-mjknrmi/

Page Load Overview

1.53s
Total Load Time
41
HTTP Requests
13
Domains
1.5 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:3,164 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service61% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
61%
healthcare medical
54%
adult content
35%
finance banking
32%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24172.66.44.251United States
AS13335CLOUDFLARENET
9172.66.47.5United States
AS13335CLOUDFLARENET
2172.240.108.84United States
AS7979SERVERS-COM
2172.66.169.241United States
AS13335CLOUDFLARENET
2172.66.40.135United StatesUnknown
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2104.26.5.18United StatesUnknown
2172.240.253.132United States
AS7979SERVERS-COM
2192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
2104.20.23.96United StatesUnknown
4117--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193232B23D1AC14377A4EA7E8D462B71DAE94D211C7039B6976FC6248BF80EF6417321E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ixZdapzf7JobpBQPK8ZjGNUxdST+ZOfS/O7qS7WgcKzz+e1JuI:EapGJT+46/YqS7KKH+e1JuI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48251:AEUjDxGSIJhsGN0wICEwKzRNgQFABiKKodaAPCIAOUiuxuSIoSCJ0ATROQTUAEJAHiOMpMWiBECIExxyAAEg2TAywURCd15g

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:00ffff83878383c7
Perceptual Hash:be4b512f577c5840
Difference Hash:275f37276627171f
Wavelet Hash:00ffdf83838383c7
Color Hash:#bf40b3

Scan History

Scan history not available

Unable to load historical scan data