ScanMalware.com

Security Scan Report: ashlieygwendolen.pages.dev

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/e836e2f9-891f-4cb8-9d62-ba7ba6f7b322Domain and IP registration (RDAP)/api/v1/rdap/e836e2f9-891f-4cb8-9d62-ba7ba6f7b322How often this domain was scanned/api/v1/domain/stats/ashlieygwendolen.pages.devScan history for this domain/api/v1/domain/history/ashlieygwendolen.pages.dev?limit=15
This website contacted 17 IPs in 1 country across 13 domains to perform 41 HTTP transactions. The main domain is pages.dev and was registered 6 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 (5)
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

Domain Name Analysis

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

Vanna Janne Powe) Social Security Payment Schedule 2024 June 23 ‘sti Ford Mustang Gtd 2624 Preis (State university: sAst Wal 2024 5 31'2024 Honda Suv Exterior: Price’ PIshitek The Musi¢al2024 o...

Page Load Overview

1.53s
Total Load Time
2.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

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

WordPressv6.6.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv6.6.1
100%
PHP
50%
OWL Carousel
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Statcounter
20%

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:N/A

Other Hashes

Crop Resistant:275f37276627171f,012181a5a5812181,a14b162c5be7ed59,3c9d8f8ccfa34b1a,148a4963595d5d19

Scan History

Scan history not available

Unable to load historical scan data