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Security Scan Report: ignaciowilhelm.pages.dev

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/7229fcdf-fa53-4c0c-b935-2c98c84ef46eDomain and IP registration (RDAP)/api/v1/rdap/7229fcdf-fa53-4c0c-b935-2c98c84ef46eHow often this domain was scanned/api/v1/domain/stats/ignaciowilhelm.pages.devScan history for this domain/api/v1/domain/history/ignaciowilhelm.pages.dev?limit=15
This website contacted 14 IPs in 1 country across 15 domains to perform 49 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://ignaciowilhelm.pages.dev/gncwbxm-social-security-2025-calendar-india-wlhlmhqw/

AI Security Verdict

High Risk

Confidence: 95%

7
Risk Score

Site is high‑risk due to malicious primary domain and deceptive government‑service impersonation.

Risk Factors (3)
Malicious primary domain (pages.dev) Indicator of Compromise match
Unranked/low‑reputation domain hosting potentially deceptive content
Possible brand impersonation of a government service (Social Security) on a personal subdomain
Domain age information unavailable

Details

Page Title

Social Security 2025 Calendar India - Ignacio Wilhelm

Scan Type

public

Domain Name Analysis

Domain 'ignaciowilhelm.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'ignaciowilhelm'. The second-level label 'pages' is 5 characters long split between 2 vowels and three consonants. It segments into one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Oct 25, 2025 Ignacio Wilhelm Think Freely, Grow Infinitely Ignacio Wilhelm. HOME ABOUT CONTACT DISCLAIMER DMCA PRIVACY POLICY TERMS AND CONDITIONS Social Security 2025 Calendar India Social Securi...

Page Load Overview

2.36s
Total Load Time
3.4 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:2,991 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network72% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
72%
government public service
68%
corporate
35%
healthcare medical
29%
adult content
26%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10188.114.96.3United States
AS13335CLOUDFLARENET
3104.20.23.96United States
AS13335CLOUDFLARENET
3108.167.156.41Ashburn, Virginia, United States
AS31898ORACLE-BMC-31898
3172.66.169.241United States
AS13335CLOUDFLARENET
3142.250.185.99United States
AS15169GOOGLE
3150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3192.185.5.168United States
AS19871NETWORK-SOLUTIONS-HOSTING
3142.250.185.97United States
AS15169GOOGLE
3192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
3104.16.151.108United StatesUnknown
4914--

Detected Technologies11

WordPressv6.3.2
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.0
100%
Bootstrapv0.8
100%
PHP
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

T19593F8A1D1D131262767835CF6C4B985BF9EB354D5410FE0B1BD870E0FD8A89A6A370B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6kapqdo7N+N4Qibc+7d3K8Wjc+7d3K8Wl8uhWJ1BM6E8WvSAc8B2rZ7U9zbnDEB6:kzHzYyXrm2g00DyBp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90825:IpVkQBQUIhXpLJRIjYgy0CpBJQXsBxxAIEAQ7wh0bbnBgGogIzBB8MgJBTSmAK3xzhAiItMjsEQM0IAiAEQhQh0osQoBZ4AV

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:ffffff9f87838387
Perceptual Hash:bccbc466c838c367
Difference Hash:20241d3b2e0f2f3f
Wavelet Hash:9f9f8f8583838383
Color Hash:N/A

Other Hashes

Crop Resistant:20241d3b2e0f2f3f,29ea9a3173710d63,12765544dcd82361

Scan History

Scan history not available

Unable to load historical scan data