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Security Scan Report: federicojosef.pages.dev

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Submitted: Jan 3, 2026, 5:02:56 PMCompleted: Jan 3, 2026, 5:04:07 PMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 13 domains to perform 29 HTTP transactions. The main domain is federicojosef.pages.dev and was registered NaN years ago.

Submitted URL: https://federicojosef.pages.dev/fdrcoguz-social-security-payments-2025-calendar-pdf-jsfkfdz/

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

High‑risk phishing site impersonating SSA; do not trust or provide any information.

Risk Factors
Malicious Indicators of Compromise match on primary domain pages.dev
Brand impersonation of the Social Security Administration on an unrelated domain
Unranked domain (not in Cisco Umbrella top 1 M) used for government‑related content
Domain age information unavailable

Details

Page Title

Social Security Payments 2025 Calendar Pdf - Federico Josef

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'federicojosef.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'federicojosef'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus three consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://federicojosef.pages.dev/fdrcoguz-social-security-payments-2025-calendar-pdf-jsfkfdz/

Page Load Overview

5.38s
Total Load Time
33
HTTP Requests
13
Domains
1.4 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:3,022 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.20.23.96United States
AS13335CLOUDFLARENET
2172.66.47.65United States
AS13335CLOUDFLARENET
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2142.250.185.161United States
AS15169GOOGLE
2188.114.97.3United States
AS13335CLOUDFLARENET
2172.66.43.121United States
AS13335CLOUDFLARENET
246.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
2172.66.169.241United States
AS13335CLOUDFLARENET
2209.59.168.98United States
AS32244LIQUIDWEB
2142.250.185.97United States
AS15169GOOGLE
3314--

Detected Technologies12

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv6.4.3
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

T17A030732A2A910373A5F83F9C5917318BD689615C6034FA63AFC72A85FC4DF705A724E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:w2RUZdapNXGCg4kYkxtSg4kYkKIXXcTB13cqH373WZQY2:1+apRTgXcTB13jL3WGY2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41256:EHQTCIMIWAIDCBARAIKL20gnDwFE+EkIowBCoxCoQoyhAR7I/sAAFAswWFRHGABmYBBdGLAIhhDKIgAEgTAABloQIkAEFy+B

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:9f81dbfbc3838787
Perceptual Hash:bcc11e36c19ce33c
Difference Hash:342b3b332f0f2b2b
Wavelet Hash:9e00dbfbc3878383
Color Hash:#93ac53

Other Hashes

Crop Resistant:342b3b332f0f2b2b

Scan History

Scan history not available

Unable to load historical scan data