Security Scan Report: gabrielreyese.pages.dev

Submitted: Dec 21, 2025, 9:33:01 PMCompleted: Dec 21, 2025, 9:38:51 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 10 domains to perform 25 HTTP transactions. The main domain is gabrielreyese.pages.dev.

Submitted URL: https://gabrielreyese.pages.dev/ybbzk-social-security-administration-2025-vjitv/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Social Security Administration 2025 - Gabriel Reyes E

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(74%)

Domain Information

Domain 'gabrielreyese.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'gabrielreyese'. The core label 'pages' covers 5 characters containing 2 vowels alongside three consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gabrielreyese.pages.dev/ybbzk-social-security-administration-2025-vjitv/

Page Load Overview

30.09s
Total Load Time
25
HTTP Requests
10
Domains
905 KB
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:2,984 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
74%
adult content
43%
blog personal website
40%
corporate
35%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3162.159.134.42United States
AS13335CLOUDFLARENET
254.231.197.233Ashburn, Virginia, United States
AS16509AMAZON-02
2104.21.79.34United States
AS13335CLOUDFLARENET
2172.66.47.127United States
AS13335CLOUDFLARENET
2209.87.158.95United States
AS36444NEXCESS-NET
2172.66.169.241United States
AS13335CLOUDFLARENET
2158.51.60.124Berkeley, California, United States
AS47002TIGERTECH
2172.66.44.129United States
AS13335CLOUDFLARENET
2172.67.166.38United States
AS13335CLOUDFLARENET
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2512--

Detected Technologies4

WordPressv6.5.3
100%
JQueryv3.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155F22B32A1DD18773A4F83EA5161332CA4BEA920DA024B7571F8B2249FD4DF602B755E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:wdsDmOMuR2s3ZdqZUaA2kWkghp/l/dwQm9YxKFRX0iaImwR9svJRnDf5S4skJLZ0:NbzZdapFHqEiaImwLsvJRnDf5StkJLZ0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34982:AGcwXO4R3emA7AyvWQojECsxKalocURIARKCiLLDlAORAZxBIyBEGDg9SECAAVKAlkSQgRsEQECqYLmAIirCCVkZHpMVQiBW

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:ffffcbff87878787
Perceptual Hash:b0cdbc3298ce3c39
Difference Hash:2214362c1c2c3c3c
Wavelet Hash:dfbf838703070707
Color Hash:#4e2dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data