Security Scan Report: jaxsonocunha.pages.dev

Submitted: Jan 22, 2026, 10:36:39 AMCompleted: Jan 22, 2026, 10:38:08 AMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 17 domains to perform 43 HTTP transactions. The main domain is jaxsonocunha.pages.dev and was registered NaN years ago.

Submitted URL: https://jaxsonocunha.pages.dev/omeh-social-security-stimulus-payment-2025-images-kvdbshy/

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Informational content about Social Security stimulus; low risk.

Risk Factors
Unranked in Cisco Umbrella while mentioning a government brand
Safety Factors
Established domain age reduces phishing likelihood
Absence of forms collecting sensitive data
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Social Security Stimulus Payment 2025 - Jaxson O. Cunha

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(35%)

Domain Information

Domain 'jaxsonocunha.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'jaxsonocunha'. The second-level label 'pages' is 5 characters long holding 2 vowels versus 3 consonants. Breaking it apart gives one word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jaxsonocunha.pages.dev/omeh-social-security-stimulus-payment-2025-images-kvdbshy/

Page Load Overview

21.29s
Total Load Time
45
HTTP Requests
18
Domains
2.2 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:4,268 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
35%
corporate
35%
news/blog
30%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.217.23.118Germany
3172.217.18.3United States
AS15169GOOGLE
32.23.244.221Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
392.113.23.184Germany
3104.21.11.140Germany
3188.114.97.3United States
AS13335CLOUDFLARENET
367.227.189.78United States
AS32244LIQUIDWEB
313.226.247.222Germany
3172.217.20.138United States
AS15169GOOGLE
323.36.162.218GermanyUnknown
4515--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E03E77260AC0A336A5E53DCF162B31DDBA9E514C7029B7636F82148DF84EF641B718D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:S2ZdapNoT+Z9+bUzmxExhOntQBDx4Jxg0NAt3:SmapiT++bUzm8hOtODx4Jxg0NAt3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39401:EEyEAgIiPGyCWUBmCUoi2C8QAOiAYBIJ3CJQAukypogkUgAwAgK4aCmGUaNRIDI+AABxQXSYGKGYCQQATIrRBLKDyJaQRLgl

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:ff00ffc3c3c3c3c3
Perceptual Hash:ad92cba4b9cb9344
Difference Hash:08c3f13727272333
Wavelet Hash:ff00ffc3c3838183
Color Hash:#da6ce0

Scan History

Scan history not available

Unable to load historical scan data