Security Scan Report: kobyevana.pages.dev

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Submitted: Jan 1, 2026, 6:48:57 PMCompleted: Jan 1, 2026, 6:50:07 PMpubliccompleted

This website contacted 19 IPs in 2 countries across 13 domains to perform 40 HTTP transactions. The main domain is kobyevana.pages.dev and was registered 6 years ago.

Submitted URL: https://kobyevana.pages.dev/oglnq-social-security-stimulus-checks-2025-update-tklsz/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site is high‑risk phishing, impersonating Social Security stimulus checks.

Risk Factors (4)
Malicious Indicator matches for pages.dev
Social Security brand impersonation on an unrelated domain
Unranked domain with low reputation
Financial scam content promising stimulus checks
Domain age information unavailable

Details

Page Title

Social Security Stimulus Checks 2025 Update - Koby Evan A

Scan Type

public

Domain Name Analysis

The domain name 'kobyevana.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'kobyevana'. The second-level label 'pages' is 5 characters long split between two vowels and 3 consonants. Segmentation suggests 1 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://kobyevana.pages.dev/oglnq-social-security-stimulus-checks-2025-update-tklsz/

Page Load Overview

2.56s
Total Load Time
2.4 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:5,036 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
70%
corporate
70%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
413.226.247.54United States
AS15169GOOGLE
2172.67.166.38United States
AS13335CLOUDFLARENET
2108.138.7.24United States
AS2635AUTOMATTIC
2216.58.206.86United States
AS20940Akamai International B.V.
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
213.226.247.174United States
AS398101GO-DADDY-COM-LLC
2108.138.7.50United States
AS13335CLOUDFLARENET
2142.251.141.118United States
AS16509AMAZON-02
2104.18.22.177United StatesUnknown
223.36.162.153United StatesUnknown
4019--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D53B6A7509511376E1F57EA92CC261CD9759E21CB030EAE76AD20089FC1FF9139722F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3MVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIvapKT4WVmRaoKWrU7qFoFQbv0p6HBb7:WgTF6FhTeJJvVmB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62517:PwCJAihjDGGDMHc5OBRCA+IQMAAUBFzWFjhvkMlQHDFY2AKGEogAQHgkgbQkAAxLCA6jREmgDG4gFgVQQhjKTWPscmHsgDPE

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:000000ffffcfcfcf
Perceptual Hash:b84732b9c7989936
Difference Hash:270029331b1b1f0f
Wavelet Hash:000000ffffcf8fc7
Color Hash:#6c92e0

Scan History

Scan history not available

Unable to load historical scan data