Security Scan Report: mailsysmailfavefave-2p2y552xb5.edgeone.app

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Submitted: May 22, 2026, 4:47:30 AMCompleted: May 22, 2026, 4:49:04 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 13 HTTP transactions. The main domain is mailsysmailfavefave-2p2y552xb5.edgeone.app and was registered NaN years ago.

Submitted URL: https://mailsysmailfavefave-2p2y552xb5.edgeone.app/12032-pastor-kanyari-discloses-he-pays-ksh-300k-for-sons-school-fees-betty-huniomba.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site hosts a subdomain on edgeone.app linking to a known malicious domain and uses heavily obfuscated JavaScript, indicating a high risk of malware distribution.

Risk Factors
External link to known malicious domain
Unknown subdomain age on a hosting platform
Low domain reputation ranking
Heavily obfuscated JavaScript code
Domain age information unavailable

Details

Page Title

Pastor Kanyari Discloses He Pays KSh 300k for Son's School Fees: "Betty Huniomba"

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(70%)

Domain Information

Within the application-focused generic top-level domain (.app), 'mailsysmailfavefave-2p2y552xb5.edgeone.app' is registered with subdomain 'mailsysmailfavefave-2p2y552xb5'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Segmentation suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mailsysmailfavefave-2p2y552xb5.edgeone.app/12032-pastor-kanyari-discloses-he-pays-ksh-300k-for-sons-school-fees-betty-huniomba.html

Page Load Overview

22.70s
Total Load Time
19
HTTP Requests
14
Domains
31 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:3,847 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
70%
news media journalism
63%
social media network
62%
entertainment media
55%
adult content
47%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3192.178.183.95United States
AS15169Google LLC
2172.240.127.234United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
2104.18.11.207United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2142.251.13.94United States
AS15169Google LLC
199--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD622B37F6C0123CAA724680B4C5B77C752AD426E7918AF8B4ADB7384BC66C78937744

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMuhnYf8zX+AcEt9eJ/cDtB1Kz9cUDaY5mag4gDw:bQuhnz+AcEt9eJUDtBM9jGY5mag48w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15428:mgOQAxKUgNMIFCyrw0gsQRKGyGQDEAoeCGwgAUBhUHQHE4iQKAeQGEkhgcoI4GAAB0AAyxsAuDAHIAckMAEnGGhIAoWBXoIs

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:00c7c3c3c3c3ffff
Perceptual Hash:b438cb2a6343674f
Difference Hash:173e161e161e1002
Wavelet Hash:00c3c3c3c2c2fefe
Color Hash:#785a3a

Other Hashes

Crop Resistant:173e161e161e1002

Scan History

Scan history not available

Unable to load historical scan data