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Security Scan Report: russofoodssitus-wnft4rgo21.edgeone.app

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Submitted: May 24, 2026, 9:14:17 AMCompleted: May 24, 2026, 9:16:21 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 11 HTTP transactions. The main domain is russofoodssitus-wnft4rgo21.edgeone.app and was registered NaN years ago.

Submitted URL: https://russofoodssitus-wnft4rgo21.edgeone.app/1159-jabari-greer-biography-age-height-wife-net-worth-family.html

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

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

The site appears low‑risk: no forms, no IoCs, but unknown subdomain age and high JS obfuscation suggest mild caution.

Risk Factors
Unknown subdomain age (could be brand‑new)
Low domain ranking (unranked)
High JavaScript obfuscation score (though not malicious)
Safety Factors
Page type is article (og:type=article) – content‑only
No forms or credential collection
No credential exfiltration observed
No network IDS alerts
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Jabari Greer Biography, Age, Height, Wife, Net Worth, Family

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'russofoodssitus-wnft4rgo21.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'russofoodssitus-wnft4rgo21'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. Breaking it apart gives two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://russofoodssitus-wnft4rgo21.edgeone.app/1159-jabari-greer-biography-age-height-wife-net-worth-family.html

Page Load Overview

51.33s
Total Load Time
17
HTTP Requests
13
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:4,108 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.20.8.223United States
AS13335Cloudflare, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2172.240.127.242United States
AS7979Servers.com, Inc.
2142.251.110.94United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
178--

Detected Technologies4

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F62FA37FA41322CBB1246DBB5C1B37CB91DC41AD392C8E8F588972C6BC26CB9975185

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqM7hnYf8zX+laJcy8ibS0GNb7YrOzYTdag4lDd:bQ7hnz+laJcyBS0Yb7YrUYTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15106:AMWUzAaRI5fMhCFkAIEQqDikQGYoRRlWA2DAiEAKFLJHewAIJCNBkAEhGQkotQBBatAOc5tGcAAKKZFFIicsmg9DjAEBIlIx

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:81c7c3c3c3c3ffff
Perceptual Hash:b438cb3a4b4b694b
Difference Hash:0f1e1616161e1e40
Wavelet Hash:00c3c3c3c2c2cfff
Color Hash:#6cd4e0

Other Hashes

Crop Resistant:0f1e1616161e1e40

Scan History

Scan history not available

Unable to load historical scan data