Security Scan Report: russofoodssitus-wnft4rgo21.edgeone.app

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Submitted: May 24, 2026, 9:29:28 AMCompleted: May 24, 2026, 9:31:15 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/2382-deere-announces-layoffs-at-harvester-works-east-moline.html

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Moderate risk – likely a news article, but unknown subdomain age and low ranking warrant caution.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation (potentially suspicious code style)
Safety Factors
No credential or payment forms present
Page type is article/news, indicating informational content
No Indicators of Compromise found in threat intelligence
No network IDS alerts or malicious external links
Domain age information unavailable

Details

Page Title

Deere announces layoffs at Harvester Works, East Moline

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(42%)

Domain Information

You're looking at domain 'russofoodssitus-wnft4rgo21.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'russofoodssitus-wnft4rgo21'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://russofoodssitus-wnft4rgo21.edgeone.app/2382-deere-announces-layoffs-at-harvester-works-east-moline.html

Page Load Overview

36.00s
Total Load Time
17
HTTP Requests
13
Domains
30 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:1,300 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
42%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.13.94United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.18.11.207United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
178--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15742C863BD82143C7B125295A5C1F67CFD6DD817D386C8E8B8A9A7398BC36CF64B4108

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Pzi69NgZqMf3VomvPYf85ZEQV+oNlnGIQMYlUJD4DnbAxglR9GZQzYTdag4oGCvO:brgqMfhnYf8zX+qbJOyaRCQzYTdag4lp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12255:MASCIKAwCJpMRyoRx8hjSUiFwKoBYggWqMAxCUAmMmgnHBAhKARsGgKgEQSpwOIYkwMAxbgBGmCAABMgZRA8mC5UIoygRFIA

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:00c7c3ffffffffff
Perceptual Hash:b4302acbcb4b696d
Difference Hash:0d1e163800000000
Wavelet Hash:008282cefefefe80
Color Hash:#4084bf

Other Hashes

Crop Resistant:0d1e163800000000

Scan History

Scan history not available

Unable to load historical scan data