ScanMalware.com

Security Scan Report: vistalokalflow-dpmdyp2ylod7.edgeone.app

Site favicon
Submitted: Jun 20, 2026, 7:13:32 AMCompleted: Jun 20, 2026, 7:14:40 AMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 1 HTTP transaction. The main domain is vistalokalflow-dpmdyp2ylod7.edgeone.app and was registered NaN years ago.

Submitted URL: https://vistalokalflow-dpmdyp2ylod7.edgeone.app/announce-contest-winners.html

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

AI Security Verdict

Moderate Risk

Confidence: 80%

4
Risk Score

The page appears to be a benign article with no malicious forms or IoCs, but unknown sub‑domain age and heavily obfuscated script warrant moderate caution.

Risk Factors
Critical JavaScript obfuscation score (high entropy, base64, unescape usage)
Sub‑domain on hosting platform with unknown age
Safety Factors
No forms collecting credentials or payment data
No external malicious links or IoC matches
No IDS/Suricata alerts
Content is an informational article (og:type=article)
Domain age information unavailable

Details

Page Title

Announcing Contest Winners: Common Mistakes to Avoid and Smarter Alternities

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(80%)

Domain Information

The domain 'vistalokalflow-dpmdyp2ylod7.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'vistalokalflow-dpmdyp2ylod7'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. Splitting it apart reveals two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vistalokalflow-dpmdyp2ylod7.edgeone.app/announce-contest-winners.html

Page Load Overview

1.50s
Total Load Time
14
HTTP Requests
11
Domains
356 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:2,879 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
80%
news media journalism
51%
corporate
35%
adult content
34%
entertainment media
33%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.178.183.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.127.234United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
293.188.2.54Sweden
AS39570Loopia AB
2172.240.108.84United States
AS7979Servers.com, Inc.
146--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
WordPress
75%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12372D8A7AB82142877720456A9D2B3BC3C5D902BD3959DD4B4ECB32CCBC56CB68B1394

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dGshnYf8zX+L7v8JvwoTBnYorWag4MVo6:0shnz+L7fo1n1rWag4WZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16012:EQAEaFCFSGkMJWBmkATBgAGNuSGACCZkYAg6FmsVscAaCqtYRTEKFg6n9rCiECAARGI5KIcADCAAKNCgCJWSmULhDiAJAgEj

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:c3ffffffffffc3c1
Perceptual Hash:f19c619c639c61d3
Difference Hash:362e000607340b0b
Wavelet Hash:009efeff838f8181
Color Hash:#ac5372

Other Hashes

Crop Resistant:362e000607340b0b,1c26170b0b1d1753

Scan History

Scan history not available

Unable to load historical scan data