Security Scan Report: vistalokalflow-dpmdyp2ylod7.edgeone.app

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Submitted: Jun 18, 2026, 3:52:38 AMCompleted: Jun 18, 2026, 3:53:46 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 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/age-of-jennifer-lawrence.html

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site shows no credential or payment collection, but unknown subdomain age and high JS obfuscation raise moderate suspicion.

Risk Factors
Unknown subdomain creation date (could be brand‑new)
Low domain ranking (455,732) for a site mentioning a public figure
High JavaScript obfuscation score (critical) without clear malicious behavior
Safety Factors
No forms collecting credentials or payment information
Content appears to be a legitimate informational article
No network IDS alerts or external IoC links detected
No JavaScript malware patterns matched by YARA
Cross‑origin requests are absent and no credential exfiltration observed
Domain age information unavailable

Details

Page Title

Age of Jennifer Lawrence: Common Misconceptions and What You Should Know

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(56%)

Domain Information

Within the application-focused generic top-level domain (.app), 'vistalokalflow-dpmdyp2ylod7.edgeone.app' is registered, featuring subdomain 'vistalokalflow-dpmdyp2ylod7'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Splitting it apart reveals 2 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://vistalokalflow-dpmdyp2ylod7.edgeone.app/age-of-jennifer-lawrence.html

Page Load Overview

1.45s
Total Load Time
15
HTTP Requests
11
Domains
131 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:4,013 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media56% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
56%
corporate
35%
news media journalism
30%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.21.0.120United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
2172.66.147.195United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
156--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E72FA27FB8002A877320546E487B6BC7E7E8127C3958CA478ACF72DCBC96D71476664

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dGShnYf8zX+45JIkS0XYv8EdnqsUFw9Yn7eorWag4MVgjY:0Shnz++KXmYXwFwenHrWag4Wl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16992:QQgIo+DAGARIAWprGYQJhc2IcKqJghl/YkpQDw8BbUAIKGVxKogCEwxFwhhvigg47skCJEAWhoMQGE3CoXEIhCLU3jIKEEqT

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:81c3ffffc3c78387
Perceptual Hash:bdc5392c396592c9
Difference Hash:162a00061b2c2f3e
Wavelet Hash:80fefed283878383
Color Hash:#bf8a40

Other Hashes

Crop Resistant:162a00061b2c2f3e

Scan History

Scan history not available

Unable to load historical scan data