Security Scan Report: lockhartfusionfave-z2a996r3c9.edgeone.app

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Submitted: May 22, 2026, 2:29:46 AMCompleted: May 22, 2026, 2:31:09 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 14 HTTP transactions. The main domain is lockhartfusionfave-z2a996r3c9.edgeone.app and was registered NaN years ago.

Submitted URL: https://lockhartfusionfave-z2a996r3c9.edgeone.app/13111-marcus-dobre-dating-status-now-facts-on-girlfriend-family.html

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

AI Security Verdict

High Risk

Confidence: 86%

8
Risk Score

The site shows brand impersonation (Instagram) on a low‑rank, newly created subdomain with a malicious external link, indicating high risk of phishing.

Risk Factors
Brand impersonation on low‑ranking domain
External malicious link (highperformanceformat.com)
Unknown subdomain age on hosting platform
High JS obfuscation (potentially hidden malicious code)
Low Cisco Umbrella ranking (#455,732)
Domain age information unavailable

Details

Page Title

Marcus Dobre Dating Status Now, Facts On Girlfriend & Family

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(37%)

Domain Information

The domain name 'lockhartfusionfave-z2a996r3c9.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'lockhartfusionfave-z2a996r3c9'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Tokenizing the label suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lockhartfusionfave-z2a996r3c9.edgeone.app/13111-marcus-dobre-dating-status-now-facts-on-girlfriend-family.html

Page Load Overview

11.57s
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:4,070 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
37%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.240.127.234United States
AS7979Servers.com, Inc.
2142.251.127.95United States
AS15169Google LLC
2192.178.183.94United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.253.132United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.18.10.207United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
199--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC621A73F580113C6F2342AAA4C7F3BCBE299027E783C9B475D9A3751B876DB4866640

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqM9lhnYf8zX+eF9ZMKiF8Z5PF+fFCjZyZQJ/chsTzEZdgBm4HcVHemaY5mag+:bQ9lhnz+m9ZMKa8Z5d+NmZyZQJUhsTzE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15479:xAWAApQyDJspT4iAEkHCAAGYfCCgOB0aNCGNUWQBUyozEAwiaOYteQOgKQ15gkZBgNAdSTIIwsmLABUoYQkmep5AQCSChEIC

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:b438cb2a6f4b294b
Difference Hash:0f161e1e1e161002
Wavelet Hash:81c3c2c2c2c2fefe
Color Hash:#e0736c

Other Hashes

Crop Resistant:0f161e1e1e161002

Scan History

Scan history not available

Unable to load historical scan data