Security Scan Report: lp-optimization-guidelines-t6k4y2pbxj.edgeone.app

Submitted: Mar 27, 2026, 12:14:36 AMCompleted: Mar 27, 2026, 12:15:58 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is lp-optimization-guidelines-t6k4y2pbxj.edgeone.app and was registered NaN years ago.

Submitted URL: https://lp-optimization-guidelines-t6k4y2pbxj.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; the site appears benign.

Safety Factors
Absence of credential or payment collection fields
No suspicious JavaScript behavior or exfiltration
Hosted on a known development platform (edgeone.app)
No redirects or cross‑origin credential submissions
Page title and OCR text show no brand impersonation
Domain age information unavailable

Details

Page Title

Country Landing Page — Semantic Optimization Briefs

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(78%)

Domain Information

Domain 'lp-optimization-guidelines-t6k4y2pbxj.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'lp-optimization-guidelines-t6k4y2pbxj'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Word splitting yields 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://lp-optimization-guidelines-t6k4y2pbxj.edgeone.app/

Page Load Overview

0.70s
Total Load Time
2
HTTP Requests
1
Domains
13 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
Text Length:19,661 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical78% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
78%
e-commerce shopping
72%
government public service
71%
gambling betting
69%
corporate business
63%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13F43DB60A1F5503284E289C33A760F6B6A99EA93DA1B465137FC0FD44FB7CD0EC5B849

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:QfzdI6K1UlWFY2uXvETdLHdmfOEUhmqJ4PYUO:QfzdI69lWFbuXvEhRmfOEImA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60001:co1RMrAfoCAJEjRiwCkYQmRtsWRkERJQQKQEWiXoBC2AACFAkA5TAlBEKwA1rECXiEA4MIsakIAqq2QkPcBFESxmRIJWMoah

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:8181ffffffffffff
Perceptual Hash:bc6d2d6d398292c3
Difference Hash:1717c0b6886d68b0
Wavelet Hash:00011f1767777f1e
Color Hash:#862d2d

Other Hashes

Scan History

Scan history not available

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