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Security Scan Report: lp-optimization-guidelines-t7cpbs7coq.edgeone.app

Submitted: Mar 22, 2026, 1:05:24 PMCompleted: Mar 22, 2026, 1:06:49 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is lp-optimization-guidelines-t7cpbs7coq.edgeone.app and was registered NaN years ago.

Submitted URL: https://lp-optimization-guidelines-t7cpbs7coq.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

No malicious indicators detected; new subdomain with no forms; low risk.

Safety Factors
No credential or payment fields present
No malicious Indicators of Compromise
JavaScript obfuscation score is low (standard minification)
Hosted on a known platform without suspicious behavior
Domain age information unavailable

Details

Page Title

Country Landing Page — Semantic Optimization Briefs

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(37%)

Domain Information

Within the application-focused generic top-level domain (.app), 'lp-optimization-guidelines-t7cpbs7coq.edgeone.app' is registered with subdomain 'lp-optimization-guidelines-t7cpbs7coq'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Splitting it apart reveals 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://lp-optimization-guidelines-t7cpbs7coq.edgeone.app/

Page Load Overview

0.71s
Total Load Time
2
HTTP Requests
1
Domains
12 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:14,866 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping37% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
37%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D6338B105AF55073426688C17D752FAB2AD2DA23DD2B475076AC0FE48FF6CB0DC5B889

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:V/G3ikoGrEBEY9a/onlXAS9sE4BfJJUjuiclIPUPMB8wa5lmN1+zfshv:43YoY90BBrIHiSh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52297:SCJEAAEgIjDQyjCwIiBzQLTFImCQcVUAiTgQEUoLCYYlBOORNMMiAC9AQRkwRd8BBI+YQQlZAJJECBATQAAgoYQpQgVA44Bo

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:81c3ffffffffdf83
Perceptual Hash:bc6d6d616cc39682
Difference Hash:17177c2c6de81707
Wavelet Hash:808183dff7ff8181
Color Hash:#46862d

Other Hashes

Crop Resistant:17177c2c6de81707,018669f1a6880041,ffbf6767cfcfcfff

Scan History

Scan history not available

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