Security Scan Report: presalesform-ko0n4ti0yo.edgeone.app

Submitted: Jan 25, 2026, 12:26:31 AMCompleted: Jan 25, 2026, 12:27:49 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 1 HTTP transaction. The main domain is presalesform-ko0n4ti0yo.edgeone.app and was registered NaN years ago.

Submitted URL: https://presalesform-ko0n4ti0yo.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: 95%

0
Risk Score

Legitimate presales form with no security concerns detected.

Safety Factors
Established domain age
No credential or payment collection
No malicious Indicators of Compromise
No malicious JavaScript detected
Standard hosting environment
Domain age information unavailable

Details

Page Title

Presales Allocation Form

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

documentation technical

(43%)

Domain Information

The domain name 'presalesform-ko0n4ti0yo.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'presalesform-ko0n4ti0yo'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three consonants. Splitting it apart reveals two 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://presalesform-ko0n4ti0yo.edgeone.app/

Page Load Overview

1.94s
Total Load Time
10
HTTP Requests
5
Domains
661 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:1,680 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical43% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
43%
technology software
38%
government public service
38%
social media network
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.16.175.226United States
AS13335CLOUDFLARENET
2142.251.141.131United States
AS15169GOOGLE
243.152.26.58Singapore
274.225.90.16Nagpur, Maharashtra, India
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2142.250.184.234United States
AS15169GOOGLE
105--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E23D86954F310B1517310F42FE7490A7AB6D103E201CC68BFAD9398CF96E98DAB77A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:EgyQ+C53ZhbYJyjvPLi/Jyg8yAltSvuYAB0BL:GCVY0PLi/4GusBL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46811:UQhikYonAAmQxCySXALDKo3lBLzmIGAwmUCCExBWEgEJWAioEOMwHIFQlFQhFYI1BAUUKIRABK4QhCIXTRkbIBlYIJMkFlVg

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:003c3c3c3c3c3c3c
Perceptual Hash:ca74642c6565757c
Difference Hash:e969696969696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#d28b2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data