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Security Scan Report: presalesform-jmmmjslsrh.edgeone.app

Submitted: Jan 21, 2026, 8:56:43 AMCompleted: Jan 21, 2026, 8:58:01 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 9 HTTP transactions. The main domain is presalesform-jmmmjslsrh.edgeone.app and was registered NaN years ago.

Submitted URL: https://presalesform-jmmmjslsrh.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 security concerns detected; site appears legitimate.

Safety Factors
Established domain (>365 days)
No credential or payment collection
No malicious Indicators of Compromise
Standard informational/presales form
Domain age information unavailable

Details

Page Title

Presales Allocation Form

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(46%)

Domain Information

The domain name 'presalesform-jmmmjslsrh.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'presalesform-jmmmjslsrh'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Tokenizing the label suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://presalesform-jmmmjslsrh.edgeone.app/

Page Load Overview

1.86s
Total Load Time
10
HTTP Requests
5
Domains
657 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:1,661 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical46% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
46%
government public service
42%
technology software
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.58.206.35United States
AS15169GOOGLE
274.225.90.16Nagpur, Maharashtra, India
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
243.152.26.58Singapore
AS139341ACE
2142.250.185.74United States
AS15169GOOGLE
2104.16.175.226United States
AS13335CLOUDFLARENET
105--

Detected Technologies1

jsDelivr
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DB23D86954F310B1517310F42FE7490A7AB6D103E201CC68BFAD9398CF96E98DAB77A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:EgyQ+C53ZhbYJyjvPLi/Jyg8yAltSvuVAB0BL:GCVY0PLi/4GulBL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46722:FCAEJTrnABEAwCeEPQNU4ALGhCymCGAILgKQkAAWxKGMEhggEBAQIJEDgEkkVQIzC0M1ZM1IYChggEp0wQCCABIOCWsGqMBN

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:ca74652d6565356c
Difference Hash:e969696969696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#66bf40

Other Hashes

Crop Resistant:c6c6acc4f0e4c4d1,e969696969696969

Scan History

Scan history not available

Unable to load historical scan data