Security Scan Report: select-indigo-hpikgg4in0-slnxrkfq3l.edgeone.app

Submitted: Feb 26, 2026, 6:47:22 PMCompleted: Feb 26, 2026, 6:48:30 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 18 HTTP transactions. The main domain is select-indigo-hpikgg4in0-slnxrkfq3l.edgeone.app and was registered NaN years ago.

Submitted URL: https://select-indigo-hpikgg4in0-slnxrkfq3l.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: 88%

2
Risk Score

Low‑risk personal marketing page; no malicious activity detected.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No network IDS alerts
Hosted on reputable edgeone.app platform
Domain age information unavailable

Details

Page Title

Kamlesh Yadav — Full Stack Marketer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(41%)

Domain Information

The domain 'select-indigo-hpikgg4in0-slnxrkfq3l.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'select-indigo-hpikgg4in0-slnxrkfq3l'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Word splitting yields 2 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://select-indigo-hpikgg4in0-slnxrkfq3l.edgeone.app/

Page Load Overview

0.98s
Total Load Time
18
HTTP Requests
3
Domains
300 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:11,509 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content41% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
41%
documentation technical
37%
government public service
35%
education learning
34%
corporate business
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
6142.251.141.99United States
AS15169Google LLC
6216.58.206.42United States
AS15169Google LLC
183--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16043C871D2B0103AA063D0D27A5557BF31A0D40BCD0B0694B6FC89889FD7DE6AF2369D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:N4wZjtdFnR3AbhojNlpUmRye68yNIvOUPLZPRj:tOAVv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57919:ARMgMAUNBCzliYBxPQGCABGERCCQUi4lhElHQFYBDAXUU0dEMELRgrmJxEaoAKFBhQhUEkCCDAMkQHAqKgzCyhCBo3IABAAi

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:0000e0e8d9000020
Perceptual Hash:f0e10f1cf0e383bc
Difference Hash:0520c890b3db2581
Wavelet Hash:8100e4feffc5e0f0
Color Hash:#6c8de0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data