Security Scan Report: nikhilaeliyas-gt7wq9t10k.edgeone.app

Submitted: Feb 18, 2026, 7:45:09 PMCompleted: Feb 18, 2026, 7:46:32 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is nikhilaeliyas-gt7wq9t10k.edgeone.app and was registered NaN years ago.

Submitted URL: https://nikhilaeliyas-gt7wq9t10k.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

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware detected
Page title does not impersonate any known brand
Domain age information unavailable

Details

Page Title

nikhilaeliyas-gt7wq9t10k.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(70%)

Domain Information

The domain 'nikhilaeliyas-gt7wq9t10k.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'nikhilaeliyas-gt7wq9t10k'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. It segments into 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nikhilaeliyas-gt7wq9t10k.edgeone.app/

Page Load Overview

2.86s
Total Load Time
2
HTTP Requests
1
Domains
3 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:2,189 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content70% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
70%
healthcare medical
64%
education learning
59%
phishing scam
39%
finance banking
38%

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

T168048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszW2bMy8OldK:5hoC9JSqzzbs6o3Sj3gcrsC2eAY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184571:AAQAmojEJoCCUcuKAA2jigQBieUIeRWAAoQABloCSgDTEEAPgMgFEA4Ikmg4NAsgGZQkWSEhrAgACCRQiYwECeEUFQBaRgeB

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc676363
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#c1e06c

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data