Security Scan Report: flaky-lavender-flyubrthd6-hxi6vynax9.edgeone.app

Submitted: Mar 18, 2026, 1:30:29 PMCompleted: Mar 18, 2026, 1:32:03 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is flaky-lavender-flyubrthd6-hxi6vynax9.edgeone.app and was registered NaN years ago.

Submitted URL: https://flaky-lavender-flyubrthd6-hxi6vynax9.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

The site mimics IRCTC on a newly created hosting subdomain, indicating brand impersonation – treat as phishing and do not use.

Risk Factors
Brand impersonation (IRCTC) on a non‑official domain
New subdomain on a free hosting platform (edgeone.app) with unknown creation date
Domain age unknown / potentially newly registered
Domain age information unavailable

Details

Page Title

Confirmtkt PNR Status – Gitanjali Exp (3A Confirmed)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(74%)

Domain Information

You're looking at domain 'flaky-lavender-flyubrthd6-hxi6vynax9.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'flaky-lavender-flyubrthd6-hxi6vynax9'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. Splitting it apart reveals 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://flaky-lavender-flyubrthd6-hxi6vynax9.edgeone.app/

Page Load Overview

5.81s
Total Load Time
2
HTTP Requests
1
Domains
7 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:1,089 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content74% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
74%
documentation technical
63%
government public service
52%
travel tourism
39%
finance banking
34%

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

T174321FA796E30063786394A43B765B9777A1D507C00AC6683FEC63588F8ACD1EE6371C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VzzxtKuBUBy01NCoUeR/sQRUxGwce8jUqdtBbyFmR0z1Ro4rGAnC0I8BWKGsN3Ul:VzUi3/o+dS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11877:MWEYBiAlg6iBiQJVgiJqwQIgiBGF+BDBkxiBQEECKAvAIeDimlAAwGCM4AHKIJNJwCwGMhIwiELCcARAAgYRQBsBqzVFVIAJ

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:c3e7ffffffffffef
Perceptual Hash:f366326626732399
Difference Hash:4c4c121612565a5a
Wavelet Hash:c2c2eaeaf8e0c8e8
Color Hash:#1f9372

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data