Security Scan Report: rich-indigo-1f0pupyxgf-ha09qu79kk.edgeone.app

Submitted: Apr 14, 2026, 5:39:18 AMCompleted: Apr 14, 2026, 5:40:40 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is rich-indigo-1f0pupyxgf-ha09qu79kk.edgeone.app and was registered NaN years ago.

Submitted URL: https://rich-indigo-1f0pupyxgf-ha09qu79kk.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Subdomain on edgeone.app with unknown age hosts a login form; low domain ranking and heavily obfuscated JavaScript raise moderate phishing risk.

Risk Factors
Unknown subdomain age
Credential collection form on new subdomain
Low domain ranking
Highly obfuscated JavaScript
Safety Factors
No Indicators of Compromise matched
No JavaScript malware YARA patterns
No network IDS alerts
No cross‑origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

ALKABRAIN AI - Modern Dev Core

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(53%)

Domain Information

Within the application-focused generic top-level domain (.app), 'rich-indigo-1f0pupyxgf-ha09qu79kk.edgeone.app' is registered, featuring subdomain 'rich-indigo-1f0pupyxgf-ha09qu79kk'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Word splitting yields 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rich-indigo-1f0pupyxgf-ha09qu79kk.edgeone.app/

Page Load Overview

1.17s
Total Load Time
10
HTTP Requests
5
Domains
24 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:3,117 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software53% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
2142.251.151.119Singapore
2142.251.14.94United States
AS15169Google LLC
2104.26.2.143SingaporeUnknown
2104.18.0.22SingaporeUnknown
105--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E093E81532A2047B5CE750F5F3A26F9DB92D918BCE2B89E57A9C42006FC3DA34D63784

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:fQHhnOfSru1/SX+WbQcDxaN0fAxoeHhvHycnweO3BNzr5AzG0758mTj:qhOf3Q/+nhjORGG0lTj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90155:S1dCgDICAIdJAT2MpKUhIEDgNKQiBEQ0DQIBIAwEACAwRjmEhpYcmFJgANQws9REhBCJgGoKAJ86hECgJAACswJ6EAlDRwCE

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:0101010101010101
Perceptual Hash:aa55aaaa55aaaa55
Difference Hash:0101010111010101
Wavelet Hash:03030b1b1b0b0f0f
Color Hash:#523a78

Other Hashes

Crop Resistant:0101010111010101

Scan History

Scan history not available

Unable to load historical scan data