Security Scan Report: underground-gray-2msvcgofpe-a8i8b43k33.edgeone.app

Submitted: Mar 12, 2026, 11:46:41 PMCompleted: Mar 12, 2026, 11:48:02 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is underground-gray-2msvcgofpe-a8i8b43k33.edgeone.app and was registered NaN years ago.

Submitted URL: https://underground-gray-2msvcgofpe-a8i8b43k33.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

New subdomain login page likely phishing; avoid and report.

Risk Factors
New domain (<7 days) with credential collection form
Login form on an untrusted hosting‑platform subdomain
Lack of organizational context or supporting content
Domain age information unavailable

Details

Page Title

Student Portal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(63%)

Domain Information

Within the application-focused generic top-level domain (.app), 'underground-gray-2msvcgofpe-a8i8b43k33.edgeone.app' is registered; it also runs on subdomain 'underground-gray-2msvcgofpe-a8i8b43k33'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Breaking it apart gives two 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://underground-gray-2msvcgofpe-a8i8b43k33.edgeone.app/

Page Load Overview

1.53s
Total Load Time
3
HTTP Requests
2
Domains
8 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:634 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
63%
documentation technical
52%
technology software
46%
adult content
44%
government public service
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
1192.163.208.117United States
AS46606Unified Layer
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE72755635F20476598BA4F967F28B4A3860C103DF07C9147EAC87E8CF6BE9264273D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:osFI++kNiHI1pU9bKQGwbAFSoM5+8a/wZuJGmO8Mjm8mHEnyxcXLxs/W+wsWKiaN:GkEodLFOmO8My8mknyWXFs/W+JoaN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16667:sJAACST6EwigEAAOlogLM2gJpRzKIoKOAAzYxjSkgoAQQGBIFREkqgUQSHFwJthHpBBAEAu2o0EpAYJI8idQQAEAGAQpEybY

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:0000383c18241800
Perceptual Hash:d5cc663399cc26cc
Difference Hash:0004223a324c3008
Wavelet Hash:3e3e1e1e1e063c3c
Color Hash:#2dd288

Other Hashes

Crop Resistant:0004223a324c3008

Scan History

Scan history not available

Unable to load historical scan data