Security Scan Report: occupational-jade-f4gxe5olfj-d15s7uocki.edgeone.app

Submitted: Mar 15, 2026, 8:12:55 AMCompleted: Mar 15, 2026, 8:14:20 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is occupational-jade-f4gxe5olfj-d15s7uocki.edgeone.app and was registered NaN years ago.

Submitted URL: https://occupational-jade-f4gxe5olfj-d15s7uocki.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: 80%

8
Risk Score

Login page on a newly created edgeone.app subdomain likely phishing; avoid providing credentials.

Risk Factors
Credential harvesting form on a newly created/unknown subdomain
Hosting platform subdomain with non‑descriptive random name
Domain age unknown (treated as new and suspicious)
Domain age information unavailable

Details

Page Title

Student Portal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(38%)

Domain Information

You're looking at domain 'occupational-jade-f4gxe5olfj-d15s7uocki.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'occupational-jade-f4gxe5olfj-d15s7uocki'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Breaking it apart gives 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://occupational-jade-f4gxe5olfj-d15s7uocki.edgeone.app/

Page Load Overview

1.36s
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:530 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2192.163.208.117United States
AS46606Unified Layer
143.152.26.58Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E862555635F30476598BA4F96BF28B0A3470C103DE07C9147AAC47E4CF6BE86A47B798

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:osFI++kNiHI1pU9bKQGwbAFSoM5+8a/wZuJGmO8M2m8mHEnyxcXLxs/WrWKOkVx:GkEodLFOmO8Mh8mknyWXFs/WrUkD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15547:4JFQNSGCgdVDBCosdwJnMGiANDiCQoSIQF0RwgAAKhAQRbiMEAAAQGEoGEdQYMhJFCRgMFrmiUEjgYJCBodzphhUWMc0bmDQ

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:#ae2dd2

Other Hashes

Crop Resistant:0004223a324c3008

Scan History

Scan history not available

Unable to load historical scan data