Security Scan Report: witty-coffee-adxpipkw-dpvvfphor63j.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 19 IPs in 2 countries across 11 domains to perform 40 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://witty-coffee-adxpipkw-dpvvfphor63j.edgeone.dev/

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Self-branded Arabic GIS course portal on an unknown-age free-hosting subdomain. Login form collects email, phone and password, but there is no impersonation, no exfiltration, no payment fields and no malware signal — moderate only because credentials go to an unverifiable host.

Risk Factors (3)
Credential-collecting form (email + phone + password) hosted on an anonymous, unknown-age free-hosting subdomain with no verifiable institutional affiliation
A staff/shared password ('DOCTOR2026') is displayed in plaintext in the page content, indicating a demo-grade authentication setup
Unranked host not present in Cisco Umbrella top 1M — weak prior only, not evidence of malice
Safety Factors (5)
No brand impersonation of a different entity — fully self-branded
No payment or card fields; no disguised password fields
No cross-origin credential submission or exfiltration detected by JS behaviour analysis
No YARA malware patterns, no IDS/Suricata alerts, no kit-roster match
Coherent, internally consistent content (course projects, attendance, PDF reports) consistent with a genuine student/teaching project
Domain age information unavailable

Details

Page Title

GeoEdu Portal — منصة نظم المعلومات الجغرافية 2026

Scan Type

public

Domain Name Analysis

Domain 'witty-coffee-adxpipkw-dpvvfphor63j.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'witty-coffee-adxpipkw-dpvvfphor63j'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://witty-coffee-adxpipkw-dpvvfphor63j.edgeone.dev/

Page Load Overview

1.10s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

HTML Lang Attribute:ar
Text Length:2,679 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software87% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
87%
education learning
85%
government public service
80%
documentation technical
77%
adult content
64%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.174.247.29Singapore
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.178.183.102Google · CDNUnited States
AS15169Google LLC
2142.251.13.94Google · CDNUnited States
AS15169Google LLC
2142.251.14.95Google · CDNUnited States
AS15169Google LLC
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4019--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10DD3F66121B1087A19938DF9F1729F6AF564E603DE0BD09572AC02D05FF7DA2CDAB318

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ECh9nQok6ccGRG9VTJBLcGMhutI7kvBTCMfi7Je809:EChBRfq0f9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:142964:l0AEN2JEAQlFhCCkINAwIcgUAMQywMEhAJQTUEkjQAYIAAVOKJhlQF7gEYBqLhQChXAgkOCeFG+BCG7ECAEygAhVCECAsFKG

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:7e66667e7e7e7e7e
Perceptual Hash:d4742b8b4bcf6a30
Difference Hash:ec9cccc4d4dcc0cc
Wavelet Hash:6046467e7e7e7e00
Color Hash:#79d2b5

Scan History

Scan history not available

Unable to load historical scan data