ScanMalware.com

Security Scan Report: prof-issues-prelim-hkm51pdxh1.edgeone.app

Submitted: Mar 27, 2026, 6:22:43 AMCompleted: Mar 27, 2026, 6:24:03 AMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is prof-issues-prelim-hkm51pdxh1.edgeone.app and was registered NaN years ago.

Submitted URL: https://prof-issues-prelim-hkm51pdxh1.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%

4
Risk Score

Educational content referencing eBay; no credential collection, but brand mention on a low‑ranking subdomain warrants moderate caution.

Risk Factors
Brand impersonation/mention on a low‑ranking, newly created subdomain
Unverified subdomain age on a free hosting platform
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Prof Issues in IS Prelims Review

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

You're looking at domain 'prof-issues-prelim-hkm51pdxh1.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'prof-issues-prelim-hkm51pdxh1'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Segmentation suggests 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://prof-issues-prelim-hkm51pdxh1.edgeone.app/

Page Load Overview

0.55s
Total Load Time
7
HTTP Requests
3
Domains
160 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:1,164 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
education learning
33%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.141.74United States
AS15169Google LLC
2142.250.154.94United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
73--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18DC31A66B248132B056349836B365E9BB674944CE35602A0F8ADC2D45FD2DB4CF3B39F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:tUBEg6QIf04fvZ5/M/bpgQVMdCU4b6HHLwiRON2:tUvhIXQVd2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:120496:BEw0UMpQANUVRVKACXakQCrARAoEAZ7CgCACQAiKKBAQkx2TOE5CSRVOqYIAAIAGsaQkhexBJgmaIKCQoQC6OaKISBOkCIkU

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:1818ffffff000000
Perceptual Hash:ddcd0808f7e72362
Difference Hash:32b14e5601400000
Wavelet Hash:9818ffffff0000c1
Color Hash:#87b8c5

Other Hashes

Crop Resistant:32b14e5601400000

Scan History

Scan history not available

Unable to load historical scan data