Security Scan Report: app.campuscommerce.com

Submitted: Jun 27, 2026, 6:22:42 PMCompleted: Jun 27, 2026, 6:24:36 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is app.campuscommerce.com and was registered NaN years ago.

Submitted URL: https://app.campuscommerce.com

The Cisco Umbrella rank of the primary domain is #124,800 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'app.campuscommerce.com' uses the commercial generic top-level domain (.com) with subdomain 'app'. The second-level label 'campuscommerce' is 14 characters long containing five vowels alongside nine consonants. It segments into 2 words: campus, commerce. Expect 7 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.campuscommerce.com

Page Load Overview

0.60s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:33 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23.33.214.153United States
AS16509Amazon.com, Inc.
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152F0BE9FAF12207B2E238571F4C32169CF680A6BEB9925D28749011F72CE04188F5FA9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxReRHbx0AqdtklIgr8IHTF83TF83TF83TF83TF83TFf:kTeRHmAm8LTuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:534:AAAAAoAAAAAAAAAEABAAAAAAAAAAAAIAAAAgAAAAAAAAAAAAIAAAAAAAAAAAAAAAAAAAAAIAAAAAAAQAAQAAAAAAAAAgAAAA

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:00ffffffffffffff
Perceptual Hash:e666666666662333
Difference Hash:0c00000000000000
Wavelet Hash:00ff3f3f00000000
Color Hash:#2d3686

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

Unable to load historical scan data