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Security Scan Report: www.schiller.edu

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Submitted: May 1, 2026, 3:55:05 PMCompleted: May 1, 2026, 3:55:58 PMpubliccompleted
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Summary

This website contacted 13 IPs in 4 countries across 13 domains to perform 38 HTTP transactions. The main domain is schiller.edu and was registered NaN years ago.

Submitted URL: https://www.schiller.edu/blog/is-the-ai-boom-a-bubble-what-it-means-for-global-finance-and-future-professionals/

AI Security Verdict

Moderate Risk

Confidence: 82%

4
Risk Score

The site appears to be a legitimate educational blog, but heavy JavaScript obfuscation and low domain reputation give it a moderate risk rating.

Risk Factors
High JavaScript obfuscation (base64, unescape, excessive concatenation)
Unranked domain in Cisco Umbrella reputation list
Safety Factors
Domain age >30 years, well‑established
Brand in meta tags matches the domain (no impersonation)
No credential or payment collection forms
No malicious IoC, YARA, or IDS alerts detected
Domain age information unavailable

Details

Page Title

Is the AI Boom a Bubble? What It Means for Global Finance and Future Professionals

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

The domain 'www.schiller.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. Its registrable label 'schiller' stretches across 8 characters containing two vowels alongside 6 consonants. It segments into one word: schiller. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.schiller.edu/blog/is-the-ai-boom-a-bubble-what-it-means-for-global-finance-and-future-professionals/

Page Load Overview

3.09s
Total Load Time
90
HTTP Requests
28
Domains
3.6 MB
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:15,756 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%
corporate
70%
forum
40%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18136.143.191.162United States
AS2639ZOHO
6104.16.80.73United States
AS13335Cloudflare, Inc.
6136.143.186.114United States
AS2639ZOHO
6142.251.14.94United States
AS15169Google LLC
6104.18.87.42United States
AS13335Cloudflare, Inc.
637.157.2.250Denmark
AS198622Adform A/S
6142.251.110.95United States
AS15169Google LLC
6188.114.97.3United States
AS13335Cloudflare, Inc.
6157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
699.84.152.89United States
AS16509Amazon.com, Inc.
9013--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CB34B9318F20132013341F767F64719EEB2D007E2596C6179ED03A89FC7E566AA3BAD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nysxcqf0olFavs3/YLN/6SlNlpQkBADp3eE3qnVj429YnHXdLSdWqdNEdlpVgGZc:yUcGlFa03/YLNVlOkfEj4ZoN/s2yl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109650:RJRwoYlCo1kAEZiSWMwgDjWZ4AYBTEQkIINCRsDwqAAIiIgcIiQAQYiJx2pYFgDCQMBKIMikQIgA4UJTgWCzSCI1IZCJYRRj

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:fd03010100ffffff
Perceptual Hash:aa0af6f616d34a16
Difference Hash:6dfff3ebfd3f1a2e
Wavelet Hash:2503010101ffffff
Color Hash:#87c58a

Other Hashes

Crop Resistant:6dfff3ebfd3f1a2e,6563b6725b969bff,132c2dcdcccd2c4c,fffffefefbfffffd,5d4e7234206a5a70

Scan History

Scan history not available

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