ScanMalware.com

Security Scan Report: economics.uccs.edu

Submitted: Nov 25, 2025, 1:08:39 PMCompleted: Nov 25, 2025, 1:11:10 PMpubliccompleted
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Summary

This website contacted 65 IPs in 5 countries across 21 domains to perform 61 HTTP transactions. The main domain is economics.uccs.edu and was registered NaN years ago.

Submitted URL: https://economics.uccs.edu/faculty/dan-driscoll

The Cisco Umbrella rank of the primary domain is #434,890 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Domain age over 30 years (well‑established)
Hosted on standard university infrastructure
No credential or payment forms detected
No malicious Indicators of Compromise matches found
Consistent branding with official University of Colorado Colorado Springs domain
Domain age information unavailable

Details

Page Title

Dan Driscoll | Department of Economics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

The domain name 'economics.uccs.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'economics'. Its registrable label 'uccs' stretches across 4 characters containing 1 vowel alongside 3 consonants. Tokenizing the label suggests 2 words: ucc, s. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://economics.uccs.edu/faculty/dan-driscoll

Page Load Overview

1.72s
Total Load Time
61
HTTP Requests
21
Domains
3.1 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:750 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
55%
adult content
49%
education
45%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1923.185.0.3United States
AS54113FASTLY
6142.250.185.136United States
AS15169GOOGLE
552.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4104.21.27.152United States
AS13335CLOUDFLARENET
313.33.187.6New York, New York, United States
AS16509AMAZON-02
3216.239.32.36United States
AS15169GOOGLE
3150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2142.250.184.195United States
AS15169GOOGLE
298.98.135.24Amsterdam, North Holland, Netherlands
AS21859ZEN-ECN
220.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
6165--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B634F16B8F51133415382A97763736CBEB68013E2895C65F5ACA3A8EFD6F831D4360E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:cm5vAvpy8vgzcx4Rk6SNJciobgIZqysZEjU:cmmBycciotsZEjU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70098:wCQBAdDOVisIIsQC4MsCBUQIqQAELhHIgAUgI2CJJgggpCAx0opwhKADAXQIwKMkIFQQ2FMUoIBJEgLjm7YExEAGAYDHCQII

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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