Security Scan Report: crees.ku.edu

Submitted: Feb 8, 2026, 11:45:40 AMCompleted: Feb 8, 2026, 11:47:13 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is crees.ku.edu and was registered NaN years ago.

Submitted URL: https://crees.ku.edu/map-facts-about-russia

The Cisco Umbrella rank of the primary domain is #114,580 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university subdomain with no security concerns.

Safety Factors
Well‑established domain (registered since 1996)
Hosted on standard university infrastructure
No suspicious external links or redirects
No credential or payment collection mechanisms
Domain age information unavailable

Details

Page Title

crees.ku.edu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

The domain 'crees.ku.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'crees'. The core label 'ku' covers 2 characters split between 1 vowel and 1 consonant. Tokenizing the label suggests one word: ku. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://crees.ku.edu/map-facts-about-russia

Page Load Overview

8.10s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:732 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
59%
adult content
50%
education
45%
government public service
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2129.237.135.235Lawrence, Kansas, United States
AS2496University of Kansas
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17F048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszQ2bMy8OldM:6hoC9JSqzzbs6o3Sj3gcrsc2eAS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184517:AlE2QqpAiJIigGRAwaDIfAG0AV3ACFL7InREBmkOKEkm2Q0NIEAcgkAACDuASoE1AwJyUEqWRACibARUgRKhRQAboIJBkbsC

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#b5d279

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data