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Security Scan Report: greatcities.uic.edu

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/b129c90b-2e87-4eb5-8537-69335254e664Domain and IP registration (RDAP)/api/v1/rdap/b129c90b-2e87-4eb5-8537-69335254e664How often this domain was scanned/api/v1/domain/stats/greatcities.uic.eduScan history for this domain/api/v1/domain/history/greatcities.uic.edu?limit=15
This website contacted 28 IPs in 1 country across 18 domains to perform 64 HTTP transactions. The main domain is uic.edu and was registered 38 years ago.

Submitted URL: https://greatcities.uic.edu/news-stories/chicagos-2023-mayoral-race-a-progressive-victory-amidst-shocking-low-turnout-by-black-and-latino-voters/

The Cisco Umbrella rank of the primary domain is #128,672 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate University of Illinois Chicago Great Cities Institute news article on a 38-year-old .edu domain; no credential/payment forms, no impersonation, no threat-intelligence hits.

Safety Factors (5)
Well-established 38-year-old .edu domain
Physical address (412 South Peoria Street, Chicago) and phone number (312) 996-8700 visible
Privacy statement and University of Illinois System cookie/legal pages present
No credential or payment collection; only search and translation forms
No Indicators of Compromise, no Safe Browsing hit, no IDS phishing/malware alert
Domain age information unavailable

Details

Page Title

Chicago’s 2023 Mayoral Race: A Progressive Victory Amidst Shocking Low Turnout by Black and Latino Voters | Great Cities Institute | University of Illinois Chicago

Scan Type

public

Domain Name Analysis

You're looking at domain 'greatcities.uic.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'greatcities'. Its registrable label 'uic' stretches across 3 characters with two vowels and one consonant. Tokenizing the label suggests one word: uic. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://greatcities.uic.edu/news-stories/chicagos-2023-mayoral-race-a-progressive-victory-amidst-shocking-low-turnout-by-black-and-latino-voters/

Page Load Overview

4.17s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:12,585 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network52% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
52%
education
45%
government public service
43%
news/blog
35%

Detected Features

Search
Articles
OG: article

Domain & IP Information

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2142.251.20.100Google · CDNUnited States
AS15169Google LLC
252.162.107.47Azure · CLOUDChicago, Illinois, United States
AS8075Microsoft Corporation
2142.251.152.119Google · CDNUnited States
AS15169Google LLC
2142.251.14.139Google · CDNUnited States
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2192.178.183.94Google · CDNUnited States
AS15169Google LLC
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
6428--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168647DA2B194B83A53C747ECA1F35260B3756206E002899CBBBC99F86F84DD9447773D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:9/l5+K5jaZ4hiyhZ9U+yfZiHxuwCIQXiiwnXqQtuUNVHGHldnhcdRx2T6GBZ+9sm:xeK9o47kRUcKKiTB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:317375:JgEEAsuEogGCshEADqAjgSACCE0Io4zgSOlQkbXcXAzODkFRLTIUk4AADU4pAvAhMKOQCBgES1ICCBCWCWUDLAOjQBxCQwZB

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:8300ffffffff8004
Perceptual Hash:b6e916c916c9b4ac
Difference Hash:22c6373b260f232c
Wavelet Hash:8b00c3ffffff0000
Color Hash:#53a3ac

Other Hashes

Crop Resistant:da18ca49315b989a,22c6373b260f232c

Scan History

Scan history not available

Unable to load historical scan data