Security Scan Report: crdl.usg.edu

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Submitted: Jun 11, 2026, 3:23:30 AMCompleted: Jun 11, 2026, 3:25:06 AMpubliccompleted
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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 crdl.usg.edu and was registered NaN years ago.

Submitted URL: https://crdl.usg.edu/people/abdul_jabbar_kareem_1947

The Cisco Umbrella rank of the primary domain is #90,012 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #90,012.

Safety Factors
Well-established domain (ranked #90,012)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

Abdul-Jabbar, Kareem, 1947- - Civil Rights Digital Library

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

Domain 'crdl.usg.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'crdl'. Count 3 characters in 'usg' with 1 vowel and 2 consonants. Splitting it apart reveals 1 word: usg. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://crdl.usg.edu/people/abdul_jabbar_kareem_1947

Page Load Overview

9.07s
Total Load Time
19
HTTP Requests
5
Domains
381 KB
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:2,902 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19128.192.188.74Savannah, Georgia, United States
AS36441University of Georgia
191--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10FB012EFB66E090CBF9336E24DC73BB05C6E836C380609505B85AA23B9040768D671C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6iMsMgs0UL3AE+FoJRx+QV3ZKHKqz:qzxO967gs0HE+2XV3ZcKqz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:f68c0555332117ba9dae28d7e3f47b16

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:3fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#5396ac

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data