Security Scan Report: ccjs.umd.edu

Submitted: Dec 28, 2025, 8:36:48 AMCompleted: Dec 28, 2025, 8:41:19 AMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 0 domains to perform 0 HTTP transactions. The main domain is ccjs.umd.edu.

Submitted URL: https://ccjs.umd.edu/feature/umd-forensic-expert-team-might-have-identified-%E2%80%98zodiac%E2%80%99-serial-killer

The Cisco Umbrella rank of the primary domain is #52,084 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

UMD Forensic Expert, Team Might Have Identified the ‘Zodiac’ Serial Killer | CCJS l Criminology and Criminal Justice Department l University of Maryland

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(54%)

Domain Information

Domain 'ccjs.umd.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'ccjs'. The second-level label 'umd' is 3 characters long with 1 vowel and 2 consonants. It segments into one word: umd. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ccjs.umd.edu/feature/umd-forensic-expert-team-might-have-identified-%E2%80%98zodiac%E2%80%99-serial-killer

Page Load Overview

1.83s
Total Load Time
0
HTTP Requests
0
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:6,655 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
54%
education
45%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
065.9.175.74United States
AS16509AMAZON-02
0142.251.208.3United States
AS15169GOOGLE
094.247.142.1United Kingdom
AS209242Cloudflare London, LLC
0142.250.185.136United States
AS15169GOOGLE
0104.21.27.152United States
AS13335CLOUDFLARENET
0129.2.241.210College Park, Maryland, United States
AS27UMDNET
0216.239.34.36United States
AS15169GOOGLE
0142.250.185.202United States
AS15169GOOGLE
08--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T153539605CFBE21FB1A6321C67B7AD347A2768451FB9D4895B63C028E7BC4F1215B230A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:EjL5fuMyk2qjqY3y28QSg2AGDCijEb3NFvofOUrmyg8GMAsGJ2wp4RVNFUk20WZG:EjlfuMyk2qjqY3y28QSg2AGDCijEb3NQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64088:LAQrCoCQCAAOoAphuoESAQngPaMSBghlpNoMABKODcQVBsgASEAzRiD/KIEEzyYCABYcZmA/igEAxhSgIREwNERTgmCDJQIS

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:190000f9fbfbffff
Perceptual Hash:e94396edfb324441
Difference Hash:31f3d1133333373c
Wavelet Hash:00000089f9fbffff
Color Hash:#2d6286

Scan History

Scan history not available

Unable to load historical scan data