Security Scan Report: online.ucpress.edu

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Submitted: Completed: publiccompleted
This website contacted 14 IPs in 1 country across 2 domains to perform 11 HTTP transactions. The main domain is ucpress.edu and was registered 29 years ago.

Submitted URL: https://online.ucpress.edu/gastronomica/article-pdf/16/3/111/139995/gfc_2016_16_3_111.pdf

The Cisco Umbrella rank of the primary domain is #405,557 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 97%

0
Risk Score

Legitimate academic publisher page from University of California Press. No phishing, malware, or scam indicators. Cloudflare bot check is normal.

Safety Factors (5)
Well-established academic publisher domain (29 years old)
Content is an educational journal article, not a phishing or scam page
No forms or credential collection of any kind
No cross-origin credential exfiltration or suspicious network behavior
No malware, IoC, or IDS evidence
Domain age information unavailable

Details

Page Title

The Art of Competitive Eating | Gastronomica | University of California Pressother network

Scan Type

public

Domain Name Analysis

The domain name 'online.ucpress.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'online'. The registrable portion 'ucpress' spans 7 characters containing two vowels alongside 5 consonants. Segmentation suggests two words: uc, press. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://online.ucpress.edu/gastronomica/article-pdf/16/3/111/139995/gfc_2016_16_3_111.pdf

Page Load Overview

0.47s
Total Load Time
978 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:390 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
education
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.18.12.179Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
065.8.131.7Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
03.160.150.14Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0142.251.13.95Google · CDNUnited States
AS15169Google LLC
0104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.13.156Google · CDNUnited States
AS15169Google LLC
0142.251.127.103Google · CDNUnited States
AS15169Google LLC
0142.251.150.119Google · CDNUnited States
AS15169Google LLC
1114--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13801D32A1C398927021579A0D4E2BBED18179317E141CFE870CC0474AF99BD88DA3840

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hUWfWksVrKClM6QclfhxdNNMo1PmqJmb41ld7jmVD9z8NWQHtJmIOG:hH/sVrKlspxPNMo1PRdd7qVN8dHnwG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:673:AAAAgABAAAAAgAAAAAAIAgAAAAAAAAAAAAAAAAABBAAAAAQAAAAAAAAAAAAAAAQAAAAAAACAAAAAAAAAgAAgAAABAAAAAAQA

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:cfc3c3ffffffffe7
Perceptual Hash:b03932cec6cec6cc
Difference Hash:189e16100000000c
Wavelet Hash:0f030f1f3c3c3c00
Color Hash:#9ad279

Other Hashes

Crop Resistant:189e16100000000c

Scan History

Scan history not available

Unable to load historical scan data