Summary
This website contacted 56 IPs in 3 countries across 18 domains to perform 1109 HTTP transactions. The main domain is reutersinstitute.politics.ox.ac.uk.
Submitted URL: https://reutersinstitute.politics.ox.ac.uk/generative-ai-and-news-report-2025-how-people-think-about-ais-role-journalism-and-society
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate academic report page with no security concerns.
Safety Factors
Details
Page Title
Generative AI and news report 2025: How people think about AI’s role in journalism and society | Reuters Institute for the Study of Journalism
Scan Type
public
Language
English
Category
news media journalism
(85%)Domain Information
Within the United Kingdom country-code top-level domain (.ac.uk), 'reutersinstitute.politics.ox.ac.uk' is registered; it also runs on subdomain 'reutersinstitute.politics'. Its registrable label 'ox' stretches across 2 characters with one vowel and one consonant. Tokenizing the label suggests 1 word: ox. 'ox' most often appears in English. You may catch it in Icelandic and Sinhala as well.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 1031 | 172.66.152.96 | United States | AS13335CLOUDFLARENET |
| 25 | 129.67.240.123 | Oxford, England, United Kingdom | AS786Jisc Services Limited |
| 20 | 23.216.77.153 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 19 | 142.250.186.99 | United States | AS15169GOOGLE |
| 19 | 142.250.184.238 | United States | AS15169GOOGLE |
| 19 | 142.250.186.67 | United States | AS15169GOOGLE |
| 19 | 142.250.186.40 | United States | AS15169GOOGLE |
| 19 | 104.20.24.216 | United States | AS13335CLOUDFLARENET |
| 19 | 142.250.185.238 | United States | AS15169GOOGLE |
| 19 | 23.216.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1109 | 56 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data