Summary
API
Submitted URL: https://href.li/?https://en.wikibooks.org/wiki/Microsoft_Office/Logging_In_%26_Out
The Cisco Umbrella rank of the primary domain is #129,868 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Wikibooks page with no security concerns.
Safety Factors (2)
Details
Page Title
Microsoft Office/Logging In & Out - Wikibooks, open books for an open world
Scan Type
public
Domain Name Analysis
The domain 'href.li' uses the .li country-code top-level domain with no subdomain. Its registrable label 'href' stretches across 4 characters split between 1 vowel and three consonants. Word splitting yields one word: href. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.
Screenshot
![Search Wikibooks Search re] “The Wiibooks community is developing a policy on he use of generative Al, Please review the draft policy and provide feedback on its tak page. 3% Add languages ¥ Micros...](/api/v1/screenshot/25b2b739-b816-4d47-b0fa-b22f6258754e.png?width=640)
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 |
|---|---|---|---|
| 9 | 185.15.59.224 | United States | AS14907WIKIMEDIA |
| 9 | 192.0.78.26 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 9 | 185.15.59.240 | United States | AS14907WIKIMEDIA |
| 9 | 2a02:ec80:300:ed1a::1 | United States | AS14907WIKIMEDIA |
| 9 | 192.0.78.27 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 9 | 2a02:ec80:300:ed1a::2:b | United States | AS14907WIKIMEDIA |
| 59 | 6 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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