Security Scan Report: href.li

Redirected to: https://en.wikibooks.org/wiki/Microsoft_Office/Logging_In_%26_Out

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Submitted: Dec 9, 2025, 3:03:58 AMCompleted: Dec 9, 2025, 3:05:06 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 5 domains to perform 59 HTTP transactions. The main domain is en.wikibooks.org and was registered NaN years ago.

Submitted URL: https://href.li/?https://en.wikibooks.org/wiki/Microsoft_Office/Logging_In_%26_Out

Effective URL: https://en.wikibooks.org/wiki/Microsoft_Office/Logging_In_%26_OutRedirected

The Cisco Umbrella rank of the primary domain is #129,868 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Wikibooks page with no security concerns.

Safety Factors
Content hosted on a reputable Wikimedia project
Redirect service (href.li) resolves to a legitimate destination
Domain age information unavailable

Details

Page Title

Microsoft Office/Logging In & Out - Wikibooks, open books for an open world

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(31%)

Domain Information

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

Security scan screenshot of https://href.li/?https://en.wikibooks.org/wiki/Microsoft_Office/Logging_In_%26_Out

Page Load Overview

18.82s
Total Load Time
59
HTTP Requests
5
Domains
250 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:8,421 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical31% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
31%
adult content
28%
technology software
26%
forum
20%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9185.15.59.224United States
AS14907WIKIMEDIA
9192.0.78.26San Francisco, California, United States
AS2635AUTOMATTIC
9185.15.59.240United States
AS14907WIKIMEDIA
92a02:ec80:300:ed1a::1United States
AS14907WIKIMEDIA
9192.0.78.27San Francisco, California, United States
AS2635AUTOMATTIC
92a02:ec80:300:ed1a::2:bUnited States
AS14907WIKIMEDIA
596--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A0D3F992B841BA3F1B2307F4B156AB1DF7B698C3FA8251A47036058C5FD2D50A73792B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6Ibj2eFgvAfHNNeJ8hvbaXKX61eWnQuQnMQLY6tmxPvfZUa2VoQXMYvuECBmO9sP:6i2eFgvAfHNNeJ8hvbaXKX61eWnQuQnP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:140100:g0GSiIAaGEKAahJVAiQxGIEAcQGBBAIIEk0iSDAEAgJJqDZgQBwQJRmCwgkhAEkPrQwHk4hQ4gaBJBHBJDBFAFUkqowNQjAi

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:8fcfc3c3c3c3c3c3
Perceptual Hash:b49f969e2223878b
Difference Hash:6c36169e93969696
Wavelet Hash:8f8bc2c3c3c3c3c3
Color Hash:#ac5397

Other Hashes

Crop Resistant:6c36169e93969696

Scan History

Scan history not available

Unable to load historical scan data