Security Scan Report: lib.ysu.am

Redirected to: https://lib.ysu.am/disciplines_bk/5e1dd92a7b2277b80658a8823c937b8c.pdf

Submitted: Mar 31, 2026, 5:47:34 PMCompleted: Mar 31, 2026, 5:49:41 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is lib.ysu.am.

Submitted URL: http://lib.ysu.am/disciplines_bk/5e1dd92a7b2277b80658a8823c937b8c.pdf

Effective URL: https://lib.ysu.am/disciplines_bk/5e1dd92a7b2277b80658a8823c937b8c.pdfRedirected

The Cisco Umbrella rank of the primary domain is #708,202 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the PDF appears legitimate.

Safety Factors
Absence of credential or payment forms
No external domains or redirects
Low ranking does not coincide with any malicious behavior
Content type is a static PDF
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇳🇱

Dutch

(21% confidence)

Category

unknown

(0%)

Domain Information

Within the Armenian country-code top-level domain (.am), 'lib.ysu.am' is registered and includes subdomain 'lib'. Its registrable label 'ysu' stretches across 3 characters with 1 vowel and 2 consonants. Breaking it apart gives 2 words: y, su. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://lib.ysu.am/disciplines_bk/5e1dd92a7b2277b80658a8823c937b8c.pdf

Page Load Overview

2.95s
Total Load Time
3
HTTP Requests
1
Domains
2.8 MB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:21%
Script:Latin
Direction:ltr

Detection Details

Language Code:nl
Detection Confidence:21%
Script Type:Latin
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
346.182.173.18Yerevan, Yerevan, Armenia
AS205368Fnet LLC
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B2E068E28A836C48D41B3B994CAA822C912B46DDD3828E1834DD72E2920F1F488136DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:haxO96v6OqoXssF/uBKTRbjzeBcOq2rwneFy+RU3tZoOk7EcchHexD:haxPvpXMK9INGn55te7Ah0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:9c4a431fec2b9fdfcd337574fb563be2

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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