Security Scan Report: studylib.net

Submitted: Nov 20, 2025, 1:54:46 PMCompleted: Nov 20, 2025, 1:57:39 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 3 domains to perform 13 HTTP transactions. The main domain is studylib.net and was registered NaN years ago.

Submitted URL: https://studylib.net/doc/27976112/how-countries-go-broke

The Cisco Umbrella rank of the primary domain is #97,348 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
Good Cisco Umbrella ranking
No credential or payment collection fields
Standard Cloudflare protection page
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(65%)

Domain Information

Domain 'studylib.net' uses the network infrastructure generic top-level domain (.net). The registrable portion 'studylib' spans 8 characters with 2 vowels and 6 consonants. Word splitting yields two words: study, lib. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://studylib.net/doc/27976112/how-countries-go-broke

Page Load Overview

0.22s
Total Load Time
13
HTTP Requests
3
Domains
0 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-US
Text Length:329 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
65%
documentation technical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.21.73.241United States
AS13335CLOUDFLARENET
5104.18.94.41United States
AS13335CLOUDFLARENET
1104.18.95.41United States
AS13335CLOUDFLARENET
1172.67.193.117United States
AS13335CLOUDFLARENET
1104.16.80.73United States
AS13335CLOUDFLARENET
12606:4700::6812:5e29United States
AS13335CLOUDFLARENET
12606:4700:3031::6815:49f1United States
AS13335CLOUDFLARENET
1104.16.79.73United States
AS13335CLOUDFLARENET
12606:4700:3030::ac43:c175United States
AS13335CLOUDFLARENET
12606:4700::6810:5049United States
AS13335CLOUDFLARENET
1312--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13DA26B379952102FB23B0FA77195BB148120A389E701A7FAF067AD54CBC591F16633EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:U+zcq4brJkx7xHXLOh/y8AzDv8hFHMGCjn:BirJkhxHXYKHvGUn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21897:Bi7AqCBFQiA1EJYJABCpkykSgWImAiBxxBS1YLVHATEiQCFuogEgRBBIFLxACZNTAgE0LAMgKAIciRBBCIJiaqAEEyIgUENT

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:dfc3c7c3ffffffe7
Perceptual Hash:b03882cfc6ccc7c7
Difference Hash:101416160000000c
Wavelet Hash:3c000c003f3f1f03
Color Hash:#40bf79

Other Hashes

Crop Resistant:101416160000000c

Scan History

Scan history not available

Unable to load historical scan data