Security Scan Report: booksite.ru

Redirected to:
https://www.booksite.ru/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 12 IPs in 4 countries across 12 domains to perform 138 HTTP transactions. The main domain is booksite.ru and was registered 26 years ago.

Submitted URL: https://booksite.ru

Effective URL:
https://www.booksite.ru/
Redirected

The Cisco Umbrella rank of the primary domain is #917,842 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 90%

1
Risk Score

Established 1999 regional library site (booksite.ru) matching its own brand, with only a site-search form and no credential/payment capture, no threat-intel or malware signals. Legitimate.

Safety Factors (5)
26-year-old registered domain with stable identity
Self-branding consistent with the domain name and real-world organisation details (address, phone, email on own domain)
No credential, login or payment capture forms; no cross-origin form submissions
All JavaScript served from the site's own domain; third-party scripts limited to analytics/chat widgets
No Indicators of Compromise, hunting rule, IDS or Safe Browsing signals
Domain age information unavailable

Details

Page Title

Сайт Вологодской областной универсальной научной библиотеки - ВОУНБother network

Scan Type

public

Domain Name Analysis

Within the Russian country-code top-level domain (.ru), 'booksite.ru' is registered. Its registrable label 'booksite' stretches across 8 characters with four vowels and 4 consonants. Segmentation suggests 2 words: book, site. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Libs Sat ace ACA Tlovckno caiiry —onck no Katanory | rlonck no caliry “ ae FP [ner Aa, JABHA. GVTATESIAM PECYPCbL KOHKYPCbI KOJUIETAM O BUBAMOTEKE WHTEPHET-MATASUH FOHOLIECKMA LIEHTP Oueuka paG...

Page Load Overview

17.14s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ru-RU
Text Length:7,991 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
government public service
33%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1777.93.102.94Russia
AS13055MTS PJSC
11194.190.9.190Russia
AS52184Main Center of Information and Computing Ministry of culture of Russian Federation
11142.250.154.95Google · CDNUnited States
AS15169Google LLC
11109.207.9.85Russia
AS196747Rostelecom
115.101.71.73Yerevan, Yerevan, Armenia
AS201589edgeam LLC
1187.250.250.119Yandex · CLOUDRussia
AS13238YANDEX LLC
11185.71.67.146Russia
AS43298Storm Networks LLC
1177.88.21.119Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
1187.250.251.119Yandex · CLOUDRussia
AS13238YANDEX LLC
1137.18.100.36Russia
AS208677Cloud.ru
13812--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FDB3D6F3485E943F1004ABD1E170BF4C60FB06B9D9058E92FAB52B7FF6C6D60A619219

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:meDMcs687LVQVSf2UpSYX1maRBLKLlUW+X8pnzmS:meocgRH8ZD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:110676:BIlQKsaVIICgNFxUAEgKEI2RGcFwiAUilNl0QVgULQptSBEhEqAgMkOYiIQAAT2UjzkAQLSNgggU4USIK8ICEWkwqgJAFGBS

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:0000fbfbcfc9dfcf
Perceptual Hash:f94d383a30ecb9b0
Difference Hash:366202421f1b121e
Wavelet Hash:0000fbfbcfc8c1cf
Color Hash:N/A

Other Hashes

Crop Resistant:366202421f1b121e

Scan History

Scan history not available

Unable to load historical scan data