Security Scan Report: loveread.me

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Submitted: Sep 28, 2026, 1:41:47 PMCompleted: Sep 28, 2026, 1:42:24 PMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Long-established self-branded Russian e-book library with search/navigation forms only, no credential or payment fields, and no threat-intel, YARA or IDS hits — no malicious signals found.

Safety Factors (4)
Established 10-year-old domain with consistent self-branded identity
No credential, login or payment collection anywhere on the page
No threat-intelligence, YARA, IDS or Safe Browsing matches
Forms are limited to a page-number jump and a title/author search
Domain age information unavailable

Details

Page Title

Онлайн библиотека LoveRead.me – читать книги онлайн бесплатно

Scan Type

public

Domain Name Analysis

Within the Montenegrin country-code top-level domain (.me), 'loveread.me' is registered with no subdomain. The core label 'loveread' covers 8 characters holding 4 vowels versus 4 consonants. Tokenizing the label suggests 2 words: love, read. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://loveread.me

Page Load Overview

1.85s
Total Load Time
10.0 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:70%
Script:Cyrillic
Direction:ltr

Detection Details

Text Length:36,003 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical84% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
84%
cryptocurrency blockchain
68%
technology software
64%
documentation technical
60%
adult content
57%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12185.43.220.24Netherlands
AS59939WIBO Baltic UAB
11188.72.219.36Netherlands
AS35415Webzilla B.V.
1145.133.44.1Philadelphia, Pennsylvania, United States
AS39572DataWeb Global Group B.V.
1145.133.44.2Philadelphia, Pennsylvania, United States
AS39572DataWeb Global Group B.V.
454--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FF14FC5111EE64AB0112E416DC207F0E6DA784BF7B9B4716317E1E6E7FE3424CF2A21A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3RE7iqb+6GDxGWaWlSum2eyTx071tMV5L1276YD8ZIQnHeGIKXwdjXifD5hN6FU:Rxyum2xe1aV5L1Kj82QhwjyfNhN6FU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:191528:ErWhoahxRoCiMTCPCZNKMJVAiDMJgsgRM0LcF2CghGgAAwgaRwqXgETCWQQSSEi40iIAMCMkGiRKAsER5qgAIUAAXxMGkGUq

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:0000ffbfbfbfff7e
Perceptual Hash:9f6a601f0ff080f6
Difference Hash:69518c696c6c6884
Wavelet Hash:0000669fbfbebe46
Color Hash:#99bf40

Scan History

Scan history not available

Unable to load historical scan data