Security Scan Report: bookmeter.com

Submitted: Apr 16, 2026, 5:46:04 PMCompleted: Apr 16, 2026, 5:47:50 PMpubliccompleted
Loading additional data...

Summary

This website contacted 10 IPs in 3 countries across 10 domains to perform 1 HTTP transaction. The main domain is bookmeter.com and was registered NaN years ago.

Submitted URL: https://bookmeter.com

The Cisco Umbrella rank of the primary domain is #762,560 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Site appears legitimate with an established domain, but heavy JavaScript obfuscation and low ranking suggest caution.

Risk Factors
Low Cisco Umbrella ranking (762,560) for a site claiming a brand
Critical JavaScript obfuscation score with multiple eval/Function() calls
Safety Factors
Long‑standing domain registration since 2009
No malicious IoC or IDS alerts detected
No credential exfiltration or suspicious form behavior
Domain age information unavailable

Details

Page Title

読んだ本を記録して、新しい本に出会おう - 読書メーター

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

adult content

(47%)

Domain Information

Within the commercial generic top-level domain (.com), 'bookmeter.com' is registered and has no subdomain. Count 9 characters in 'bookmeter' split between four vowels and 5 consonants. It segments into 2 words: book, meter. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bookmeter.com

Page Load Overview

9.09s
Total Load Time
159
HTTP Requests
20
Domains
4.4 MB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:80%
Script:Mixed
Direction:ltr

Detection Details

Language Code:ja
Detection Confidence:80%
Script Type:Mixed
HTML Lang Attribute:ja-jp
Text Length:4,730 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content47% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
47%
government public service
33%
finance banking
30%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2413.33.52.91New York, New York, United States
AS16509Amazon.com, Inc.
15104.17.25.14United States
AS13335Cloudflare, Inc.
15162.247.243.39United States
AS54113Fastly, Inc.
15142.251.127.113Japan
1557.144.110.128Warsaw, Mazovia, Poland
AS32934Facebook, Inc.
15192.178.183.94United States
AS15169Google LLC
1535.75.149.53Tokyo, Tokyo, Japan
AS16509Amazon.com, Inc.
15192.178.183.97United States
AS15169Google LLC
1513.33.111.143New York, New York, United States
AS16509Amazon.com, Inc.
153.5.157.92UnknownUnknown
15910--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115F328B6A180383B15B322D8F4671BA6B0F7641DD46309216EFCCAF917C9D44F66386E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wxRpgvRRvF8Xbouv93fbQ1ulqBgJVQhCS8T0xKU3XKBeN3XKBk3XKBuV3XKB53XA:SivRRvO8uVzQ10JVQhCS8T0xKTeHl78s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165326:0OWYkUxMFCggCWA6ICx4A1gkDQSSgGSSCAJJChlRVRSAtSDApEiBZIQ34iJAxFtEmQELEB6cRKDLMSGZkShCUJPBcAhIMA6w

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:00ffc3c7c7fffffb
Perceptual Hash:b033cdcf32304d4f
Difference Hash:38249e9d8d4c3036
Wavelet Hash:00c7c187c7e79f91
Color Hash:#9740bf

Scan History

Scan history not available

Unable to load historical scan data