Security Scan Report: eikaiwa.dmm.com

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Submitted: Completed: publiccompleted
This website contacted 86 IPs in 5 countries across 52 domains to perform 187 HTTP transactions. The main domain is dmm.com and was registered 31 years ago.

Submitted URL: https://eikaiwa.dmm.com/blog/learning-english/english-usage/what/

The Cisco Umbrella rank of the primary domain is #153,613 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate DMM英会話 blog article explaining English usage of 'what'. Established domain, no credential or payment forms, no threat-intelligence, hunting rule or phishing IDS hits.

Safety Factors (5)
Long-established 31-year-old domain
Self-branded article page matching its own domain
No credential, login or payment collection
No Indicators of Compromise, hunting rule or IDS malware/phishing alerts
Content classifier: education/learning (83%)
Domain age information unavailable

Details

Page Title

「何?」だけじゃない「what」の意味と使い方を徹底解説 | DMM英会話ブログ

Scan Type

public

Domain Name Analysis

You're looking at domain 'eikaiwa.dmm.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'eikaiwa'. Its registrable label 'dmm' stretches across 3 characters split between 0 vowels and three consonants. Tokenizing the label suggests two words: d, mm. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eikaiwa.dmm.com/blog/learning-english/english-usage/what/

Page Load Overview

7.85s
Total Load Time
3.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ja
Text Length:3,424 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning83% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
83%
entertainment media
66%
blog personal website
63%
government public service
61%
news media journalism
58%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1735.74.121.82Aws · CLOUDTokyo, Tokyo, Japan
AS16509Amazon.com, Inc.
254.150.225.249Aws · CLOUDTokyo, Tokyo, Japan
AS16509Amazon.com, Inc.
2142.251.20.97Google · CDNUnited States
AS15169Google LLC
218.66.147.26Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
213.33.50.183Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
2108.138.7.103Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
265.9.130.75Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2157.240.0.63Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2216.239.32.36Google · CDNUnited States
AS15169Google LLC
2142.251.127.157Google · CDNUnited States
AS15169Google LLC
18786--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11BE35A765805C8365F3245E4E8B2F248E069A11BEA46DAB5B1FCC02472C4EE78773A7C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WdT5zUwUnz10GVTITFa4l2Mu3kVqOFgF1d6X8:uT+wU2i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:146663:SyAKwQBJNAAJUQHSoBjgaQgTAoCDSIMSiVMEHCqAEwEkDgRGcOUSwaBfShEDtgACkDsy0MNRgdIQVAIxkCiBEoYCpEERBN+R

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:ffc3ffffc7c3c3c3
Perceptual Hash:b1ce3931c69b229b
Difference Hash:849696619e9e9a96
Wavelet Hash:7fc3c3d3c1c1c1c1
Color Hash:#40acbf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data