Summary
This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is smbs.verify.co.jp.index.007ikm.help and was registered NaN years ago.
Submitted URL: https://www.smbs.verify.co.jp.index.007ikm.help/ja/
AI Security Verdict
High Risk
Confidence: 78%
New, unranked site flagged for social engineering – treat as high‑risk phishing.
Risk Factors
Details
Page Title
403 Forbidden
Scan Type
public
Language
UNKNOWN
Category
unknown
(0%)Domain Information
You're looking at domain 'www.smbs.verify.co.jp.index.007ikm.help' on the .help top-level domain with subdomain 'www.smbs.verify.co.jp.index'. The core label '007ikm' covers 6 characters with 1 vowel and two consonants; it also includes three digits. Word splitting yields three words: 007, i, km. The median word length lands at 2 characters. Most frequently, 'i' shows up in English. You will also see it in Chinese (Pinyin) and Bosnian contexts. Net impression: English phrase with character flair.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 4 | 152.32.147.201 | Tokyo, Tokyo, Japan | AS135377UCLOUD INFORMATION TECHNOLOGY HK LIMITED |
| 4 | 1 | - | - |
Detected Technologies1
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data