Summary
This website contacted 14 IPs in 3 countries across 6 domains to perform 176 HTTP transactions. The main domain is files.appsear.shop and was registered NaN years ago.
Submitted URL: https://files.appsear.shop/item-g1kn9hcwoc.html
AI Security Verdict
Moderate Risk
Confidence: 70%
Site shows moderate risk due to new, unranked domain impersonating a known brand, but lacks credential or payment collection.
Risk Factors
Safety Factors
Details
Page Title
ヤマハミニトレGT50/80フロントタイヤ+チューブ250/15(オフロード)|売買されたオークション情報、yahooの商品情報をアーカイブ公開 - オークファン
Scan Type
public
Language
Japanese
Category
entertainment media
(64%)Domain Information
The domain 'files.appsear.shop' uses the commerce-oriented generic top-level domain (.shop) with subdomain 'files'. Count 7 characters in 'appsear' split between three vowels and 4 consonants. Breaking it apart gives 2 words: apps, ear. Average segment length settles at 3.5 characters. 'apps' most often appears in English. Usage also turns up in Chinese (Pinyin) and Danish contexts. Taken together, it feels English.
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 |
|---|---|---|---|
| 163 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 12 | 18.245.46.68 | United States | AS16509AMAZON-02 |
| 12 | 43.174.229.36 | Singapore | AS139341ACE |
| 12 | 142.250.186.35 | United States | AS15169GOOGLE |
| 12 | 18.245.46.8 | United States | AS16509AMAZON-02 |
| 12 | 142.250.184.227 | United States | AS15169GOOGLE |
| 12 | 2a06:98c1:3120::3 | United States | AS13335CLOUDFLARENET |
| 12 | 2a00:1450:4001:828::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 12 | 2a06:98c1:3121::3 | United States | AS13335CLOUDFLARENET |
| 12 | 18.245.46.116 | United States | AS16509AMAZON-02 |
| 176 | 14 | - | - |
Detected Technologies8
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
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