Summary
API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/22b4ebf9-bad6-48a7-898d-e2667611ad63Domain and IP registration (RDAP)/api/v1/rdap/22b4ebf9-bad6-48a7-898d-e2667611ad63How often this domain was scanned/api/v1/domain/stats/tokanimt-cdnm-gf.latScan history for this domain/api/v1/domain/history/tokanimt-cdnm-gf.lat?limit=15This website contacted 1 IP in 1 country across 1 domain to perform 27 HTTP transactions. The main domain is tokanimt-cdnm-gf.lat and was registered 2 weeks ago.
Submitted URL: https://tokanimt-cdnm-gf.lat/
AI Security Verdict
High Risk
Confidence: 85%
8
Risk Score
Fake imToken wallet page hosted on an unrelated, unranked .lat domain. No form or malicious script observed, but the brand impersonation is clear-cut — do not connect a wallet or enter any data.
Risk Factors (4)
Impersonation of a different entity's brand (imToken) on a non-official domain
Deceptive hostname unrelated to the claimed brand
Domain has no reputation and is not present in Cisco Umbrella rankings
Cloned marketing copy and footer copyright ('IMTOKEN PTE. LTD.') used to fabricate authenticity
Domain age information unavailable
Details
Page Title
imToken | Ethereum & Bitcoin Wallet
Scan Type
public
Screenshot
Page Load Overview
2.26s
Total Load Time
274 KB
Total Size
Language Analysis
Primary Language
🇨🇳Chinese
Code: zhConfidence:60%
Script:Han
Direction:ltr
Detection Details
HTML Lang Attribute:zh-CN
Text Length:703 chars
Detector Agreement:40%
Website Classification
Primary Category
cryptocurrency blockchain65% confidence
Type: static
Method: ml+structural
All Detected Categories
cryptocurrency blockchain
65%
finance banking
35%
cryptocurrency
30%
Detected Features
No structural features detected
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 27 | 149.88.95.146 | Kwai Chung, Kwai Tsing District, Hong Kong | AS401696cognetcloud INC |
| 27 | 1 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focused
Specialized for malware detection and similarity analysis
T161129533A4A07A37134349EAB576576DB1D3460EC6B61C08A3FD87C58BD1ED9CE23806
ssdeep (Context Triggered Piecewise Hashing)
Context-aware
Detects similar content even with modifications
192:jHP/3peB9Eo58+zmpAQPIRknOONzfATzB1G7mu3hMkzXhb:T/69Ei8+gAQPEkjhMkzX9
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:9300:gDAeiHEAZoU+BjAQCySjB4I8AKQXQoEQiSpUyKhL3AGSlEGAqghyRIzgLQADQIaJcCVAEzweBBBhPAChAMwKHRjgKBYJRg8F
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:ffffffffff000000
Perceptual Hash:aced43869618e1ed
Difference Hash:24321235245371d5
Wavelet Hash:f7fbc3dfdf000000
Color Hash:#8a1f93
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data