Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is auto-traders.pages.dev and was registered NaN years ago.
Submitted URL: https://auto-traders.pages.dev/sell-accident-car-toronto-fast/
AI Security Verdict
Low Risk
Confidence: 78%
Site shows its own brand, contains no forms or malicious indicators, and lacks any IoC or malware evidence; overall low risk.
Risk Factors
Safety Factors
Details
Page Title
Cash for Accident Cars in Toronto | Auto Traders Canada
Scan Type
public
Language
English
Category
finance banking
(83%)Domain Information
The domain 'auto-traders.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'auto-traders'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. Tokenizing the label suggests 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.
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 | 172.217.208.95Google · CDN | United States | AS15169Google LLC |
| 4 | 172.66.47.195Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 8 | 2 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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