Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is sp5ct-ramev-biz8-surex-kolin.pages.dev and was registered 5 years ago.
Submitted URL: https://sp5ct-ramev-biz8-surex-kolin.pages.dev/
AI Security Verdict
High Risk
Confidence: 72%
The site shows a Cloudflare malware warning but lacks concrete malicious signals; treat as moderately risky.
Risk Factors
Details
Page Title
Suspected Malware | Cloudflare
Scan Type
public
Language
English
Category
technology software
(60%)Domain Information
The domain 'sp5ct-ramev-biz8-surex-kolin.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sp5ct-ramev-biz8-surex-kolin'. The second-level label 'pages' is 5 characters long with two vowels and three consonants. Splitting it apart reveals 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 |
|---|---|---|---|
| 5 | 104.18.94.41Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 172.66.45.12Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 10 | 2 | - | - |
Page Statistics
Detected Technologies5
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