Summary
This website contacted 14 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is sienna-knowledge-912497.framer.app.
Submitted URL: https://sienna-knowledge-912497.framer.app/
AI Security Verdict
High Risk
Confidence: 82%
High‑risk phishing site; do not trust or interact
Risk Factors
Details
Page Title
Site Not Found | Framer
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain name 'sienna-knowledge-912497.framer.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'sienna-knowledge-912497'. The second-level label 'framer' is 6 characters long containing 2 vowels alongside 4 consonants. Word splitting yields one word: framer. 'frame' is most common in English usage. Secondary signals appear in Chinese (Pinyin) and French. Net impression: English phrase with single-word simplicity.
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 | 18.173.205.73 | United States | AS16509AMAZON-02 |
| 0 | 52.223.52.2 | United States | AS16509AMAZON-02 |
| 0 | 18.173.205.66 | United States | AS16509AMAZON-02 |
| 0 | 35.71.142.77 | United States | AS16509AMAZON-02 |
| 0 | 2600:9000:2724:b000:d:ada1:a280:93a1 | United States | AS16509AMAZON-02 |
| 0 | 18.173.205.84 | United States | AS16509AMAZON-02 |
| 0 | 2600:9000:2724:7000:d:ada1:a280:93a1 | United States | AS16509AMAZON-02 |
| 0 | 2600:9000:2724:1800:d:ada1:a280:93a1 | United States | AS16509AMAZON-02 |
| 0 | 2600:9000:2724:9e00:d:ada1:a280:93a1 | United States | AS16509AMAZON-02 |
| 0 | 2600:9000:2724:ac00:d:ada1:a280:93a1 | United States | AS16509AMAZON-02 |
| 4 | 14 | - | - |
Detected Technologies4
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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