Summary
This website contacted 70 IPs in 4 countries across 22 domains to perform 75 HTTP transactions. The main domain is propel.app and was registered NaN years ago.
Submitted URL: https://www.propel.app/
AI Security Verdict
Safe Website
Confidence: 92%
The site appears legitimate with minimal risk; no phishing or malware indicators detected.
Safety Factors
Details
Page Title
Propel | Your benefits, made easier
Scan Type
public
Language
English
Category
finance banking
(78%)Domain Information
The domain name 'www.propel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www'. Its registrable label 'propel' stretches across 6 characters with two vowels and 4 consonants. Tokenizing the label suggests one word: propel. 'propel' most often appears in Danish. Usage also turns up in English and Chinese (Pinyin) contexts. Overall, 'www.propel.app' reads as Danish 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 |
|---|---|---|---|
| 6 | 2.16.1.11 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.185.104 | United States | AS15169GOOGLE |
| 1 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 104.19.148.8 | United States | AS13335CLOUDFLARENET |
| 1 | 18.245.86.69 | United States | AS16509AMAZON-02 |
| 1 | 2.16.1.97 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.3.68.8 | London, England, United Kingdom | AS20940Akamai International B.V. |
| 1 | 142.250.181.232 | United States | AS15169GOOGLE |
| 1 | 35.157.26.135 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 172.217.18.2 | United States | AS15169GOOGLE |
| 75 | 70 | - | - |
Detected Technologies10
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
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