Summary
This website contacted 48 IPs in 3 countries across 11 domains to perform 22 HTTP transactions. The main domain is app.partnerboost.com and was registered NaN years ago.
Submitted URL: https://app.partnerboost.com/
The Cisco Umbrella rank of the primary domain is #94,297 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Management Platform - PartnerBoost
Scan Type
public
Language
English
Category
other
(38%)Domain Information
Domain 'app.partnerboost.com' uses the commercial generic top-level domain (.com), featuring subdomain 'app'. The second-level label 'partnerboost' is 12 characters long with 4 vowels and 8 consonants. Breaking it apart gives 2 words: partner, boost. Expect 6 characters per word on average. 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 |
|---|---|---|---|
| 22 | 34.209.147.79 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 7 | 163.181.92.201 | Frankfurt am Main, Hesse, Germany | AS24429Zhejiang Taobao Network Co.,Ltd |
| 3 | 146.75.120.176 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 3.174.46.103 | United States | AS16509AMAZON-02 |
| 1 | 172.105.196.206 | Tokyo, Tokyo, Japan | AS63949Akamai Connected Cloud |
| 1 | 23.215.17.68 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 142.250.185.227 | United States | AS15169GOOGLE |
| 1 | 142.251.140.168 | United States | AS15169GOOGLE |
| 22 | 48 | - | - |
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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