Summary
This website contacted 44 IPs in 2 countries across 7 domains to perform 29 HTTP transactions. The main domain is mailchi.mp.
Submitted URL: https://mailchi.mp/3f03189828fa/wb7d5p83zt-13891714?e=7143dff9c4
The Cisco Umbrella rank of the primary domain is #74,504 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate marketing page hosted on a known Mailchimp domain; no phishing or scam indicators.
Safety Factors
Details
Page Title
And why?
Scan Type
public
Language
Swedish
Category
social media network
(63%)Domain Information
Within the .mp country-code top-level domain, 'mailchi.mp' is registered without a subdomain. The second-level label 'mailchi' is 7 characters long containing three vowels alongside 4 consonants. Tokenizing the label suggests 2 words: mail, chi. Median word length comes out to 3.5 characters. 'mail' is most common in Italian usage. Secondary signals appear in Vietnamese and Chinese (Zhuyin).
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 |
|---|---|---|---|
| 29 | 13.226.244.127 | United States | AS16509AMAZON-02 |
| 0 | 13.226.244.85 | United States | AS16509AMAZON-02 |
| 0 | 18.172.112.8 | United States | AS16509AMAZON-02 |
| 0 | 184.24.77.47 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 23.215.20.112 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 0 | 142.250.186.106 | United States | AS15169GOOGLE |
| 0 | 142.250.184.219 | United States | AS15169GOOGLE |
| 0 | 23.41.180.125 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 0 | 13.226.244.3 | United States | AS16509AMAZON-02 |
| 0 | 13.226.244.58 | United States | AS16509AMAZON-02 |
| 29 | 44 | - | - |
Detected Technologies9
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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