Security Scan Report: mailchi.mp

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Submitted: Jul 15, 2026, 7:57:11 AMCompleted: Jul 15, 2026, 7:58:42 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is mailchi.mp.

Submitted URL: https://mailchi.mp/9ef5af89b9e7/fra-hyttedr-til-enebolig?e=e061ddc635

The Cisco Umbrella rank of the primary domain is #61,506 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #61,506.

Safety Factors
Well-established domain (ranked #61,506)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

Fra hyttedør til enebolig

Scan Type

public

Language

🇳🇴

Norwegian

(44% confidence)

Category

e-commerce shopping

(50%)

Domain Information

The domain 'mailchi.mp' uses the .mp country-code top-level domain while skipping any subdomain. Count 7 characters in 'mailchi' containing 3 vowels alongside 4 consonants. Splitting it apart reveals 2 words: mail, chi. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mailchi.mp/9ef5af89b9e7/fra-hyttedr-til-enebolig?e=e061ddc635

Page Load Overview

1.15s
Total Load Time
17
HTTP Requests
9
Domains
468 KB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:44%
Script:Latin
Direction:ltr

Detection Details

Language Code:no
Detection Confidence:44%
Script Type:Latin
Text Length:1,688 chars
Detector Agreement:75%

Website Classification

Primary Category

e-commerce shopping50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
50%
documentation technical
38%
real estate property
35%
adult content
30%
finance banking
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
723.208.149.125Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
23.5.216.94Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
2142.251.13.97Google · CDNUnited States
AS15169Google LLC
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
223.215.20.112Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
274.125.29.95Google · CDNUnited States
AS15169Google LLC
176--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BBE29662E6D0472A742AC060A5D1B4DE501046EBBEBA4980FE8D5973EFDBD771B0039F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+Nkoy1FLzoU97uE7HOzPk/lY/NYn/w7hTjAQipYVOYmb6evnNeZrMDnU2FiF4FFs:0koGSU97uCHLS1e/w9kYc3bxnszbxs9Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32631:jOIZoIKY3hUcDcGQoqEAIwFBk8KACIgsNVoAQO6pHeGY8ClEoIhUAkAAAsFQAqEAogYJLKAIEJqBI0AhMeUzMJQGIFSDA0QG

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

Average Hash:ffffffc3c3e7e7e7
Perceptual Hash:b3cccf332433cc31
Difference Hash:ea6a608e8c4d4c4d
Wavelet Hash:18eee6c2c3c3c3c3
Color Hash:#65783a

Scan History

Scan history not available

Unable to load historical scan data