Security Scan Report: mailchi.mp

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Submitted: Jul 15, 2026, 3:13:02 PMCompleted: Jul 15, 2026, 3:14:30 PMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 1 HTTP transaction. The main domain is mailchi.mp.

Submitted URL: https://mailchi.mp/967acec771bc/gaven-din-venter-fortsatt?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

Gaven din venter fortsatt

Scan Type

public

Language

🇳🇴

Norwegian

(57% confidence)

Category

social media network

(64%)

Domain Information

The domain 'mailchi.mp' uses the .mp country-code top-level domain with no subdomain. Its registrable label 'mailchi' stretches across 7 characters with three vowels and four consonants. Segmentation suggests 2 words: mail, chi. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mailchi.mp/967acec771bc/gaven-din-venter-fortsatt?e=e061ddc635

Page Load Overview

1.32s
Total Load Time
15
HTTP Requests
10
Domains
7.5 MB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:no
Detection Confidence:57%
Script Type:Latin
Text Length:1,325 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
64%
e-commerce shopping
56%
government public service
48%
documentation technical
46%
news media journalism
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
323.215.20.112Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
223.208.149.125Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
252.222.206.37Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
23.5.218.224Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
2172.217.208.95Google · CDNUnited States
AS15169Google LLC
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
157--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0C2A853E690472A78AAC050D5E6E0CE901056DB7E798DC1FD8C2D73EFC7A670B1839A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+0oySLzoUvJ7+sDXmLfUHtY3N4HfgjhDjQQC7pYVOYmb6CuB65eZCl6Aez+1QuKI:JoGUvJ7+KX7i9mfglKYc3bu1zWxs9Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25820:qZiEhEATBBkfAUSSMhSBBCBUGHCAKIbgXAYCAigWixAgEFmJCEJH0DAAEAgADDB9IE5ZA1eYIHKxCAnAphFSOCKJBCVoAglI

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:ffffc7c3c3e7c7c3
Perceptual Hash:b6c99bce23992c64
Difference Hash:aa68968e8e848c8e
Wavelet Hash:3eeec2c2c2c3c3c3
Color Hash:#2d8637

Scan History

Scan history not available

Unable to load historical scan data