Security Scan Report: mailchi.mp

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Submitted: Dec 30, 2025, 10:40:03 AMCompleted: Dec 30, 2025, 10:41:12 AMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 8 domains to perform 23 HTTP transactions. The main domain is mailchi.mp.

Submitted URL: https://mailchi.mp/c84d487dcf75/mtesnyheter-frn-tjrnbro-arena-6426922?e=5082020400

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

The page is a legitimate newsletter link with no security concerns.

Safety Factors
Reputable email marketing service domain
Content appears to be a standard newsletter with no suspicious links
Domain age information unavailable

Details

Page Title

Tack 2025!

Scan Type

public

Language

🇸🇪

Swedish

(41% confidence)

Category

social media network

(72%)

Domain Information

The domain 'mailchi.mp' uses the .mp country-code top-level domain while skipping any subdomain. The core label 'mailchi' covers 7 characters split between 3 vowels and 4 consonants. Breaking it apart gives two 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/c84d487dcf75/mtesnyheter-frn-tjrnbro-arena-6426922?e=5082020400

Page Load Overview

2.50s
Total Load Time
23
HTTP Requests
8
Domains
2.8 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:41%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:41%
Script Type:Latin
Text Length:8,807 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network72% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
72%
news media journalism
55%
healthcare medical
51%
finance banking
45%
government public service
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1265.8.131.78United States
AS16509AMAZON-02
113.226.244.3United States
AS16509AMAZON-02
113.226.244.85United States
AS16509AMAZON-02
135.244.179.46Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
123.56.205.107Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
123.41.180.125Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1142.251.140.170United States
AS15169GOOGLE
1172.217.23.99United States
AS15169GOOGLE
113.226.244.58United States
AS16509AMAZON-02
1142.250.184.202United States
AS15169GOOGLE
2312--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T127937561EB80341E582F8CA8D4A07ED8D56441CBDB930D99FC0AD137EED88B576293BD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tfKKi2+gKpgeV1UpLQMKISmXPsulRlklpluGlNwos9Q:tfzi2+iBbWzuc/L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:95391:SkZMYBokBJIJEUGjZFIBclYaEEZVggQoKMYgCGpSSsCExAUEhgAC2AgaYKa+kE5HMmAKCMAYweSBmwAsSGJIEyICQkiEQo/s

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:ffe7e7f7f3e3c3e7
Perceptual Hash:e69b996698996698
Difference Hash:884d4d67674e0e0d
Wavelet Hash:ffc7c3e303230303
Color Hash:#73e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data