Security Scan Report: mailchi.mp

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Submitted: Oct 9, 2025, 10:32:45 AMCompleted: Oct 9, 2025, 10:34:09 AMpubliccompleted
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Summary

This website contacted 44 IPs in 2 countries across 8 domains to perform 13 HTTP transactions. The main domain is mailchi.mp.

Submitted URL: https://mailchi.mp/2f2c02529d9e/kun-til-fredag-40-p-aluplate-16105020?e=e061ddc635

The Cisco Umbrella rank of the primary domain is #74,504 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Reputable hosting and domain reputation
No suspicious redirects or external links
No collection of sensitive data
Domain age information unavailable

Details

Page Title

⏰ Kun til søndag: Fotokalender til 149,- (før 299,-)

Scan Type

public

Language

🇧🇬

BG

(43% confidence)

Category

unknown

(0%)

Domain Information

Domain 'mailchi.mp' uses the .mp country-code top-level domain without a subdomain. The second-level label 'mailchi' is 7 characters long split between 3 vowels and four consonants. Tokenizing the label suggests 2 words: mail, chi. Expect 3.5 characters per word on average. 'mail' is most common in Italian usage. It also appears in Vietnamese and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://mailchi.mp/2f2c02529d9e/kun-til-fredag-40-p-aluplate-16105020?e=e061ddc635

Page Load Overview

33.76s
Total Load Time
13
HTTP Requests
8
Domains
188 KB
Total Size

Language Analysis

Primary Language

🇧🇬BG
Code: bg
Confidence:43%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bg
Detection Confidence:43%
Script Type:Unknown
Text Length:4,219 chars
Detector Agreement:50%

All Detected Languages

🇧🇬bg(100%)🇸🇦ar(0%)

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1313.226.244.3United States
AS16509AMAZON-02
023.56.205.107Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
0142.250.186.155United States
AS15169GOOGLE
0142.250.185.72United States
AS15169GOOGLE
099.84.152.62United States
AS16509AMAZON-02
023.41.180.125Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
0172.217.18.14United States
AS15169GOOGLE
0142.250.184.234United States
AS15169GOOGLE
013.226.244.58United States
AS16509AMAZON-02
0216.58.212.155United StatesUnknown
1344--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5132035E9C0211E5C2E8D60A9E576CDD92801D7DBE64C88FC0DD637FBE09617A283B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:po61xZ5asFAnUN7nY4sKYQQNffMePaHvp8qQNYodyElC8xs9Q:phghUqDQQNffMTkACCYs9Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44881:QgsCYCoZgEq4IoQERCgSECGpAMUYJ8IDKFIAK0BJMDGQBMhAoGAo4BZAAEhBJhFSHQMIIZlp6IYSBMFUMgUAUkAMCYiAJmEC

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:e7c3c3c7cfffc3c3
Perceptual Hash:b0c7649b939bcc64
Difference Hash:8e8e969e9eb29696
Wavelet Hash:42c3c3c3c3dbc3c3
Color Hash:#d2592d

Scan History

Scan history not available

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