Security Scan Report: kris.cloudminttea.com

Site favicon
Submitted: Feb 5, 2026, 7:52:33 AMCompleted: Feb 5, 2026, 7:54:04 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is kris.cloudminttea.com and was registered NaN years ago.

Submitted URL: http://kris.cloudminttea.com/redirect.html/?n=b2Q9MXN5cTY5N2I4ZjIyMmRkNjBfdmxfZnJlc2h2bF8xOGQ1&l=NmxpZG5j&z=UzAwbWRyZnVqMDIycTVuMDF5X3hjMTU5Nw%3D%3D&c=ZnVqMDI%3D&w=X3hj&v=ZnVqMDI%3D&t=X3hj&s=X3hj&m=ZnVqMDI%3D&y=ZnVqMDI%3D&b=ZnVqMDI%3D&d=&p=ZnVqMDI%3D&r=&o=X3hj&i=ZnVqMDI%3D&h=&u=&x=MmJ0czQtMzh1dXN0MA==4u6Nvi

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

Site shows a circular redirect and is a newly registered, unranked domain, but no malicious content or credential forms detected.

Risk Factors
Circular redirect indicates possible URL manipulation
Newly registered domain (<90 days) often used for malicious campaigns
Unranked domain may lack established reputation
Safety Factors
No forms collecting credentials or payment information
No malicious Indicators of Compromise matches found
No JavaScript malware patterns detected
No external domains linked from the page
No brand impersonation observed
Domain age information unavailable

Details

Page Title

kris.cloudminttea.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

Within the commercial generic top-level domain (.com), 'kris.cloudminttea.com' is registered with subdomain 'kris'. Count 12 characters in 'cloudminttea' split between five vowels and seven consonants. Breaking it apart gives 3 words: cloud, mint, tea. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://kris.cloudminttea.com/redirect.html/?n=b2Q9MXN5cTY5N2I4ZjIyMmRkNjBfdmxfZnJlc2h2bF8xOGQ1&amp;l=NmxpZG5j&amp;z=UzAwbWRyZnVqMDIycTVuMDF5X3hjMTU5Nw%3D%3D&amp;c=ZnVqMDI%3D&amp;w=X3hj&amp;v=ZnVqMDI%3D&amp;t=X3hj&amp;s=X3hj&amp;m=ZnVqMDI%3D&amp;y=ZnVqMDI%3D&amp;b=ZnVqMDI%3D&amp;d=&amp;p=ZnVqMDI%3D&amp;r=&amp;o=X3hj&amp;i=ZnVqMDI%3D&amp;h=&amp;u=&amp;x=MmJ0czQtMzh1dXN0MA==4u6Nvi

Page Load Overview

8.08s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:759 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
58%
adult content
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3162.217.100.111United States
AS32475Internap Holding LLC
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C048F77329A063986558498E05B830D9F21B143F506C97C79BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SfQho9PKBb9Js3q9Jzbs6tlg1ySBKwdQWgceIsz72bMy8OldO:JhoC9JSqzzbs6okSj3gcrsX2eAY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187973:9GFvSImQoiAaiIYERCEhCXyjTgAETBoKDSAQAAhISBECBgbKAXYTLDQEOZFCDCYNHAVcAKspMO5JnvyiIUVBJBQNCYDAQBPo

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:3c1c0404003c3030
Color Hash:#c59987

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data