Security Scan Report: kristinchenoweth.komi.io

Submitted: Nov 20, 2025, 2:01:11 PMCompleted: Nov 20, 2025, 2:04:04 PMpubliccompleted
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Summary

This website contacted 128 IPs in 2 countries across 26 domains to perform 182 HTTP transactions. The main domain is kristinchenoweth.komi.io.

Submitted URL: https://kristinchenoweth.komi.io/

The Cisco Umbrella rank of the primary domain is #391,900 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Phishing page impersonating Adobe on a low‑ranked, likely new domain; avoid.

Risk Factors
Brand impersonation/typosquatting (Adobe) on an unrelated low‑ranked domain
Low Cisco Umbrella ranking for a site claiming a well‑known brand
Potentially newly registered domain with no established reputation
Domain age information unavailable

Details

Page Title

Kristin Chenoweth

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(81%)

Domain Information

Domain 'kristinchenoweth.komi.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'kristinchenoweth'. Count 4 characters in 'komi' holding 2 vowels versus 2 consonants. Segmentation suggests 1 word: komi. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kristinchenoweth.komi.io/

Page Load Overview

7.41s
Total Load Time
182
HTTP Requests
26
Domains
5.1 MB
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:2,948 chars
Detector Agreement:50%

Website Classification

Primary Category

education learning81% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
81%
entertainment media
77%
adult content
48%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
74172.66.43.52United States
AS13335CLOUDFLARENET
28142.250.74.214United States
AS15169GOOGLE
152.16.241.71Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
12146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
122.22.50.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
12146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113FASTLY
73.174.47.131United States
AS16509AMAZON-02
452.217.43.76Ashburn, Virginia, United States
AS16509AMAZON-02
354.187.159.182Boardman, Oregon, United States
AS16509AMAZON-02
2216.58.206.72United States
AS15169GOOGLE
182128--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF34B6F87D51067BF2B748A6B325E21EB25BC02F8B1EE814B1D432A947D4FE5C835291

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:quliJ+OPghwaL4Jnnl+xL58x2uzz95W5GhBaYtBq3a49CjjnAPCorU018LrmQEL+:ZCNqmvZ5bx/2c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:247127:EAAJDEILKEwXokhAFgICgDIJCANCOQeBgwUAVMkqwlKFHCCFIAEA3hIATEcEApUkSwBQQJlwwAIAkhglFkCdLiCRgDwFBoB0

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:3c3c2424243c3c3c
Perceptual Hash:db2659ac75ac7026
Difference Hash:6169696969697978
Wavelet Hash:3d3c2d25253d3c3c
Color Hash:#93381f

Scan History

Scan history not available

Unable to load historical scan data