Security Scan Report: cdn.appmate.io

Submitted: Dec 3, 2025, 11:35:36 PMCompleted: Dec 3, 2025, 11:37:34 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cdn.appmate.io and was registered NaN years ago.

Submitted URL: https://cdn.appmate.io/

The Cisco Umbrella rank of the primary domain is #29,882 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No credential or payment forms
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'cdn.appmate.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'cdn'. The registrable portion 'appmate' spans 7 characters split between three vowels and four consonants. Splitting it apart reveals two words: app, mate. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cdn.appmate.io/

Page Load Overview

0.21s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:226 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
234.160.37.66Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE4188A5EAA318651137C9F01AFE676632DBC037C19A2314FA9C6398DFC9D40B811901

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9HAk1ncqugukVPANyqgrtF:niFWN15AN427zHXczgumPANFgrtF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2376:ACAAEQAEAAQABAQMEQEBgIAABEkIAAAgAAAAIBACAoEABAIAAEKIARJAAABEAAQAABACAAJAEAlIACIACAAIAAAICAICAgAB

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:001fffffffffffff
Perceptual Hash:8f0f0f2f6b626262
Difference Hash:6970004000000000
Wavelet Hash:000fffff00000000
Color Hash:#3a7778

Other Hashes

Crop Resistant:6970004000000000

Scan History

Scan history not available

Unable to load historical scan data