Security Scan Report: www.cdn-net.com

Submitted: Dec 4, 2025, 3:06:53 PMCompleted: Dec 4, 2025, 3:09:32 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cdn-net.com and was registered NaN years ago.

Submitted URL: https://www.cdn-net.com/

The Cisco Umbrella rank of the primary domain is #8,200 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns detected.

Safety Factors
Established domain with long registration history
High Cisco Umbrella ranking indicating reputable site
Absence of suspicious forms or data collection
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'www.cdn-net.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The second-level label 'cdn-net' is 7 characters long containing 1 vowel alongside five consonants, plus 1 hyphen. Tokenizing the label suggests 3 words: cd, n, net. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.cdn-net.com/

Page Load Overview

0.19s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:13 chars
Detector Agreement:0%

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
213.33.187.60New York, New York, United States
AS16509AMAZON-02
213.33.187.77New York, New York, United States
AS16509AMAZON-02
013.33.187.69New York, New York, United States
AS16509AMAZON-02
013.33.187.15New York, New York, United States
AS16509AMAZON-02
24--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD9002FE915242495D2135901EC113474815435A30324A1115806464950C56988821C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6q7FrKbBmz:qzxO96aObBmz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:04df56d5411fcbea0d70f1f8b1e24a53

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:7fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#64d22d

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data