Security Scan Report: app.coocent.net

Submitted: Jan 6, 2026, 6:57:06 AMCompleted: Jan 6, 2026, 6:58:49 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is app.coocent.net and was registered NaN years ago.

Submitted URL: https://app.coocent.net

The Cisco Umbrella rank of the primary domain is #214,529 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Well‑established domain with long registration history
Absence of suspicious forms or data collection fields
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(41%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'app.coocent.net' is registered with subdomain 'app'. The core label 'coocent' covers 7 characters with three vowels and 4 consonants. Breaking it apart gives two words: coo, cent. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.coocent.net

Page Load Overview

1.60s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:656 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical41% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
41%
adult content
38%
cryptocurrency blockchain
31%
technology software
28%
healthcare medical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.159.94.176Singapore
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E61A5A5DAA305B59077C4E01BFF776632EAD03BD696A119E79C5388CFCDE40BC12904

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:niFWN15AN427zKkqwxczguVPAu4Egu3LuveuuiV7uuwid29tF:niFWN15eVGvk8P94Ed36v7XVq4m7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3433:AGAgVAAEAIgABAAIGQEAkIgQZEgIgAAgAAAIIIRSAoFAJBAMAECoATBAEAAFgQAAgBACgAACECnAYKgACIAQAQCAEAACABAR

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:8c0e0e0f0f3f7978
Difference Hash:f0e0000000000000
Wavelet Hash:001fffff00000000
Color Hash:#5f931f

Other Hashes

Crop Resistant:f0e0000000000000

Scan History

Scan history not available

Unable to load historical scan data