ScanMalware.com

Security Scan Report: bundler.nice-team.net

Redirected to: https://bundler.nice-team.net/site/index.html

Submitted: Nov 27, 2025, 6:39:22 AMCompleted: Nov 27, 2025, 6:42:18 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 3 domains to perform 12 HTTP transactions. The main domain is bundler.nice-team.net.

Submitted URL: https://bundler.nice-team.net/

Effective URL: https://bundler.nice-team.net/site/index.htmlRedirected

The Cisco Umbrella rank of the primary domain is #25,179 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms present
Domain ranking within top 100k (25179) suggests moderate reputation
No brand impersonation on final URL
Domain age information unavailable

Details

Page Title

Shopify bundle app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(50%)

Domain Information

The domain 'bundler.nice-team.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'bundler'. Its registrable label 'nice-team' stretches across 9 characters holding 4 vowels versus 4 consonants; it also includes 1 hyphen. Word splitting yields 2 words: nice, team. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bundler.nice-team.net/

Page Load Overview

0.45s
Total Load Time
12
HTTP Requests
3
Domains
1.3 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:4,180 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping50% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
50%
technology software
43%
social media network
35%
documentation technical
33%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.21.31.208United States
AS13335CLOUDFLARENET
1172.67.179.246United States
AS13335CLOUDFLARENET
1142.250.186.42United States
AS15169GOOGLE
1142.250.185.99United States
AS15169GOOGLE
12606:4700:3032::6815:1fd0United States
AS13335CLOUDFLARENET
12a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
12606:4700:3031::ac43:b3f6United States
AS13335CLOUDFLARENET
12a00:1450:4001:81c::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
128--

Detected Technologies2

X-UA-Compatible
100%
Bootstrapv4.3.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4128595C49C3DBA01031272710927CDE66F4C7CCAA3C5A6B8F7C31413B9E936A6765A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:uJb8WGugAIx/bgJ72PSL+R3/jP4sL+TyR6Wh0xQn:ArVIxzgJ72PM+R3/jtAmlh0xQn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9361:A0CBMQgH6xYoV6RIFSAbiEUDmAA5EltBhSlSI8AVEgNKWaE0ZZowmgOBgAgIGBghjgSqBxgQkwaAAmCAjuYMUKRA0TgCJiLI

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:ed84008361e7c7fd
Perceptual Hash:f23bdae183bde002
Difference Hash:49090d4bcf0d1ced
Wavelet Hash:ed8d0001e1e7c7f5
Color Hash:#2d8633

Other Hashes

Crop Resistant:49090d4bcf0d1ced,939393964c4db79a,6161a5a606b6a7a4

Scan History

Scan history not available

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