Security Scan Report: collectandgo.be

Redirected to: https://www.collectandgo.be/nl/home

Submitted: Mar 14, 2026, 1:15:02 PMCompleted: Mar 14, 2026, 1:16:50 PMpubliccompleted
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Summary

This website contacted 11 IPs in 4 countries across 14 domains to perform 150 HTTP transactions. The main domain is collectandgo.be and was registered NaN years ago.

Submitted URL: https://collectandgo.be

Effective URL: https://www.collectandgo.be/nl/homeRedirected

The Cisco Umbrella rank of the primary domain is #374,162 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (registered 1999‑04‑01)
No credential or payment forms present
Meta description aligns with legitimate service offering
No malicious Indicators of Compromise
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

Online boodschappen doen in België | Collect&Go

Scan Type

public

Language

🇳🇱

Dutch

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the Belgian country-code top-level domain (.be), 'collectandgo.be' is registered while skipping any subdomain. The second-level label 'collectandgo' is 12 characters long with four vowels and 8 consonants. It segments into 3 words: collect, and, go. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://collectandgo.be

Page Load Overview

6.73s
Total Load Time
159
HTTP Requests
18
Domains
5.9 MB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:nl
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:nl
Text Length:7,695 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
1963.140.62.210United States
AS16509Amazon.com, Inc.
14146.75.123.52Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1423.36.162.209Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1416.170.145.170Stockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
14104.18.86.42United States
AS13335Cloudflare, Inc.
14151.101.207.52Amsterdam, North Holland, Netherlands
AS54113Fastly, Inc.
14184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
14142.251.36.106United States
AS15169Google LLC
1452.209.114.255UnknownUnknown
1413.33.187.58UnknownUnknown
15911--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168D42AF8E1B411F4500BC7F8E5327AB4313B39A6DF868265F39C1F84BBD18AC5929946

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:mWb7UuL2kscbw1bUl7Tgdrp/T17vbPcDRaW:RbzH7lj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:607956:hC+USEhLAGisKQEmIoLZNCAARQCq4QpmSYSjhABVgQwBBRKqQwAYSCY+AkAogIHUmooW6ZQwJAhfYpNQhoLQeFMQTUAA86hA

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:7fff7fffff018381
Perceptual Hash:bcc13ec16b94639c
Difference Hash:c0b0b080c82b362b
Wavelet Hash:7efe0f7e6e008181
Color Hash:#8cd279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data