Security Scan Report: join.bimcollab.com

Redirected to:
https://my.bimcollab.com/?returnurl=https%3A%2F%2Fjoin.bimcollab.com%2...
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Submitted: Jun 29, 2026, 4:15:15 PMCompleted: Jun 29, 2026, 4:16:49 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is my.bimcollab.com and was registered NaN years ago.

Submitted URL: https://join.bimcollab.com

Effective URL: https://my.bimcollab.com/?returnurl=https%3A%2F%2Fjoin.bimcollab.com%2FuniverseRedirected

The Cisco Umbrella rank of the primary domain is #267,619 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

Moderate risk due to obfuscated scripts and redirects, but no credential harvesting or known malicious indicators.

Risk Factors
High JavaScript obfuscation and dynamic code execution
Multiple redirects may indicate URL manipulation
Low Cisco Umbrella ranking for a brand‑named domain
Safety Factors
Established domain age (over 12 years)
No credential or payment collection fields
No Indicators of Compromise, YARA malware matches, or IDS alerts
Self‑branding (subdomain of official bimcollab.com) rather than impersonation
Domain age information unavailable

Details

Page Title

BIMcollab ID

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(90%)

Domain Information

The domain name 'join.bimcollab.com' uses the commercial generic top-level domain (.com) with subdomain 'join'. The second-level label 'bimcollab' is 9 characters long containing 3 vowels alongside six consonants. Breaking it apart gives 3 words: bim, colla, b. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://join.bimcollab.com

Page Load Overview

1.72s
Total Load Time
92
HTTP Requests
27
Domains
3.0 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:3,088 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
90%
documentation technical
88%
technology software
88%
blog personal website
86%
news media journalism
81%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32213.206.236.73Amsterdam, North Holland, Netherlands
AS9150ML Consultancy
302.23.7.48Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
30212.83.210.165Rosmalen, North Brabant, Netherlands
AS9150ML Consultancy
923--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B772E6737C45163E02E351D6F1B7EB0AB1A1910CCA80841579FD86B93FD9CA268277EB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:x02pZdOPzRR0W5xuvQLe1JmWvBUBtkgvdLVWJAQmYlG2oQT0yLK+8sk:xdcLRR0W5xuvQLe1JmW5W6ogR3m+8sk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16035:LCBCEVFAhxCCo44uDho4IEFOAtDOo4haUJAYGgAAIJBSgDAfAGKAEDfLAAFNEfNJSDtDqoIDdEhIxAaCgA8hBBcVUYwkaMiI

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:fef5f0bcbcf0f0f0
Perceptual Hash:ceb364d39be46421
Difference Hash:4429237179202524
Wavelet Hash:f4f190bcbc90f0f0
Color Hash:#d279bb

Scan History

Scan history not available

Unable to load historical scan data