Security Scan Report: app.busybees.com

Redirected to:
https://app.busybees.com/#/login
Site favicon
Submitted: May 13, 2026, 2:46:26 AMCompleted: May 13, 2026, 2:48:39 AMpubliccompleted

This website contacted 3 IPs in 2 countries across 4 domains to perform 12 HTTP transactions. The main domain is app.busybees.com and was registered 26 years ago.

Submitted URL: https://app.busybees.com

Effective URL:

https://app.busybees.com/#/login
Redirected

The Cisco Umbrella rank of the primary domain is #565,165 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site hosts a standard login form for its own brand, has an old reputable domain, and shows no malicious indicators.

Safety Factors (4)
Own brand matches domain
Long‑standing domain registration
No external credential exfiltration
No malicious JavaScript patterns
Domain age information unavailable

Details

Page Title

Busy Bees

Scan Type

public

Domain Name Analysis

The domain name 'app.busybees.com' uses the commercial generic top-level domain (.com), featuring subdomain 'app'. Its registrable label 'busybees' stretches across 8 characters containing three vowels alongside 5 consonants. Segmentation suggests two words: busy, bees. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.busybees.com

Page Load Overview

2.49s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Text Length:401 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical35% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
35%
technology software
30%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
413.226.244.60United States
AS16509Amazon.com, Inc.
465.9.175.4United States
AS16509Amazon.com, Inc.
4185.56.128.163Germany
AS25291SysEleven GmbH
123--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A7321EF74115141E1B225BCC36613A0CEA37825EFECE9CA4F57CA98A9F84EF2A418355

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:qmlWGuzc9jdm4mOqxn+6j5FCiUPsYKE4QvtzacoODmWWwYyrJetWUz1Jo5b5PqUn:qbGuzc9jdt+xn+6j5FCiUPsbExacoLLM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11138:gEQAPG4cFAmUaBUoegDguRRCsg0EwwAEEUcNCljD5inKQSegAXCaaUgvlISUCgTAdwAAsIQnkACJADjcOEISKoQIULQEwSMp

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:f9fdd8f8f8d8f0f8
Perceptual Hash:cdb2eb4d97483c14
Difference Hash:0301313032320210
Wavelet Hash:f8f8d0f0f890f0f0
Color Hash:#2dd272

Scan History

Scan history not available

Unable to load historical scan data