Security Scan Report: bee-loader.getbee.io

Submitted: Feb 9, 2026, 6:26:22 PMCompleted: Feb 9, 2026, 6:27:53 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is bee-loader.getbee.io and was registered NaN years ago.

Submitted URL: https://bee-loader.getbee.io

The Cisco Umbrella rank of the primary domain is #12,632 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>10 years)
High Cisco Umbrella ranking (top 10 k)
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

bee-loader.getbee.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'bee-loader.getbee.io' is registered; it also runs on subdomain 'bee-loader'. The core label 'getbee' covers 6 characters holding 3 vowels versus three consonants. Segmentation suggests two words: get, bee. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bee-loader.getbee.io

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:756 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
53%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13.171.214.127United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:sefQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz82bMy8OldG:uhoC9JSqzzbs6o3Sj3gcrsI2eAs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184491:CmSIAAAABgQl0AA5JDwAJDIIlCiCOYLSSO4hwFJVCeoCQlhVEU4NQFRAiMgiKEwmJAApoN06IBQJEOUQIAZAWqCBcjhaCBEs

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:ffcfc3c7ffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:3c1c000c0f0f0f0f
Color Hash:#59931f

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data