Security Scan Report: sasm.bubbi.ai

Submitted: Dec 3, 2025, 9:24:16 AMCompleted: Dec 3, 2025, 9:26:21 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is sasm.bubbi.ai and was registered NaN years ago.

Submitted URL: https://sasm.bubbi.ai/

The Cisco Umbrella rank of the primary domain is #307,711 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age (>5 years)
No credential or payment collection fields
No external links or redirects
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇳🇴

Norwegian

(29% confidence)

Category

technology software

(67%)

Domain Information

Domain 'sasm.bubbi.ai' uses the Anguillan country-code top-level domain (.ai), featuring subdomain 'sasm'. The second-level label 'bubbi' is 5 characters long containing 2 vowels alongside three consonants. Splitting it apart reveals 2 words: bu, bbi. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sasm.bubbi.ai/

Page Load Overview

0.13s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:no
Detection Confidence:29%
Script Type:Latin
Text Length:52 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
58%
news media journalism
54%
government public service
42%
cryptocurrency blockchain
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
234.120.180.94Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12BD02373C110115611311FED8DC7F14C8F45731AE0114C44F6C0F45095CB96FC953784

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6ityTAVULZDgoWFZ9oIQuHZRS8K4FLfRRy8:qzxV/5VHHQYk/B96hWUVCD9DNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:9990d5afc6e81ae37f1ee04a8e0051ce

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:00ffffffffffffff
Perceptual Hash:931313131f1f0f4f
Difference Hash:d800000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#40bf59

Other Hashes

Crop Resistant:d800000000000000

Scan History

Scan history not available

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