Security Scan Report: slots-app.logbase.io

Submitted: Feb 9, 2026, 2:38:55 PMCompleted: Feb 9, 2026, 2:41:01 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 slots-app.logbase.io and was registered NaN years ago.

Submitted URL: https://slots-app.logbase.io

The Cisco Umbrella rank of the primary domain is #28,060 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate but is currently unreachable.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
Absence of malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

slots-app.logbase.io

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

phishing scam

(54%)

Domain Information

Domain 'slots-app.logbase.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'slots-app'. Count 7 characters in 'logbase' holding three vowels versus 4 consonants. Word splitting yields two words: log, base. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://slots-app.logbase.io

Page Load Overview

5.16s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
Text Length:68 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam54% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

phishing scam
54%
adult content
42%
real estate property
38%
news media journalism
30%
cryptocurrency blockchain
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
254.225.200.43Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145048F77329A063985558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:VfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8Olde:yhoC9JSqzzbs6o3Sj3gcrsw2eAE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184491:ADQBBkoRjisMQxBF2FETglBIsKpCVJGAoG5yYh+EEIOIOAoQmBtICERgzaw4CoAm0ocZyB2QERhJAgz0IBxVXIYhijCjKkCh

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:3f1f030f00000000
Color Hash:#40bf9d

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data