Security Scan Report: bff.cafe.naver.com

Submitted: Feb 15, 2026, 8:01:24 AMCompleted: Feb 15, 2026, 8:03:01 AMpubliccompleted
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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 bff.cafe.naver.com and was registered NaN years ago.

Submitted URL: https://bff.cafe.naver.com

The Cisco Umbrella rank of the primary domain is #6,043 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no malicious indicators.

Safety Factors
Well‑established domain
High reputation ranking
Absence of forms or sensitive data collection
No malicious Indicators of Compromise
No detected malware
Domain age information unavailable

Details

Page Title

bff.cafe.naver.com

Scan Type

public

Language

🇳🇴

Norwegian

(36% confidence)

Category

healthcare medical

(52%)

Domain Information

Domain 'bff.cafe.naver.com' uses the commercial generic top-level domain (.com), featuring subdomain 'bff.cafe'. The core label 'naver' covers 5 characters with two vowels and 3 consonants. It segments into 1 word: naver. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bff.cafe.naver.com

Page Load Overview

3.87s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:no
Detection Confidence:36%
Script Type:Latin
Text Length:63 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical52% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
52%
documentation technical
47%
news media journalism
47%
government public service
37%
phishing scam
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2125.209.233.25South Korea
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszo2bMy8OldK:choC9JSqzzbs6o3Sj3gcrs02eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184481:BkHCApEhhAUUBUIiAXEWpbNKBIDNQAlwQUZhJIKQQVKhKLCMsh1SyEVJYBPTWQYRAIVFAIjBqQ2AhA0iAxhCIBiERILmbEpj

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:#d2799d

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data