Security Scan Report: app.buff.game

Submitted: Jan 24, 2026, 12:19:28 PMCompleted: Jan 24, 2026, 12:20:59 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is app.buff.game and was registered NaN years ago.

Submitted URL: https://app.buff.game

The Cisco Umbrella rank of the primary domain is #366,368 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Well‑established domain (>8 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
No detected malware or suspicious scripts
Page returns a 404 error (no content to exploit)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇪🇸

CA

(36% confidence)

Category

news media journalism

(27%)

Domain Information

Domain 'app.buff.game' uses the .game top-level domain, featuring subdomain 'app'. The registrable portion 'buff' spans 4 characters holding one vowel versus 3 consonants. Segmentation suggests 1 word: buff. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.buff.game

Page Load Overview

0.59s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇪🇸CA
Code: ca
Confidence:36%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ca
Detection Confidence:36%
Script Type:Unknown
Text Length:152 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism27% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
27%
phishing/scam
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23.136.166.237United States
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147E07D3F8114588A27736FDC6C8069184A85B01985232D80F4C8E474D9C74A1E4031C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96RALyO8LW4W/W49qgwKI1g5kedNdxELa:kxV7Hfy+LWbWGI8t7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:1bbdb1b53fedf021c7ec58bd025a549a

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:b636363636363632
Difference Hash:8c00000000000000
Wavelet Hash:00fcfcfc00000000
Color Hash:#45d22d

Other Hashes

Crop Resistant:8c00000000000000

Scan History

Scan history not available

Unable to load historical scan data