Security Scan Report: bigappleblues.com

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Submitted: Jan 31, 2026, 4:58:09 AMCompleted: Jan 31, 2026, 4:59:22 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 47 HTTP transactions. The main domain is bigappleblues.com and was registered NaN years ago.

Submitted URL: https://bigappleblues.com/contact/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate band website with no security concerns.

Safety Factors
Established domain age
No forms collecting sensitive data
No malicious Indicators of Compromise
Consistent branding with a music band
Standard contact information only
Domain age information unavailable

Details

Page Title

Contact - Big Apple Blues

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(64%)

Domain Information

Domain 'bigappleblues.com' uses the commercial generic top-level domain (.com). The second-level label 'bigappleblues' is 13 characters long holding 5 vowels versus eight consonants. Breaking it apart gives 3 words: big, apple, blues. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bigappleblues.com/contact/

Page Load Overview

3.36s
Total Load Time
47
HTTP Requests
3
Domains
116 KB
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-US
Text Length:313 chars
Detector Agreement:67%

Website Classification

Primary Category

entertainment media64% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
64%
news/blog
30%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17141.193.213.11United States
AS209242Cloudflare London, LLC
15172.217.18.10United States
15142.250.187.227United StatesUnknown
473--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5E2FA73941C543B660A63CDD095B218E5AD8526CB41FBA1FAF4616CE6E8EF300B372D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5co20o4yZdapzt02zqKYn51a5UZt5PZAxE/QL1XAedzwx/2:5qZapaiCZt5PZAxE/QL1XAedzwx/2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33469:EhiJyElAo+1HQBgSIoYQhgKJjPQgRjgAQJkgkJDsyJAVJSExBUJCijCNNgC8ZUmmZHlCwIAZwiAgErkTgAbeCozwJGQIIAwE

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:00ffff0000ffffff
Perceptual Hash:f07070707879993f
Difference Hash:9a8c0096ac000400
Wavelet Hash:0000ff0000ffffff
Color Hash:#93611f

Scan History

Scan history not available

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