Security Scan Report: folkalley.com

Submitted: Feb 20, 2026, 1:35:30 AMCompleted: Feb 20, 2026, 1:37:02 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 folkalley.com and was registered NaN years ago.

Submitted URL: https://folkalley.com/album-review-lucinda-williams-worlds-gone-wrong/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate; currently unreachable but shows no security concerns.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No credential‑harvesting or payment forms
No detected JavaScript malware
No external links or redirects
Domain age information unavailable

Details

Page Title

folkalley.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

Domain 'folkalley.com' uses the commercial generic top-level domain (.com). Count 9 characters in 'folkalley' containing three vowels alongside six consonants. Splitting it apart reveals two words: folk, alley. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://folkalley.com/album-review-lucinda-williams-worlds-gone-wrong/

Page Load Overview

8.12s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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
Text Length:735 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
65%
adult content
58%
phishing scam
27%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1130.211.185.217Council Bluffs, Iowa, United States
AS396982Google LLC
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147048F77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszC2bMy8Old7:IhoC9JSqzzbs6o3Sj3gcrsu2eAt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184600:L8AMilF4HOh/jQwIIhhEpRFAqwSQFIAEAnQgVkADIQ6AI4YEUEpQpRwIYEIQYCIbgZMASGmCGFQAGRSrgzBBHQsJAESxCU4n

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:ffcfc7c7ffffffff
Perceptual Hash:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#d2a379

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data