Security Scan Report: www.last.fm

Submitted: Oct 10, 2025, 8:40:39 AMCompleted: Oct 10, 2025, 8:41:31 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is last.fm.

Submitted URL: https://www.last.fm/music/Luis+Miguel

AI Security Verdict

High Risk

Confidence: 95%

10
Risk Score

Page spoofs Last.fm using URL manipulation; high‑risk phishing site.

Risk Factors
URL manipulation (high‑risk phishing technique)
Brand impersonation on a non‑official domain
Unranked domain presenting a well‑known brand
Content served from chrome-error:// scheme
HTTP error page instead of expected site content
Domain age information unavailable

Details

Page Title

www.last.fm

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

news media journalism

(68%)

Domain Information

Domain 'www.last.fm' uses the .fm country-code top-level domain and includes subdomain 'www'. Count 4 characters in 'last' holding one vowel versus three consonants. It segments into 1 word: last. Median word length comes out to four characters. 'last' most often appears in Chinese (Pinyin). Secondary signals appear in English and Estonian.

Screenshot

Security scan screenshot of https://www.last.fm/music/Luis+Miguel

Page Load Overview

14.80s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
HTML Lang Attribute:en
Text Length:157 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism68% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
68%
documentation technical
50%
entertainment media
47%
adult content
41%
healthcare medical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0146.75.121.188Frankfurt am Main, Hesse, Germany
AS54113FASTLY
02a04:4e42:8e::444Frankfurt am Main, Hesse, Germany
AS54113FASTLY
12--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16E048F77329A063D86558498E057430D9F20B143B50AC9BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1fQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsze2bMy8OldO:ShoC9J395CbZgLtSL3gcrsK2eAc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183524:8PxEhQZQgAwlBIIZiQWsH4BkABsckFqIAiAuSKCg8goBUGCEAgSQQIkCwtEIAIKlWMtE/dCkcOGdyUQtoAARCl0AoZMKWI0A

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:ffcfc7f3ffffffff
Perceptual Hash:a1319bcecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:ffdfc7f300000000
Color Hash:#87abc5

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

Unable to load historical scan data