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Security Scan Report: 92moose.fm

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Submitted: Oct 13, 2026, 8:29:28 PMCompleted: Oct 13, 2026, 8:31:38 PMpubliccompleted

Summary

API
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Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/dec970c4-6b9c-458f-997b-3bbd1d7f33f9Domain and IP registration (RDAP)/api/v1/rdap/dec970c4-6b9c-458f-997b-3bbd1d7f33f9Certificate Transparency/api/v1/ct/92moose.fmHow often this domain was scanned/api/v1/domain/stats/92moose.fmScan history for this domain/api/v1/domain/history/92moose.fm?limit=15

This website contacted 351 IPs in 11 countries across 210 domains to perform 1460 HTTP transactions. The main domain is 92moose.fm and was registered 28 years ago.

Submitted URL: https://92moose.fm/sharon-osbourne-recalls-the-exact-moment-she-became-a-badass/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate 24-year-old radio station site serving a music/entertainment article. No credential or payment forms, no malware or phishing indicators, and self-branding matches the domain.

Safety Factors (5)
Established domain age of 24 years
Self-branding matches the domain
Article/news page about Sharon Osbourne, not a brand impersonation page
No password, payment, or disguised credential fields
No threat-intel, YARA, Safe Browsing, or phishing/malware IDS hits
Domain age information unavailable

Details

Page Title

Sharon Osbourne Recalls The Exact Moment She Became A Badass

Scan Type

public

Domain Name Analysis

Domain '92moose.fm' uses the .fm country-code top-level domain with no subdomain. The registrable portion '92moose' spans 7 characters with three vowels and 2 consonants; bonus characters include two digits. Tokenizing the label suggests two words: 92, moose. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://92moose.fm/sharon-osbourne-recalls-the-exact-moment-she-became-a-badass/

Page Load Overview

9.67s
Total Load Time
20.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:118,164 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software34% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
34%
news/blog
20%
forum
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6023.36.162.220Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
495.100.110.29Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4142.251.20.95Google · CDNUnited States
AS15169Google LLC
418.245.31.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4172.64.152.243Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.97Google · CDNUnited States
AS15169Google LLC
4157.240.0.63Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
4172.64.146.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.157Google · CDNUnited States
AS15169Google LLC
4104.18.24.18Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1460351--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19FC46D337680123B115302D9E6977B0872AAD2ABF74586E4F5DCCE1847C6EEE653326C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:QPetXDxKZ9FZMyBmy/75spT7HIIqT7KT/47k:NDx29FZMyBmy/7SpT7yT2n

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:569639:CAAEwE4/MMjYMRMCcCsOmElUhFEEgLgQAIxFQh6GAiAPkw5GhDE4IVC7vKOUwWQIDCPkSyFEiCGIGASdFmCZsQM2AKB0HDES

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data