Security Scan Report: ivy.fm

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Submitted: Jun 12, 2026, 3:42:40 AMCompleted: Jun 12, 2026, 3:44:27 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is ivy.fm and was registered NaN years ago.

Submitted URL: https://ivy.fm/podcast/guy-benson-show-468143

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The page is a legitimate podcast listing with no malicious activity detected.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1M)
Safety Factors
No malicious indicators (IoC, YARA, IDS alerts)
Long‑standing domain registration
No credential or payment collection
Domain age information unavailable

Details

Page Title

Guy Benson Show | Ivy.fm

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(59%)

Domain Information

Within the .fm country-code top-level domain, 'ivy.fm' is registered without a subdomain. The registrable portion 'ivy' spans 3 characters split between one vowel and 2 consonants. Tokenizing the label suggests one word: ivy. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ivy.fm/podcast/guy-benson-show-468143

Page Load Overview

8.77s
Total Load Time
80
HTTP Requests
4
Domains
1.9 MB
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:27,404 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
59%
entertainment media
26%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28142.251.127.97United States
AS15169Google LLC
2666.240.222.220United States
AS10439CariNet, Inc.
2652.216.48.161Ashburn, Virginia, United States
AS16509Amazon.com, Inc.
803--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C94549733B8A33F829083E94236F66CA39B50AAB15E98D0DE9CC7C46387DD4F1D2554

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8dWexkvTI+bIMm5WnH8kt6sIw6evrPPeteqxmod6ufYH9WQ:8dWQWHX6evrPPete8m5H9WQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:433881:64sMJaAQtjDQwAAAZ+sVSAIDKAQKEADQyICFeiAZwQZAgapmDBkAV/qAEQAwEAQgYpSRYyAEgMYHDwjgIWRooIMAwM/Wa4AU

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:dff0c04000407040
Perceptual Hash:f0f0909f1f959195
Difference Hash:b0919581e18585d1
Wavelet Hash:dff8c0c03d707c70
Color Hash:#2d43d2

Scan History

Scan history not available

Unable to load historical scan data