Security Scan Report: podcast.feedspot.com

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Submitted: Dec 3, 2025, 1:44:37 PMCompleted: Dec 3, 2025, 1:46:35 PMpubliccompleted
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Summary

This website contacted 58 IPs in 3 countries across 10 domains to perform 49 HTTP transactions. The main domain is podcast.feedspot.com and was registered NaN years ago.

Submitted URL: https://podcast.feedspot.com/best_podcasts/

The Cisco Umbrella rank of the primary domain is #225,145 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

Site appears legitimate but contains a hidden password field and login form, warranting caution.

Risk Factors
Hidden password field (type="password" with CSS display:none)
Credential collection form (email + password) on a low‑ranking domain
Safety Factors
Domain age 21+ years (well‑established)
No malicious Indicators of Compromise matches found
Content appears to be a legitimate podcast listing
Domain age information unavailable

Details

Page Title

70 Best Popular Podcasts to Listen to in 2025

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(37%)

Domain Information

Domain 'podcast.feedspot.com' uses the commercial generic top-level domain (.com) and includes subdomain 'podcast'. The second-level label 'feedspot' is 8 characters long split between three vowels and 5 consonants. Tokenizing the label suggests 2 words: feed, spot. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://podcast.feedspot.com/best_podcasts/

Page Load Overview

0.36s
Total Load Time
49
HTTP Requests
10
Domains
2.5 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-US
Text Length:61,196 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
37%
news/blog
35%
news media journalism
33%
government public service
30%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3152.222.136.19United States
AS16509AMAZON-02
565.9.175.128United States
AS16509AMAZON-02
4216.239.32.36United States
AS15169GOOGLE
254.192.35.60United States
AS16509AMAZON-02
1146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1142.251.168.84United States
AS15169GOOGLE
154.200.195.0Boardman, Oregon, United States
AS16509AMAZON-02
113.226.244.29United States
AS16509AMAZON-02
165.8.131.83United States
AS16509AMAZON-02
1142.250.185.232United States
AS15169GOOGLE
4958--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16E253AB272F4393740B741E6B1896F6E71F1915EEA431A94BAFC96B80B8EDC23133544

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:BwYnu84Za6Yq2QWuz3qwlVrO1O1cmQ1yjEL39XbUP9Tdvm7w/eyGkRucN/mjI4Hh:e7gIQcOB0K+Oo1WT9dS1mb9SQXF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1021727:DRNIIonsyWgegURGpEpChGHBIliFQAIQRUhAILs5pCB4EJEJ0MBEHAztoEAgCSD8lEDUs1dwwQom0OQS24OBNACBhEidEEjD

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:bf8989999d9f9ff3
Perceptual Hash:bc1be31e4e0b6683
Difference Hash:6b323b3b33383827
Wavelet Hash:bd0909191f059ff3
Color Hash:#1f9344

Other Hashes

Crop Resistant:6b323b3b33383827

Scan History

Scan history not available

Unable to load historical scan data