Summary
This website contacted 58 IPs in 3 countries across 15 domains to perform 64 HTTP transactions. The main domain is podscan.fm and was registered NaN years ago.
Submitted URL: https://podscan.fm/podcasts/crime-stories-with-nancy-grace/episodes/kada-scott-23-missing-after-reports-of-harassment-crime-alert-recap-saturday-101125
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate podcast page with no security concerns.
Safety Factors
Details
Page Title
Kada Scott, 23, Missing After Reports of Harassment | Crime Alert Recap Saturday 10.11.25 - Crime Stories with Nancy Grace - Podcast Episode - Podscan.fm
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
Within the .fm country-code top-level domain, 'podscan.fm' is registered without a subdomain. The registrable portion 'podscan' spans 7 characters split between 2 vowels and five consonants. Segmentation suggests 2 words: pods, can. The median word length lands at 3.5 characters. Most frequently, 'pods' shows up in Chinese (Pinyin). It also appears in English and Galician contexts.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 7 | 172.66.155.116 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.186.35 | United States | AS15169GOOGLE |
| 1 | 172.67.71.180 | United States | AS13335CLOUDFLARENET |
| 1 | 104.26.4.237 | United States | AS13335CLOUDFLARENET |
| 1 | 13.226.244.56 | United States | AS16509AMAZON-02 |
| 1 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 142.250.185.234 | United States | AS15169GOOGLE |
| 1 | 13.226.244.29 | United States | AS16509AMAZON-02 |
| 1 | 78.46.69.199 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 1 | 104.26.5.237 | United States | AS13335CLOUDFLARENET |
| 64 | 58 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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