Security Scan Report: app.podscribe.com

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Submitted: Aug 25, 2026, 12:19:43 PMCompleted: Aug 25, 2026, 12:21:26 PMpubliccompleted

This website contacted 2 IPs in 1 country across 19 domains to perform 203 HTTP transactions. The main domain is app.podscribe.com and was registered 12 months ago.

Submitted URL: https://app.podscribe.com/series/306394

The Cisco Umbrella rank of the primary domain is #4,284 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #4,284.

Safety Factors
Well-established domain (ranked #4,284)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

Australian Hiker - Podscribe

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'app.podscribe.com' is registered and includes subdomain 'app'. The core label 'podscribe' covers 9 characters containing 3 vowels alongside 6 consonants. Word splitting yields two words: pod, scribe. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.podscribe.com/series/306394

Page Load Overview

13.43s
Total Load Time
5.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,271 chars
Detector Agreement:60%

Website Classification

Primary Category

entertainment media76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
76%
news media journalism
60%
adult content
50%
technology software
46%
government public service
39%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10218.245.46.80Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
101172.217.208.95Google · CDNUnited States
AS15169Google LLC
2032--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11651C7B768CA0002260152566FEA3435EE3B501F5A9AF450FCDD42189FD4BAE05F2BFE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TYZupbZbVLdNrwHoNm3xG9+2usnJifR1YYxT7sHSBYotdZEkhTz6Jdl1a:TYZuvVwHL3xG9SsnJER1XqyBYotdZEWX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3002:AGgAIgBEBKiIgEAASAJAAAQEAAAAAEAkAAIiCgBEAQAUUAACAAIAIQhgCEIgAAAAAAGIAgogBgDSAEQQiAhQAQGQAAAAAAAI

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:3efffee7e7ffffff
Perceptual Hash:d555555555555515
Difference Hash:e801100808100000
Wavelet Hash:3e1f3727c0c0f0f0
Color Hash:#5356ac

Other Hashes

Crop Resistant:e801100808100000

Scan History

Scan history not available

Unable to load historical scan data