Security Scan Report: votepodcast.org

Submitted: Mar 17, 2026, 12:04:43 AMCompleted: Mar 17, 2026, 12:06:04 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 7 HTTP transactions. The main domain is votepodcast.org and was registered NaN years ago.

Submitted URL: https://votepodcast.org/auth/twitter

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Confirmed scam – malicious IP and brand‑new domain indicate phishing/malicious activity; do not use.

Risk Factors
Malicious IP indicator of compromise
Domain age <7 days (critical)
Critical JavaScript obfuscation
Login UI without visible password fields (possible hidden credential capture)
Domain age information unavailable

Details

Page Title

VotePod — Vote for Your Next Podcast Icon

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(84%)

Domain Information

The domain 'votepodcast.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. Count 11 characters in 'votepodcast' containing 4 vowels alongside seven consonants. Splitting it apart reveals two words: vote, podcast. The median word length lands at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://votepodcast.org/auth/twitter

Page Load Overview

0.39s
Total Load Time
7
HTTP Requests
3
Domains
188 KB
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:321 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business84% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
84%
technology software
64%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.208.170United States
AS15169Google LLC
2142.251.140.163United States
AS15169Google LLC
264.29.17.65United States
AS16509Amazon.com, Inc.
73--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F302E8E325E10D12111343A1E4D6B39DB0FCD20BC58A9D94F2EC825E5BCAED4DD97788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Yct6Df2aVmyFlPyDyyJnybnyQwqehRrpf+FpMc8BnjkFv:l9mhy4v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8196:ABACCBQCiJhEUCcgoOYBADBHkHR8LYWylAguAMAScFkwKBDjwEJFBVAxSNHBQIAAgiXGsQli0DAEJAQgAhAAgaQaQAANS4Bg

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:0000181818000000
Perceptual Hash:cccc6633999999cc
Difference Hash:1000b2b2b2102030
Wavelet Hash:00183c3c3c3c003c
Color Hash:#93251f

Scan History

Scan history not available

Unable to load historical scan data