ScanMalware.com

Security Scan Report: eastvillagetimes.com

Site favicon
Submitted: Oct 12, 2025, 9:19:13 AMCompleted: Oct 12, 2025, 9:22:35 AMpubliccompleted
Loading additional data...

Summary

This website contacted 52 IPs in 6 countries across 19 domains to perform 125 HTTP transactions. The main domain is eastvillagetimes.com and was registered NaN years ago.

Submitted URL: https://eastvillagetimes.com/the-sdsu-podcast-episode-157-special-guest-jeremiah-oden/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site with no significant security concerns.

Safety Factors
Well‑established domain with long registration history
Standard web hosting without suspicious cloud or IPFS storage
Absence of malicious Indicators of Compromise
No password or payment forms targeting users on a suspicious domain
Domain age information unavailable

Details

Page Title

The SDSU Podcast Episode 157: Special Guest Jeremiah Oden - East Village Times

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

social media network

(36%)

Domain Information

You're looking at domain 'eastvillagetimes.com' on the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'eastvillagetimes' covers 16 characters containing seven vowels alongside nine consonants. It segments into three words: east, village, times. Median word length is 5 characters. 'east' most strongly signals English. Secondary signals appear in Chinese (Pinyin) and French. Net impression: English phrase.

Screenshot

Security scan screenshot of https://eastvillagetimes.com/the-sdsu-podcast-episode-157-special-guest-jeremiah-oden/

Page Load Overview

3.16s
Total Load Time
125
HTTP Requests
19
Domains
4.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:59,925 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network36% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
36%
news/blog
35%
forum community discussion
32%
entertainment media
32%
news media journalism
29%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
68160.153.0.114United States
AS209242Cloudflare London, LLC
1457.144.222.128Amsterdam, North Holland, Netherlands
AS32934FACEBOOK
7142.250.185.163United States
AS15169GOOGLE
5142.250.184.238United States
AS15169GOOGLE
4142.250.181.226United States
AS15169GOOGLE
4146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
323.37.42.16Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
357.144.222.1Amsterdam, North Holland, Netherlands
AS32934FACEBOOK
2172.217.23.106United States
AS15169GOOGLE
2142.250.186.104United States
AS15169GOOGLE
12552--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FAB4A531F440193F6A3B05C4A789D70E72D6A31FE4950850F6EE47684BE9E78F42E2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QQafxURBWyuvvZvKHcjvKmEeTKg4D/T/I/AknnYR7Oz1Uvayncc0eRbHBTplAjbw:QQgvxvKH8vKD761US46hi7nMxY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500198:RIElWAACCgICMXODiEGjI9iLgwgULoKgJRxOuBAUKHUAACBWxBUwwsCqEAAhCAlSDEgYAQhkIIECSYAARJQESCJqBACgxEex

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:0000ff3f1f1f0303
Perceptual Hash:9dc0263d9ce3c89e
Difference Hash:75b3b0323232766e
Wavelet Hash:0300ffff1f1f0303
Color Hash:#2d8646

Other Hashes

Crop Resistant:8aaa9eaeb2aab233,75b3b0323232766e

Scan History

Scan history not available

Unable to load historical scan data