Security Scan Report: tvgeekingout.wordpress.com

Site favicon
Submitted: Aug 15, 2026, 5:53:09 AMCompleted: Aug 15, 2026, 5:56:07 AMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 1 country across 7 domains to perform 2 HTTP transactions. The main domain is tvgeekingout.wordpress.com and was registered NaN years ago.

Submitted URL: https://tvgeekingout.wordpress.com/2022/09/30/my-top-fancasts-of-storm-for-the-mcu-x-men/

The Cisco Umbrella rank of the primary domain is #4,961 of the top 1 million websitesTop 10K Site

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

The site is a legitimate blog with no credential collection, but threat‑intel IP matches and a flagged outbound link raise moderate concern.

Risk Factors
Threat‑intel IP matches to known attacker infrastructure
Outbound link to a domain flagged as wallet‑drainer
Safety Factors
Long‑standing domain age and reputable ranking
Absence of credential or payment collection forms
No malicious JavaScript or IDS alerts detected
Page type is an article/blog post (og:type=article) with no brand impersonation
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 4
Domain age information unavailable

Details

Page Title

My Top Fancasts of Storm for the MCU X-Men – The Binge Watcher

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

Within the commercial generic top-level domain (.com), 'tvgeekingout.wordpress.com' is registered and includes subdomain 'tvgeekingout'. Count 9 characters in 'wordpress' containing 2 vowels alongside 7 consonants. Word splitting yields 1 word: wordpress. Average segment length settles at nine characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tvgeekingout.wordpress.com/2022/09/30/my-top-fancasts-of-storm-for-the-mcu-x-men/

Page Load Overview

31.57s
Total Load Time
118
HTTP Requests
33
Domains
1.8 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
Text Length:21,247 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%
forum
70%
social_media
50%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
19192.0.77.40San Francisco, California, United States
AS2635Automattic, Inc
19192.0.72.30San Francisco, California, United States
AS2635Automattic, Inc
19192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
19192.0.78.12San Francisco, California, United States
AS2635Automattic, Inc
19192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
1186--

Page Statistics

118
Requests
33
Unique Domains
2.9 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE44D8B6A96C4A3E179F42F4A4423B1C61EA473BDD8C46C5B4BA417C2B81CF6393758C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:4vBAFuzplnCJBD/sDT+6/mCCqu4xoCu62QbgnW8wUG34MVZ/zp15LeY/f0ElzTRx:Q+6dIaXz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:270626:YQAkAMMicYEiWCVIyAslEAGIgEkYKGC3CTIidCKZRMaIBAR4NzdAkZATDAQQNEkFBQBKwJDAiNIAWAigRciCxsBOgNA3ajAC

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:e7efcffbebc3c7ff
Perceptual Hash:b1cec633ce2c30ce
Difference Hash:0c499bb2db9a9b64
Wavelet Hash:e76149594141c7fe
Color Hash:#8479d2

Scan History

Scan history not available

Unable to load historical scan data