ScanMalware.com

Security Scan Report: www.inforum.com

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Submitted: Nov 1, 2025, 3:19:44 AMCompleted: Nov 1, 2025, 3:23:52 AMpubliccompleted
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Summary

This website contacted 312 IPs in 7 countries across 138 domains to perform 458 HTTP transactions. The main domain is inforum.com and was registered NaN years ago.

Submitted URL: https://www.inforum.com/news/minnesota/feds-st-paul-man-put-45k-hit-on-pam-bondi-in-tiktok-post

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
No malicious Indicators of Compromise detected
Absence of suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Feds: St. Paul man put $45K hit on Pam Bondi in TikTok post - InForum | Fargo, Moorhead and West Fargo news, weather and sports

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(36%)

Domain Information

Domain 'www.inforum.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 7 characters in 'inforum' split between three vowels and four consonants. Tokenizing the label suggests two words: in, forum. Expect 3.5 characters per word on average. 'in' most strongly signals Slovenian. You may catch it in Italian and English as well.

Screenshot

Security scan screenshot of https://www.inforum.com/news/minnesota/feds-st-paul-man-put-45k-hit-on-pam-bondi-in-tiktok-post

Page Load Overview

11.13s
Total Load Time
458
HTTP Requests
138
Domains
12.9 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:9,811 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism36% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
36%
news/blog
35%
adult content
30%
government public service
28%
forum
25%

Detected Features

Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4918.66.102.53United States
AS16509AMAZON-02
35146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
21172.217.18.2United States
AS15169GOOGLE
183.215.95.140Ashburn, Virginia, United States
AS14618AMAZON-AES
1318.173.205.63United States
AS16509AMAZON-02
1252.222.136.93United States
AS16509AMAZON-02
12108.138.4.226United States
AS16509AMAZON-02
113.76.255.35Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
813.32.27.52New York, New York, United States
AS16509AMAZON-02
8172.217.18.3United States
AS15169GOOGLE
458312--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8A44A72B8F1223B122791E9B4E277187232E607D285EEC1B6DC02581FC5FE5A96375C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:tMcqYi4MoLrjLTLQ4KMzWnF0n8jd917yiwe+xjEryEAdB2ck+N3t+E7Ere:tnqYi48MzWnF7jddWm3+N3t+E7Ere

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:474186:k2JgbckDAKKCCWWAhMJGUCKAABAkcS/wOFUAMCBDyDdwEORqQGBlQYByAikBIBMIY7tECEACMKZFYJpSBgBEhRHKCAEhhyBG

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:ffffffffffc6c4c0
Perceptual Hash:f28c72d2ac52ad56
Difference Hash:8c0632383b9c8c8c
Wavelet Hash:00ff38dfffc0c0c0
Color Hash:#4084bf

Other Hashes

Crop Resistant:8c0632383b9c8c8c,cdedcdcdcccc9cdd,2c2dcdaca4484d4c

Scan History

Scan history not available

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