Security Scan Report: random-times.com

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Submitted: Jul 1, 2026, 6:33:47 AMCompleted: Jul 1, 2026, 6:35:04 AMpubliccompleted
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Summary

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

Submitted URL: https://random-times.com/2023/07/01/july-1-its-time-to-celebrate-canada-day/

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

Site hosts a known malicious IP and shows excessive redirects despite no credential forms; treat as high‑risk and avoid.

Risk Factors
Known malicious IP associated with the site
Excessive redirects (4)
Domain not listed in Cisco Umbrella top‑1M (unranked)
Safety Factors
Long domain age (≈8 years)
No password or payment fields in any form
No malicious JavaScript or YARA matches
Self‑branding confirmed
Established domain (2973 days old) with no strong malicious indicators — risk clamped from 7 to 5
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 5 to 3
Domain age information unavailable

Details

Page Title

July 1: Happy Canada Day! – RANDOM Times •

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(50%)

Domain Information

The domain name 'random-times.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'random-times' stretches across 12 characters split between four vowels and seven consonants, plus one hyphen. Segmentation suggests 2 words: random, times. Average segment length settles at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://random-times.com/2023/07/01/july-1-its-time-to-celebrate-canada-day/

Page Load Overview

5.92s
Total Load Time
122
HTTP Requests
22
Domains
5.1 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-US
Text Length:67,341 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content50% confidence
Type: webapp
Method: ml+structural

All Detected Categories

adult content
50%
news/blog
35%
social media network
31%
news media journalism
29%
forum
25%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
20192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
20142.251.110.101Google · CDNUnited States
AS15169Google LLC
20192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
20142.251.20.156Google · CDNUnited States
AS15169Google LLC
20192.0.78.238San Francisco, California, United States
AS2635Automattic, Inc
1226--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5B4E831F840193F6B7B05C4E689A70E71D6A30FE4994840F5EA477887E5E78F12E2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:x4hr8qbAD6pb3dj1tvGJ2bVvGJ2bF9AXVaF8IhizRJ:x4hr8qbADOHAwFOv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500437:AKEgImQWhCIICBKIJAoXBQFRnYFUCD0oDoxSc4CEQIJfBrGRAEYaEnDrSjgoAkIgABiWgYkSMIAAAEDBPOiEEBQkAAkUPg0C

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:00181838ffbf9981
Perceptual Hash:cd5066b6e31c9cc9
Difference Hash:94b0b2b232323323
Wavelet Hash:0018187cffff9991
Color Hash:#271f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data