Security Scan Report: connectionsgame.io

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Submitted: Oct 8, 2025, 6:17:12 PMCompleted: Oct 8, 2025, 6:18:04 PMpubliccompleted
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Summary

This website contacted 22 IPs in 1 country across 7 domains to perform 36 HTTP transactions. The main domain is connectionsgame.io and was registered NaN years ago.

Submitted URL: https://connectionsgame.io/connections-answers-for-october-7-2023.htm

AI Security Verdict

Low Risk

Confidence: 92%

3
Risk Score

Site appears legitimate but leverages NYT branding, so treat as low‑risk content.

Risk Factors
Uses New York Times (NYT) brand in title and headings without being an official NYT domain
Safety Factors
Established domain (>1 year)
No credential or payment collection forms
No known malicious Indicators of Compromise
No suspicious redirects or hidden scripts
Domain age information unavailable

Details

Page Title

Connections Answers for October 7 2023

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

news media journalism

(76%)

Domain Information

The domain 'connectionsgame.io' uses the British Indian Ocean Territory country-code top-level domain (.io). The core label 'connectionsgame' covers 15 characters with six vowels and 9 consonants. Splitting it apart reveals two words: connections, game. Expect 7.5 characters per word on average. The linguistic tilt is English for 'connections'. You will also see it in Chinese (Pinyin) and Vietnamese contexts.

Screenshot

Security scan screenshot of https://connectionsgame.io/connections-answers-for-october-7-2023.htm

Page Load Overview

3.49s
Total Load Time
36
HTTP Requests
7
Domains
601 KB
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:60,739 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism76% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
76%
entertainment media
59%
education learning
44%
technology software
37%
documentation technical
35%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15104.21.14.72United States
AS13335CLOUDFLARENET
1142.250.181.232United States
AS15169GOOGLE
1142.250.186.163United States
AS15169GOOGLE
1172.67.158.43United States
AS13335CLOUDFLARENET
1142.250.186.142United States
AS15169GOOGLE
1142.250.185.234United States
AS15169GOOGLE
1142.250.181.225United States
AS15169GOOGLE
1142.250.186.162United States
AS15169GOOGLE
1142.250.185.130United StatesUnknown
12a00:1450:4001:82b::2003United StatesUnknown
3622--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107B49331F940292F6B3B04C4E749D70A71DAA31FF4E90810D5D647688AE9E78F52E2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:c5VFkA/y7TYrKkfx0oKg3YWWl6hiAnMxa1:sVFmLkfPKg3YWWgMxa1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500172:AstLAQsYLUSQrkRAgvlTyJmBQggRyYAJVo7UMgpRMAZRQFQlRYirauCQAJDOIBiTANSYkIMSFwYSB8MQ0RCIQETFgASCpwmj

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:00183c3c18180000
Perceptual Hash:cd1636353c329c1f
Difference Hash:4cb2b2b232b2b212
Wavelet Hash:00fefebe38785a00
Color Hash:#1f2d93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data