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Security Scan Report: thegadgetflow.com

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Submitted: Jan 4, 2026, 10:01:21 AMCompleted: Jan 4, 2026, 10:03:00 AMpubliccompleted
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Summary

This website contacted 21 IPs in 3 countries across 17 domains to perform 104 HTTP transactions. The main domain is thegadgetflow.com and was registered NaN years ago.

Submitted URL: https://thegadgetflow.com/blog/ces-2026-ai-gadget-trends-to-watch-for/

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 credential or payment forms present
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

CES 2026: 3 AI gadget trends making waves

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

forum community discussion

(42%)

Domain Information

The domain 'thegadgetflow.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'thegadgetflow' spans 13 characters holding 4 vowels versus 9 consonants. Tokenizing the label suggests three words: the, gadget, flow. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://thegadgetflow.com/blog/ces-2026-ai-gadget-trends-to-watch-for/

Page Load Overview

7.04s
Total Load Time
81
HTTP Requests
19
Domains
1.0 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:10,792 chars
Detector Agreement:80%

Website Classification

Primary Category

forum community discussion42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

forum community discussion
42%
news/blog
35%
forum
35%
documentation technical
28%
technology software
27%

Detected Features

Articles
Products
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21216.239.32.36United States
AS15169GOOGLE
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3216.58.206.66United States
AS15169GOOGLE
3142.251.141.100United States
AS15169GOOGLE
3142.250.185.131United States
AS15169GOOGLE
352.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3142.250.185.200United States
AS15169GOOGLE
3142.250.185.194United States
AS15169GOOGLE
320.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
374.125.133.154UnknownUnknown
8121--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F284A377F2E052A246434BA8522BBBBCBE7D4162DB018DB4B59E7B3C57C9CE7015224C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zIAsf0WXHlHsc9kTzIbgQQCeZVnZSZWZnZLZdSZTU3cgcRcxcmc6cmcGAyXHFk4:JzWXHlHscCTMbgtPxsUPXlk4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:396432:CSB7uvCQwkoACEBJCC3skoMEBDskCYSAIcBRASwAAB3qIiIKIAoQmFRFI1BuJY4RnRwQgIVslQARdaThNRUBABAYEjBe4QUH

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:ff818181ffc3c7e7
Perceptual Hash:fa0fd0d1c4782dca
Difference Hash:c03b3323599f9d8d
Wavelet Hash:ff818181ffc3c1c1
Color Hash:#e0726c

Other Hashes

Crop Resistant:c03b3323599f9d8d,696d757169336367,989998d1e6fdfdfd,6434b4b5b3b336f6

Scan History

Scan history not available

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