Security Scan Report: oneplus.gadgethacks.com

Submitted: Jan 26, 2026, 9:11:35 PMCompleted: Jan 26, 2026, 9:14:33 PMpubliccompleted
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Summary

This website contacted 10 IPs in 1 country across 10 domains to perform 37 HTTP transactions. The main domain is oneplus.gadgethacks.com and was registered NaN years ago.

Submitted URL: https://oneplus.gadgethacks.com/news/oneplus-crisis-reveals-androids-innovation-problem/

The Cisco Umbrella rank of the primary domain is #645,941 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Informational article about OnePlus on a well‑established third‑party site; low risk.

Safety Factors
Established domain age
Absence of forms collecting sensitive data
Informational content with clear attribution
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

OnePlus Crisis Reveals Android's Innovation Problem << OnePlus :: Gadget Hacks

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(36%)

Domain Information

Domain 'oneplus.gadgethacks.com' uses the commercial generic top-level domain (.com), featuring subdomain 'oneplus'. Its registrable label 'gadgethacks' stretches across 11 characters holding three vowels versus 8 consonants. Splitting it apart reveals 2 words: gadget, hacks. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oneplus.gadgethacks.com/news/oneplus-crisis-reveals-androids-innovation-problem/

Page Load Overview

17.47s
Total Load Time
274
HTTP Requests
60
Domains
4.3 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:18,475 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical36% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
36%
corporate business
35%
technology software
35%
news media journalism
34%
phishing/scam
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31172.67.149.20United States
AS13335Cloudflare, Inc.
2775.2.108.141United States
27142.251.141.98United States
AS15169Google LLC
2754.192.35.20United States
AS16509Amazon.com, Inc.
27172.67.74.19Unknown
27172.66.44.168United States
AS13335Cloudflare, Inc.
27188.114.96.3Unknown
27142.251.208.2United States
AS15169Google LLC
273.160.150.117United States
AS16509Amazon.com, Inc.
27142.251.208.8United States
AS15169Google LLC
27410--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C640873A1701536474BE2A048657B88A1AAC34BCE53CF95FDECC16A3BC1CA595B33D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:SvpquUws1P7X47XUpLRuUItuUOuUj3buUg1P7X47XUpcuU/uUluUZuUgtdqVv:SvpO7X47XUpk7X47XUpO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:335352:iAB6FFgZhBA2EiPQ4EAIMgNkAQINRBAFQW0AmIglCpAB1ywsi0AnjyIJBqxwAhWAhRudYV3M0AEI5GCgMgznKCUGgIDBEExh

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:0000ffffcbc7c3ff
Perceptual Hash:fa474070cde99639
Difference Hash:c1017d433b0f1b2f
Wavelet Hash:0000b9ffc387c1ff
Color Hash:#2da9d2

Scan History

Scan history not available

Unable to load historical scan data