Security Scan Report: dockermtc.pages.dev

Submitted: Jan 5, 2026, 7:11:34 AMCompleted: Jan 5, 2026, 7:12:44 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 19 HTTP transactions. The main domain is dockermtc.pages.dev and was registered NaN years ago.

Submitted URL: https://dockermtc.pages.dev/

AI Security Verdict

High Risk

Confidence: 93%

7
Risk Score

High‑risk site due to malicious primary domain indicator; do not use.

Risk Factors
Primary domain pages.dev flagged as malicious
Unranked in Cisco Umbrella (low reputation)
No legitimate content could be retrieved (content fetch failed)
Domain age information unavailable

Details

Page Title

Cloudflare 加速

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(55%)

Domain Information

Domain 'dockermtc.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'dockermtc'. Count 5 characters in 'pages' split between two vowels and three consonants. Splitting it apart reveals 1 word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dockermtc.pages.dev/

Page Load Overview

1.91s
Total Load Time
3
HTTP Requests
2
Domains
N/A
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:232 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software55% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
55%
cryptocurrency blockchain
27%
download file sharing
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1172.66.47.170United States
1104.26.3.143United States
AS13335CLOUDFLARENET
1172.66.44.86United States
AS13335CLOUDFLARENET
33--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124A2D82DB2F101367E9340FBE387E948B62591C3DD1ECAB5F99D9100DF8666168E32C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+ruLh1o9jF4EAueXeZPAMchBFpBypLar6ui67JXeS7JXex/27xzSieAirpzR9mzW:+rEfhL7NeblzR9mzdtRnBelePI9BM76z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21773:EcDAsxcUQAG4Wn1AWIygOWSIQIh8kmwUgRQAApYxIR4EQAFICEDiUYIoUSITFYBQpmDQVvgRJACAAQYrIgACcLS6qSiYcWJI

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:80e0fe7c7e7e0000
Perceptual Hash:d6a769d85e0896a5
Difference Hash:0088ccf4e0ec8801
Wavelet Hash:e0f0fefcfe7c0000
Color Hash:#38d22d

Other Hashes

Crop Resistant:0088ccf4e0ec8801

Scan History

Scan history not available

Unable to load historical scan data