Security Scan Report: c2c-uoc-1.pages.dev

Redirected to: https://c2c-uoc-1.pages.dev/#/pages/login/index

Submitted: Dec 22, 2025, 7:17:53 AMCompleted: Dec 22, 2025, 7:18:42 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 3 domains to perform 32 HTTP transactions. The main domain is c2c-uoc-1.pages.dev.

Submitted URL: http://c2c-uoc-1.pages.dev/

Effective URL: https://c2c-uoc-1.pages.dev/#/pages/login/indexRedirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Login

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

e-commerce shopping

(33%)

Domain Information

The domain name 'c2c-uoc-1.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'c2c-uoc-1'. The core label 'pages' covers 5 characters containing 2 vowels alongside 3 consonants. Tokenizing the label suggests 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://c2c-uoc-1.pages.dev/

Page Load Overview

5.98s
Total Load Time
32
HTTP Requests
3
Domains
24 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:151 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping33% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
33%
finance banking
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27172.66.44.179United States
AS13335CLOUDFLARENET
5118.25.42.241Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
5172.66.47.77United States
AS13335CLOUDFLARENET
5104.26.2.70United States
AS13335CLOUDFLARENET
3172.67.69.19United States
AS13335CLOUDFLARENET
1124.220.203.60Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
326--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B742323070062437613397D1B4E64B0D6293A336C7465928FBFD076AABCEDF68DB1A64

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:vwn+wUEU1FZ5LfRayLfRA8LfRlfLfRn9LfR7SETzhBeC3HLfJ:u+wUEU1FZ5LfwyLfm8LfzfLfl9LfJSEv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12358:sD0aXEIGvWYUUgB2GgAvwQAgGIMq4KBAKVCVKANiAhIm8USLCMApAFcmFAAlvwYQjQAIzIAjg2QrMAiFDDLPKGUEZDQAHoMA

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:ffffff00ffffffff
Perceptual Hash:a727d5d4767e8880
Difference Hash:08c0d14d8c100800
Wavelet Hash:ffffff00c0c0c0c0
Color Hash:#40b2bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data