Security Scan Report: oocfce.pages.dev

Redirected to: https://oocfce.pages.dev/

Submitted: Jan 20, 2026, 6:43:37 AMCompleted: Jan 20, 2026, 6:44:47 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is oocfce.pages.dev and was registered NaN years ago.

Submitted URL: http://oocfce.pages.dev/

Effective URL: https://oocfce.pages.dev/Redirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Likely phishing page targeting Telegram credentials; do not submit any information.

Risk Factors
Credential‑harvesting form (password‑only field)
Brand impersonation of Telegram on an unrelated domain
Domain age information unavailable

Details

Page Title

Workers Service - 登录

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(82%)

Domain Information

Domain 'oocfce.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'oocfce'. Its registrable label 'pages' stretches across 5 characters split between two vowels and three consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://oocfce.pages.dev/

Page Load Overview

0.39s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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
HTML Lang Attribute:zh-CN
Text Length:92 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

social media network82% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
82%
government public service
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.44.177United States
AS13335CLOUDFLARENET
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T180A1404AA5A314827583E8B81BB7479937A9C503D00ACE693FDD6784CF0EB959CA374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:tMdtgxRKAJjnkt7RwYq8UTfKZu0jnyJFwTyMj:id6xRKAJj67RwYRUTfKY0jnyJFXMj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4776:EJhAagDAARIBggCEAFCQhLIAAFiACAAIQAIAAGXJJBTsGBqCCq4NEDCRII4gBQCAAAAAQAGAJDAwgVAAAAMEigIBCAOgIAgl

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:c0c0989818180000
Perceptual Hash:dd99266699998c66
Difference Hash:000c323232320000
Wavelet Hash:f8f8f8f8f8d8c080
Color Hash:#5d931f

Scan History

Scan history not available

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