ScanMalware.com

Security Scan Report: zrfsub.pages.dev

Site favicon
Submitted: Jul 28, 2026, 7:17:22 AMCompleted: Jul 28, 2026, 7:18:45 AMpubliccompleted

Summary

This website contacted 5 IPs in 3 countries across 12 domains to perform 2 HTTP transactions. The main domain is zrfsub.pages.dev and was registered NaN years ago.

Submitted URL: https://zrfsub.pages.dev/p/Cloudflare-Snippets/

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site hosts a password‑only form on an unknown‑age, unranked subdomain with heavily obfuscated JavaScript, indicating credential phishing risk.

Risk Factors
Unknown subdomain age on hosting platform
Unranked domain with no reputation
Credential form lacking username field (suspicious harvesting pattern)
High JavaScript obfuscation and eval() usage
No external IoC or malware matches (absence does not mitigate other risks)
Safety Factors
Page marked as an article (og:type=article) – content appears informational
No Indicators of Compromise matched
No JavaScript malware YARA patterns detected
No network IDS alerts
No cross‑origin credential exfiltration observed
No concrete malicious signal (no IoC / YARA / Safe-Browsing / IDS / credential form / brand impersonation) — elevated risk rested on domain age or reputation alone; clamped from 7 to 3
Domain age information unavailable

Details

Page Title

Cloudflare Snippets 免费部署VLESS不限流量节点：MiSub用户进阶教程，实现订阅聚合与优选 | 周润发博客

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(69%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'zrfsub.pages.dev' is registered, featuring subdomain 'zrfsub'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of cdn.jsdelivr.net

Page Load Overview

8.10s
Total Load Time
140
HTTP Requests
12
Domains
6.4 MB
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:85,269 chars
Detector Agreement:40%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
adult content
56%
documentation technical
42%
news/blog
35%
forum
25%

Detected Features

Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2843.169.14.113Singapore
AS139341ACE
28142.251.13.154Google · CDNUnited States
AS15169Google LLC
28104.21.38.183Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
28172.66.44.113Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
28160.202.238.181China
AS146817Hubei Feixun Network Co., Ltd
1405--

Page Statistics

140
Requests
12
Unique Domains
6.9 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12AB4CAE0D5F768376A73D9E355FA1B3A70E1641AE4A40188BBFC477A63EED403807942

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:4hjekycmn8wmntd50HVXlUvEwx0CEOPkDL:L2c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:526051:BSRJKCh9NErgREPB1QASI4QQ6NUp+BIgEyYatEh2ICgSABGhSAiiFuQfoAEqvABIICliVIJCHAjIGlDE/mCUwYjGo4MEJEY4

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:00000000ffffffff
Perceptual Hash:a04218fdbd3c6cf1
Difference Hash:97c9c12156d21498
Wavelet Hash:00000000ffffffff
Color Hash:#a0d279

Other Hashes

Crop Resistant:97c9c12156d21498,494bc4aeae8cae24,dad299d9d9d9d985,964089d8c8938000

Scan History

Scan history not available

Unable to load historical scan data