Security Scan Report: 1135-github-io.pages.dev

Redirected to:
https://1135-github-io.pages.dev/sites/markdown2pdf/
Submitted: Apr 23, 2026, 12:12:58 PMCompleted: Apr 23, 2026, 12:14:11 PMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 10 HTTP transactions. The main domain is 1135-github-io.pages.dev and was registered NaN years ago.

Submitted URL: https://1135-github-io.pages.dev/sites/markdown2pdf/index.html

Effective URL: https://1135-github-io.pages.dev/sites/markdown2pdf/Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no malicious activity, lacks forms, and has no IoC matches, resulting in a low‑risk classification.

Risk Factors
Unknown subdomain age on a hosting platform
Unranked domain reputation
Safety Factors
No credential or payment forms present
No malicious JavaScript or YARA matches
No network IDS alerts or external malicious links
Domain age information unavailable

Details

Page Title

Markdown to PDF - 1135

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(53%)

Domain Information

Domain '1135-github-io.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain '1135-github-io'. Its registrable label 'pages' stretches across 5 characters with two vowels and three consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://1135-github-io.pages.dev/sites/markdown2pdf/index.html

Page Load Overview

2.87s
Total Load Time
20
HTTP Requests
5
Domains
263 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
HTML Lang Attribute:zh-CN
Text Length:6,908 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
53%
phishing scam
49%
technology software
42%
adult content
38%
corporate business
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.16.174.226United States
4104.17.25.14United States
AS13335Cloudflare, Inc.
4104.18.1.22United States
AS13335Cloudflare, Inc.
4172.67.75.15United States
4188.114.96.3United States
AS13335Cloudflare, Inc.
205--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E943965E4F30132403391EDA3EBFF5835649103E245C928FAAD43681F8AE6179A6FDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:7bdZOzhBAm0IEI897ZuOyAIY9PLBm0IEELY:7zOzwxPVx6Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:434845:1lUCQ7ASAFBCSGg4MWKGgAydDSQAMYUHSVAFBRNBUSSCiIBCiEYMQKKKA8rEMEgAqivUnJrkZM2iRIBgLICADNDANGCADTUA

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:000f0f0f0f0f0f00
Perceptual Hash:91b14e6f4e46b166
Difference Hash:455a181a5a5858c1
Wavelet Hash:2f8f0f8f0f0f0f20
Color Hash:#bf9340

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data