Security Scan Report: pdfexploit.sbs

Redirected to: https://pdfexploit.sbs/exploit-pdf.html

Submitted: Dec 3, 2025, 4:36:27 PMCompleted: Dec 3, 2025, 4:37:47 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is pdfexploit.sbs and was registered NaN years ago.

Submitted URL: http://pdfexploit.sbs/exploit-pdf.html

Effective URL: https://pdfexploit.sbs/exploit-pdf.htmlRedirected

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

High‑risk phishing site impersonating GitHub; do not trust.

Risk Factors
Brand impersonation on a newly registered, unranked domain
Critical domain age (<7 days)
Mismatch between displayed brand (GitHub) and actual domain
Use of a generic 404 page to mimic legitimate service
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

Page not found · GitHub Pages

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

documentation technical

(30%)

Domain Information

Domain 'pdfexploit.sbs' uses the .sbs top-level domain and has no subdomain. Its registrable label 'pdfexploit' stretches across 10 characters holding three vowels versus 7 consonants. Breaking it apart gives 2 words: pdf, exploit. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://pdfexploit.sbs/exploit-pdf.html

Page Load Overview

0.28s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:426 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical30% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1151.243.109.175United Arab Emirates
AS209274Kraken Network ISP LTD
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D126D7F09E93305D8028E1539F227593D69440F9A866F6EB9AD1311CF8ED10E1A37CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:B5wnb1iC9OA9XXMa9bYnr7JMkrALQDUnulGVopLAGCALQD6vnglET31iCLL3Z:BeB8Ht3DUulGmmv3D6vglETliCfJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9365:gfMhQgeSCDI+H2BHugJQSCDAQFCEVlgBMRQIbohFg4ROUyxoQHxKGwIAWFFQcTAqIxNCASUABirGQ4QGJAJgdj7AzGSFABLg

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:e7e6fec28280ff01
Perceptual Hash:f7f722dd08dc088c
Difference Hash:4e4e4c0a0e2a160d
Wavelet Hash:fee6fec28080f701
Color Hash:#40bf59

Other Hashes

Crop Resistant:4e4e4c0a0e2a160d

Scan History

Scan history not available

Unable to load historical scan data