Exploit for CVE-2025-14847

## https://sploitus.com/exploit?id=C6A397F1-1498-592B-89A4-DE2C3CCF5EFF
# 🌊 MongoDeepDive

> **Context-Aware MongoDB Wire Protocol Exploit (CVE-2025-14847)** > *Advanced Heuristics Analyzer for Red Team Operations*

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## 💀 Overview

**MongoDeepDive** is a high-performance, asynchronous vulnerability scanner and forensic analyzer designed to detect **uninitialized memory leaks** in MongoDB servers affected by **CVE-2025-14847**.

Unlike standard PoC scripts that merely check for response size, MongoDeepDive employs **Shannon Entropy** analysis and heuristic filtering to distinguish between empty memory padding (garbage) and high-value secrets (e.g., Private Keys, AWS Tokens, Passwords).

This tool is engineered for **Security Architects** and **Red Teamers** who need actionable intelligence, not just noise.

### 📺 Demo Output

```text
────────────────────────── MongoDeepDive - Tunahan Tekeoğlu ──────────────────────────
Scanning... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:02

[+] VULNERABLE: 192.168.1.15:27017 | Response Size: 65552 bytes
    └── SECRETS FOUND: 3 critical blocks extracted
       ➜ SECRET_EXPOSED (AWS_KEY)
       ➜ HIGH_ENTROPY (Key/Encrypted)
       ➜ SECRET_EXPOSED (DB_URI)

[+] VULNERABLE: 192.168.1.18:27017 | Response Size: 65552 bytes
    └── Leak confirmed, but memory content is currently empty/low-entropy.

Scan Complete. Report saved to mongo_audit.json

## 🚀 Key Features

- **🧠 Heuristic Intelligence:** Real-time entropy calculation to identify encrypted data or keys within leaked memory chunks.
- **⚡ High-Performance AsyncIO:** Scans hundreds of targets simultaneously with minimal resource footprint.
- **🛡️ Smart Filtering:** Automatically removes null bytes and filters out low-entropy "junk" data.
- **⚗️ Hybrid Analysis:** Reports both the raw leak size (Scanner Mode) and the analyzed content (Forensic Mode).
- **👻 Stealth Mode:** Includes a `--safe` flag for throttled, production-safe scanning.
- **JSON Export:** Structured output for easy integration with vulnerability management platforms.

## 📦 Installation

```bash
# Clone the repository
git clone [https://github.com/YOUR_USERNAME/MongoDeepDive.git](https://github.com/YOUR_USERNAME/MongoDeepDive.git)

# Enter the directory
cd MongoDeepDive

# Install dependencies
pip install -r requirements.txt

```

*(Note: Requires `rich` library for CLI visualization)*

## 🛠️ Usage

### 1. Mass Scanning (List Mode)

Scan a list of targets with high concurrency and generate a JSON report:

```bash
python3 mongo_deep_dive.py -l targets.txt -o report.json -c 50

```

### 2. Deep Extraction (Single Target)

Aggressively siphon memory from a confirmed target to hunt for secrets (e.g., sending 1000 packets):

```bash
python3 mongo_deep_dive.py -t 192.168.1.10 -n 1000

```

### 3. Production / Stealth Mode

Enable throttling to avoid network saturation or service instability on legacy systems:

```bash
python3 mongo_deep_dive.py -l targets.txt --safe

```

## 🧠 How It Works

1. **Payload Injection:** Sends a malformed `OP_COMPRESSED` packet with a spoofed uncompressed size.
2. **Memory Leak:** The vulnerable server allocates memory based on the spoofed size but fails to initialize it, returning raw heap data.
3. **Entropy Analysis:** The tool calculates the Shannon Entropy of the returned bytes.
* **Entropy > 4.5:** Likely Encrypted Data, Keys, or Compressed Strings.
* **Entropy 
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