Sploitus

Exploit for External Control of Assumed-Immutable Web Parameter in Google Chrome

githubexploit · 2026-08-03

Exploit Code

README74 lines
## https://sploitus.com/exploit?id=21BFAFEA-CB5D-5D19-A1C3-663081C3F58F
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## 10. CVE-2026-9998 – Insecure Deserialization in Blockchain Oracle

### Overview
A blockchain oracle node deserializes data from a smart contract event using Python’s `pickle`, allowing an attacker to execute arbitrary commands.

**Severity:** Critical (Full Node Compromise)

### Oracle Simulation & Exploit

```python
#!/usr/bin/env python3
"""
vulnerable_oracle.py - Oracle node that listens to events and deserializes data unsafely.
"""
import pickle, socketserver, threading, time, base64

# Simulated blockchain event: attacker can emit a log with a pickled payload.
# The oracle fetches the log data and processes it.

class Oracle:
    def process_event(self, log_data_b64):
        data = base64.b64decode(log_data_b64)
        # VULNERABILITY: deserializing untrusted pickle
        obj = pickle.loads(data)
        # The object could be anything; we expect a dict with 'price'
        print(f"Price update: {obj.get('price', 'N/A')}")
        return obj

# Simulate an event listener (HTTP server) where attacker pushes events
class EventHandler(socketserver.BaseRequestHandler):
    def handle(self):
        data = self.request.recv(4096).strip()
        # data is base64 pickled payload
        oracle.process_event(data.decode())
        self.request.sendall(b"OK\n")

def run_server():
    server = socketserver.TCPServer(("0.0.0.0", 9999), EventHandler)
    server.serve_forever()

if __name__ == '__main__':
    threading.Thread(target=run_server, daemon=True).start()
    # Keep oracle running
    time.sleep(1)
    print("Oracle listening on :9999")
    while True: time.sleep(10)

```

# CVE-2026-9998 – Blockchain Oracle Insecure Deserialization (RCE)

![Severity: Critical](https://img.shields.io/badge/severity-critical-red)

## đź“– Overview

A decentralized oracle node processes off‑chain data by deserializing Python pickled objects from untrusted smart contract events. An attacker can inject a malicious pickle that executes arbitrary system commands, compromising the entire node.

## ⚙️ Vulnerability Details

- **Type:** Insecure Deserialization
- **Impact:** Remote Code Execution on the oracle node
- **Root Cause:** The oracle uses Python’s `pickle.loads()` on data obtained from an external, attacker‑controlled source without any validation.

## đź§Ş Exploit Demonstration

1. Start the vulnerable oracle:
   ```bash
   python vulnerable_oracle.py
2. Run the exploit:
   ```bash
   python oracle_exploit.py