Get a Pentest and security assessment of your IT network.

Cyber Security

Simple Key Exchange: Security Risks & Fixes

TL;DR

The simple key exchange method described is highly vulnerable to a man-in-the-middle attack. This guide explains the weaknesses and provides practical steps to secure it using Diffie-Hellman key exchange with proper validation.

Understanding the Problem

A basic key exchange involves two parties (Alice and Bob) agreeing on a shared secret without directly transmitting it. A common, but insecure, approach is for Alice to generate a random key, send it to Bob, and then Bob generates another random key and sends that back. The problem? Anyone intercepting the messages can see both keys and compromise the communication.

Securing Key Exchange: Diffie-Hellman

Diffie-Hellman allows Alice and Bob to create a shared secret without ever sending their private keys across the network. Here’s how to implement it securely:

  1. Choose Public Parameters: Both Alice and Bob agree on:
    • A large prime number p.
    • A generator g (a number smaller than p).

    These can be pre-agreed or obtained from a trusted source. Larger primes are better for security.

  2. Alice’s Private Key: Alice chooses a secret random number a.
  3. Bob’s Private Key: Bob chooses a secret random number b.
  4. Calculate Public Keys:
    • Alice calculates A = ga mod p and sends it to Bob.
    • Bob calculates B = gb mod p and sends it to Alice.
  5. Compute Shared Secret:
    • Alice computes s = Ba mod p.
    • Bob computes s = Ab mod p.

    Both Alice and Bob now have the same shared secret s.

Practical Implementation & Code Example (Python)

Here’s a basic Python example using the cryptography library:

from cryptography.fernet import Fernet
from cryptography.hazmat.primitives.asymmetric import dh
import secrets

p = 23  # Example prime - use much larger in production!
g = 5   # Example generator - use a secure one.

def generate_keys():
    private_key_alice = secrets.randbelow(p-1)
    public_key_alice = pow(g, private_key_alice, p)
    return private_key_alice, public_key_alice

def calculate_shared_secret(my_private_key, other_public_key):
    return pow(other_public_key, my_private_key, p)

# Alice's side
alice_private, alice_public = generate_keys()
bob_public = 19 # Bob sends this to Alice (example)
alice_shared_secret = calculate_shared_secret(alice_private, bob_public)
print(f"Alice Shared Secret: {alice_shared_secret}")

# Bob's side
bob_private, bob_public = generate_keys()
alice_public = 10 # Alice sends this to Bob (example)
bob_shared_secret = calculate_shared_secret(bob_private, alice_public)
print(f"Bob Shared Secret: {bob_shared_secret}")

Important Security Considerations

  1. Man-in-the-Middle (MitM) Prevention: Diffie-Hellman *itself* doesn’t prevent MitM attacks. An attacker could intercept Alice and Bob’s public keys and replace them with their own.
  2. Digital Signatures/Certificates: To verify the identity of Alice and Bob, use digital signatures or certificates (e.g., using TLS/SSL). This ensures you’re exchanging keys with the intended parties.
  3. Key Validation: Always validate that the received public key is within a reasonable range. Check it’s not zero or negative.
  4. Strong Random Number Generation: Use cryptographically secure random number generators (like secrets in Python) for private keys. Avoid predictable numbers.
  5. Large Prime Numbers: Employ sufficiently large prime numbers (at least 2048 bits) to make the exchange resistant to attacks like discrete logarithm problems.
  6. Elliptic Curve Diffie-Hellman (ECDH): Consider using ECDH, which offers better security for a given key size compared to standard Diffie-Hellman.

Summary

While the simple key exchange is easy to understand, it’s fundamentally insecure. Diffie-Hellman provides a much stronger foundation, but requires careful implementation and integration with identity verification mechanisms (like digital signatures) to protect against man-in-the-middle attacks. Always use established cyber security libraries and follow best practices.

Related posts
Cyber Security

Zip Codes & PII: Are They Personal Data?

Cyber Security

Zero-Day Vulnerabilities: User Defence Guide

Cyber Security

Zero Knowledge Voting with Trusted Server

Cyber Security

ZeroNet: 51% Attack Risks & Mitigation