Summary
The software uses Python's random module for generating API keys. This module relies on a cryptographically weak pseudo-random number generator (Mersenne Twister), which could allow an attacker to predict the generated API keys.
Details
Vulnerability Description
The API key generation process in this software relies on a cryptographically weak Pseudo-Random Number Generator (PRNG), specifically the "Mersenne Twister" algorithm. While Mersenne Twister has good statistical properties, it is deterministic and therefore not suitable for generating security-sensitive values like API keys.
Steps to Reproduce
Tracing the API Key Generation Flow
The generate_api_key() method, responsible for generating API keys, was found to call the generate_string() function to create a random string.
Identifying the Insecure Random Function
The generate_string() function was found to use random.choice() from Python's standard library to select characters for the string.
Confirming the random Module's Specification
According to Python's official documentation, the random module uses Mersenne Twister as its core generator. The same documentation explicitly warns that it is deterministic and completely unsuitable for cryptographic purposes.
Python uses the Mersenne Twister as the core generator. ... However, being completely deterministic, it is not suitable for all purposes, and is completely unsuitable for cryptographic purposes.
(Source: Python Official Documentation - random)
PoC
The following code demonstrates that by fixing the seed of the random module, the same API key is consistently generated, proving the deterministic (and thus predictable) nature of the random number generator.
import random
import string
# A simplified version of the potentially vulnerable function
def generate_string(n):
letters_digits = string.ascii_letters + string.digits
return ''.join(random.choice(letters_digits) for i in range(n))
# 1. Generate an API key with a fixed seed
random.seed(12345)
api_key_1 = generate_string(24)
print(f"First generation (seed=12345): {api_key_1}")
# 2. Generate another API key with the same fixed seed
random.seed(12345)
api_key_2 = generate_string(24)
print(f"Second generation (seed=12345): {api_key_2}")
# 3. Verify the results
assert api_key_1 == api_key_2
print("\nConfirmed that the same API key is always generated from the same seed.")
Impact
This vulnerability may allow an attacker to predict generated API keys. If an attacker successfully predicts a key, they could impersonate legitimate users, leading to unauthorized access to confidential information, data tampering, or other malicious actions.
Summary
The software uses Python's random module for generating API keys. This module relies on a cryptographically weak pseudo-random number generator (Mersenne Twister), which could allow an attacker to predict the generated API keys.
Details
Vulnerability Description
The API key generation process in this software relies on a cryptographically weak Pseudo-Random Number Generator (PRNG), specifically the "Mersenne Twister" algorithm. While Mersenne Twister has good statistical properties, it is deterministic and therefore not suitable for generating security-sensitive values like API keys.
Steps to Reproduce
Tracing the API Key Generation Flow
The
generate_api_key()method, responsible for generating API keys, was found to call thegenerate_string()function to create a random string.Identifying the Insecure Random Function
The
generate_string()function was found to userandom.choice()from Python's standard library to select characters for the string.Confirming the random Module's Specification
According to Python's official documentation, the
randommodule uses Mersenne Twister as its core generator. The same documentation explicitly warns that it is deterministic and completely unsuitable for cryptographic purposes.Python uses the Mersenne Twister as the core generator. ... However, being completely deterministic, it is not suitable for all purposes, and is completely unsuitable for cryptographic purposes.
(Source: Python Official Documentation - random)
PoC
The following code demonstrates that by fixing the seed of the random module, the same API key is consistently generated, proving the deterministic (and thus predictable) nature of the random number generator.
Impact
This vulnerability may allow an attacker to predict generated API keys. If an attacker successfully predicts a key, they could impersonate legitimate users, leading to unauthorized access to confidential information, data tampering, or other malicious actions.