CVE-2022-2996
Python-scciclient: Unverified HTTPS, MITM risk
- CVSS 7.4
- CWE-295 Improper Certificate Validation
- Cryptographic
- Remote
A flaw was found in the python-scciclient when making an HTTPS connection to a server where the server's certificate would not be verified. This issue opens up the connection to possible Man-in-the-middle (MITM) attacks.
- CVSS base score
- 7.4
- Published
- 2022-09-01
- OWASP
- A08 Software and Data Integrity Failures
- Orthogonal defect classification
- Function
- Code defect classification
- Incorrect Functionality
- Category
- Cryptographic
- Subcategory
- Improper SSL/TLS Certificate Validation
- Accessibility scope
- Remote
- Impact
- Unauthorized Access
- Fixed by upgrading
- Yes
Solution
Update python-scciclient to the latest version.
Vulnerable code sample
import hashlib
def encrypt_data(data, key):
# VULNERABLE: Using weak MD5 for encryption
# MD5 is cryptographically broken
hash_key = hashlib.md5(key.encode()).hexdigest()
# Simple XOR "encryption" with MD5 hash
encrypted = ""
for i, char in enumerate(data):
encrypted += chr(ord(char) ^ ord(hash_key[i % len(hash_key)]))
return encrypted
# Example of vulnerable usage:
# weak_encrypted = encrypt_data("secret", "password") # Weak encryptionPatched code sample
import hashlib
import secrets
import base64
from cryptography.fernet import Fernet
def encrypt_data(data, password):
# SECURE: Use strong encryption with proper key derivation
if not isinstance(data, str) or not isinstance(password, str):
raise ValueError("Data and password must be strings")
# Generate a random salt
salt = secrets.token_bytes(16)
# Derive a strong key using PBKDF2
key = hashlib.pbkdf2_hmac('sha256', password.encode(), salt, 100000)
# Use Fernet for authenticated encryption
fernet_key = base64.urlsafe_b64encode(key)
fernet = Fernet(fernet_key)
# Encrypt the data
encrypted_data = fernet.encrypt(data.encode())
# Return salt + encrypted data for storage
return base64.b64encode(salt + encrypted_data).decode()
def decrypt_data(encrypted_data, password):
# SECURE: Corresponding decryption function
try:
# Decode the stored data
combined_data = base64.b64decode(encrypted_data.encode())
# Extract salt and encrypted data
salt = combined_data[:16]
encrypted = combined_data[16:]
# Derive the same key
key = hashlib.pbkdf2_hmac('sha256', password.encode(), salt, 100000)
fernet_key = base64.urlsafe_b64encode(key)
fernet = Fernet(fernet_key)
# Decrypt and return
decrypted_data = fernet.decrypt(encrypted)
return decrypted_data.decode()
except Exception as e:
raise ValueError(f"Decryption failed: {e}")
# Example of secure usage:
# strong_encrypted = encrypt_data("secret", "password") # Strong AES encryption
# decrypted = decrypt_data(strong_encrypted, "password") # Secure decryptionCite this entry
@misc{vaitp:cve20222996,
title = {{Python-scciclient: Unverified HTTPS, MITM risk}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2022},
note = {VAITP Python Vulnerability Dataset, entry CVE-2022-2996},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2022-2996/}}
}
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.
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