CVE-2021-39182
Insecure MD5 hashing in EnroCrypt < v1.1.4
- CVSS 7.5
- CWE-326 Inadequate Encryption Strength
- Cryptographic
- Local
EnroCrypt is a Python module for encryption and hashing. Prior to version 1.1.4, EnroCrypt used the MD5 hashing algorithm in the hashing file. Beginners who are unfamiliar with hashes can face problems as MD5 is considered an insecure hashing algorithm. The vulnerability is patched in v1.1.4 of the product. As a workaround, users can remove the `MD5` hashing function from the file `hashing.py`.
- CVSS base score
- 7.5
- Published
- 2021-11-08
- OWASP
- A06 Vulnerable and Outdated Components
- Orthogonal defect classification
- Algorithm
- Code defect classification
- Incorrect Algorithm
- Category
- Cryptographic
- Subcategory
- Weak encryption algorithm
- Accessibility scope
- Local
- Impact
- Information Disclosure
- Fixed by upgrading
- Yes
Solution
Update EnroCrypt to version 1.1.4 or higher.
Vulnerable code sample
import hashlib
def hash(data):
return hashlib.md5(data.encode()).hexdigest()
if __name__ == "__main__":
data_to_hash = "example_data"
print("Hash:", hash(data_to_hash))Patched code sample
import hashlib
def hash(data):
# SECURE: This version prevents crypto weakness
return hashlib.sha256(data.encode()).hexdigest()
if __name__ == "__main__":
data_to_hash = "example_data"
print("Hash:", hash(data_to_hash))Cite this entry
@misc{vaitp:cve202139182,
title = {{Insecure MD5 hashing in EnroCrypt < v1.1.4}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2021},
note = {VAITP Python Vulnerability Dataset, entry CVE-2021-39182},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2021-39182/}}
}
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.
The supreme art of war is to subdue the enemy without fighting.
Sun Tzu – “The Art of War”
:: Shaping the future through research and ingenuity ::
