CVE-2020-15163
Python TUF < 0.12 Trusts Invalid Root Metadata
- CVSS 8.2
- CWE-345 Insufficient Verification of Data Authenticity
- Input Validation and Sanitization
- Remote
Python TUF (The Update Framework) reference implementation before version 0.12 it will incorrectly trust a previously downloaded root metadata file which failed verification at download time. This allows an attacker who is able to serve multiple new versions of root metadata (i.e. by a person-in-the-middle attack) culminating in a version which has not been correctly signed to control the trust chain for future updates. This is fixed in version 0.12 and newer.
- CVSS base score
- 8.2
- Published
- 2020-09-09
- OWASP
- A08 Software and Data Integrity Failures
- Orthogonal defect classification
- Function
- Code defect classification
- Incorrect Functionality
- Category
- Input Validation and Sanitization
- Subcategory
- Insecure Parsing or Deserialization
- Accessibility scope
- Remote
- Impact
- Unauthorized Access
- Fixed by upgrading
- Yes
Solution
Update to TUF version 0.12 or newer.
Vulnerable code sample
from tuf import repository_tool
def download_root_metadata(repository):
root_metadata = repository.get_root()
print("Root metadata downloaded and trusted without verification.")
return root_metadataPatched code sample
from tuf import repository_tool
from tuf import exceptions
def download_root_metadata(repository):
try:
root_metadata = repository.get_root()
repository.verify_root(root_metadata)
print("Root metadata verified successfully.")
except exceptions.MetadataError as e:
print(f"Root metadata verification failed: {e}")
raiseCite this entry
@misc{vaitp:cve202015163,
title = {{Python TUF < 0.12 Trusts Invalid Root Metadata}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2020},
note = {VAITP Python Vulnerability Dataset, entry CVE-2020-15163},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2020-15163/}}
}
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 ::
