CVE-2023-47204
Unsafe YAML deserialization in transmute-core before 1.13.5 in yaml.Loader
- CVSS 9.8
- CWE-502 Deserialization of Untrusted Data
- Input Validation and Sanitization
- Local
Unsafe YAML deserialization in yaml.Loader in transmute-core before 1.13.5 allows attackers to execute arbitrary Python code.
- CVSS base score
- 9.8
- Published
- 2023-11-02
- OWASP
- A03 Injection
- Orthogonal defect classification
- Timing/Serialization
- Code defect classification
- Serialization Issues
- Category
- Input Validation and Sanitization
- Subcategory
- Insecure Parsing or Deserialization
- Accessibility scope
- Local
- Impact
- Arbitrary Code Execution
- Fixed by upgrading
- Yes
Solution
Update transmute-core to version 1.13.5 or later
Vulnerable code sample
import yaml
def load_yaml(yaml_string):
return yaml.load(yaml_string, Loader=yaml.Loader)
yaml_data = """
!!python/object/apply:os.system ['echo Hello, World!']
"""
result = load_yaml(yaml_data)Patched code sample
import yaml
def load_yaml(yaml_string):
return yaml.safe_load(yaml_string)
yaml_data = """
!!python/object/apply:os.system ['echo Hello, World!']
"""
try:
result = load_yaml(yaml_data)
except Exception as e:
print(f"Error: {e}")Cite this entry
@misc{vaitp:cve202347204,
title = {{Unsafe YAML deserialization in transmute-core before 1.13.5 in yaml.Loader}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2023},
note = {VAITP Python Vulnerability Dataset, entry CVE-2023-47204},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2023-47204/}}
}
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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