Description
A remote code execution (RCE) vulnerability exists in the ms-swift project version 3.3.0 due to unsafe deserialization in tests/run.py using yaml.load() from the PyYAML library (versions = 5.3.1). If an attacker can control the content of the YAML configuration file passed to the --run_config parameter, arbitrary code can be executed during deserialization. This can lead to full system compromise. The vulnerability is triggered when a malicious YAML file is loaded, allowing the execution of arbitrary Python commands such as os.system(). It is recommended to upgrade PyYAML to version 5.4 or higher, and to use yaml.safe_load() to mitigate the issue.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2025-23369
1. Vulnerability Assessment and Severity Evaluation
The vulnerability EUVD-2025-23369 is a remote code execution (RCE) issue in the ms-swift project version 3.3.0. It arises from unsafe deserialization in the tests/run.py file, specifically due to the use of yaml.load() from the PyYAML library version 5.3.1. The vulnerability allows an attacker to execute arbitrary code if they can control the content of the YAML configuration file passed to the --run_config parameter.
Severity Evaluation:
- CVSS Base Score: 9.8
- CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
This high severity score indicates that the vulnerability is critical. The attack vector is network-based (AV:N), requires low complexity (AC:L), does not need privileges (PR:N) or user interaction (UI:N), and has a high impact on confidentiality, integrity, and availability (C:H/I:H/A:H).
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network-Based Attack: An attacker can exploit this vulnerability over the network by crafting a malicious YAML file and ensuring it is loaded by the
--run_configparameter. - Supply Chain Attack: If the YAML configuration files are sourced from an external or untrusted source, an attacker could inject malicious content into these files.
Exploitation Methods:
- Arbitrary Code Execution: By embedding malicious Python code within the YAML file, an attacker can execute commands such as
os.system()to gain control over the system. - Privilege Escalation: If the application runs with elevated privileges, the attacker can gain higher-level access to the system.
3. Affected Systems and Software Versions
Affected Software:
- ms-swift project version 3.3.0
- PyYAML library version 5.3.1
Affected Systems:
- Any system running the ms-swift project version 3.3.0 with the vulnerable PyYAML library.
- Systems that process YAML configuration files from untrusted sources.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Upgrade PyYAML: Upgrade the PyYAML library to version 5.4 or higher, which includes fixes for unsafe deserialization issues.
- Use Safe Loading: Replace
yaml.load()withyaml.safe_load()in thetests/run.pyfile to prevent arbitrary code execution.
Long-Term Mitigation:
- Input Validation: Implement strict input validation for YAML configuration files to ensure they come from trusted sources.
- Least Privilege: Run the application with the least privileges necessary to minimize the impact of a successful exploit.
- Regular Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
5. Impact on European Cybersecurity Landscape
The vulnerability poses a significant risk to organizations and individuals within the European Union, particularly those using the ms-swift project. The potential for full system compromise can lead to data breaches, financial loss, and disruption of services. Given the critical nature of the vulnerability, it underscores the importance of robust cybersecurity practices and timely patch management.
6. Technical Details for Security Professionals
Vulnerability Details:
- Location:
tests/run.pyfile, specifically line 420. - Vulnerable Function:
yaml.load() - Exploitation: The vulnerability is triggered when a malicious YAML file is loaded, allowing the execution of arbitrary Python commands.
Mitigation Code Example:
import yaml
# Replace yaml.load with yaml.safe_load
with open('config.yaml', 'r') as file:
config = yaml.safe_load(file)
References:
Conclusion: The EUVD-2025-23369 vulnerability highlights the importance of secure coding practices, particularly in handling deserialization. Organizations should prioritize upgrading affected libraries and implementing secure coding guidelines to mitigate such risks. Regular security assessments and timely updates are crucial in maintaining a robust cybersecurity posture.