Description
Kohya_ss is a GUI for Kohya's Stable Diffusion trainers. Kohya_ss is vulnerable to a command injection in `git_caption_gui.py`. This vulnerability is fixed in 23.1.5.
EPSS Score:
3%
Comprehensive Technical Analysis of EUVD-2024-29864
1. Vulnerability Assessment and Severity Evaluation
Vulnerability Description:
Kohya_ss, a GUI for Kohya's Stable Diffusion trainers, is vulnerable to a command injection in the git_caption_gui.py file. This vulnerability allows an attacker to execute arbitrary commands on the host system.
Severity Evaluation:
The vulnerability has a CVSS (Common Vulnerability Scoring System) base score of 9.1, which is considered critical. The CVSS vector CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N indicates the following:
- Attack Vector (AV): Network (N)
- Attack Complexity (AC): Low (L)
- Privileges Required (PR): None (N)
- User Interaction (UI): None (N)
- Scope (S): Unchanged (U)
- Confidentiality (C): High (H)
- Integrity (I): High (H)
- Availability (A): None (N)
This score reflects the high impact on confidentiality and integrity, making it a severe vulnerability.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Remote Exploitation: An attacker can exploit this vulnerability over the network without requiring any user interaction.
- Command Injection: The attacker can inject malicious commands into the
git_caption_gui.pyscript, leading to arbitrary command execution on the host system.
Exploitation Methods:
- Crafted Input: An attacker can send specially crafted input to the vulnerable script, which will be executed by the system.
- Automated Scripts: Attackers can use automated scripts to scan for vulnerable instances of Kohya_ss and exploit them en masse.
3. Affected Systems and Software Versions
Affected Software:
- Kohya_ss versions 22.6.1 and all versions below 23.1.5.
Affected Systems:
- Any system running the vulnerable versions of Kohya_ss, including but not limited to:
- Development environments
- Production servers
- Personal computers used for machine learning tasks
4. Recommended Mitigation Strategies
Immediate Actions:
- Update Software: Upgrade to Kohya_ss version 23.1.5 or later, which includes the fix for this vulnerability.
- Disable Access: Temporarily disable or restrict access to the vulnerable script until the update can be applied.
Long-Term Mitigations:
- Input Validation: Implement robust input validation and sanitization to prevent command injection.
- Least Privilege: Ensure that the application runs with the least privileges necessary to minimize the impact of any potential exploitation.
- Regular Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
5. Impact on European Cybersecurity Landscape
Regional Impact:
- Critical Infrastructure: If Kohya_ss is used in critical infrastructure or sensitive environments, the vulnerability could lead to significant security breaches.
- Data Protection: The high confidentiality and integrity impact could result in data breaches, violating GDPR and other data protection regulations.
- Economic Impact: Organizations relying on Kohya_ss for machine learning tasks may face operational disruptions and financial losses.
Regulatory Compliance:
- GDPR: Organizations must ensure that they comply with GDPR by protecting personal data and reporting any breaches promptly.
- NIS Directive: Critical infrastructure operators must adhere to the Network and Information Systems (NIS) Directive, ensuring robust cybersecurity measures are in place.
6. Technical Details for Security Professionals
Vulnerability Details:
- File Affected:
git_caption_gui.py - Vulnerable Function: The specific function or line of code where the command injection occurs is not detailed in the advisory but can be inferred from the commit reference.
Commit Reference:
- Fix Commit: 831af8babeb75faff62bcc6a8c6a4f80354f1ff1
- Advisory: GHSA-v5cm-33w8-xrj6
References:
Conclusion: This vulnerability poses a significant risk to organizations using Kohya_ss. Immediate action is required to update the software and implement additional security measures to mitigate the risk of exploitation. Regular monitoring and adherence to cybersecurity best practices are essential to protect against similar threats in the future.