CVE-2023-40954
CVE-2023-40954
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
A SQL injection vulnerability in Grzegorz Marczynski Dynamic Progress Bar (aka web_progress) v. 11.0 through 11.0.2, v12.0 through v12.0.2, v.13.0 through v13.0.2, v.14.0 through v14.0.2.1, v.15.0 through v15.0.2, and v16.0 through v16.0.2.1 allows a remote attacker to gain privileges via the recency parameter in models/web_progress.py component.
Comprehensive Technical Analysis of CVE-2023-40954
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2023-40954 CVSS Score: 9.8
The vulnerability in question is a SQL injection flaw in the Grzegorz Marczynski Dynamic Progress Bar (web_progress) component. The high CVSS score of 9.8 indicates a critical severity level, suggesting that exploitation could lead to significant impacts such as unauthorized access, data breaches, and potential system compromise.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Remote Exploitation: The vulnerability allows a remote attacker to inject malicious SQL queries through the
recencyparameter in themodels/web_progress.pycomponent. - Privilege Escalation: Successful exploitation can lead to privilege escalation, enabling the attacker to execute arbitrary SQL commands with elevated privileges.
Exploitation Methods:
- SQL Injection: An attacker can craft specially designed SQL queries to manipulate the database, extract sensitive information, or alter database contents.
- Automated Tools: Exploitation scripts and automated tools can be used to identify and exploit the vulnerability, as evidenced by the availability of exploit code in public repositories.
3. Affected Systems and Software Versions
The vulnerability affects the following versions of the Grzegorz Marczynski Dynamic Progress Bar:
- v11.0 through v11.0.2
- v12.0 through v12.0.2
- v13.0 through v13.0.2
- v14.0 through v14.0.2.1
- v15.0 through v15.0.2
- v16.0 through v16.0.2.1
Organizations using any of these versions are at risk and should prioritize mitigation efforts.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patching: Apply the patch provided in the GitHub commit 3c867f1cf7447449c81b1aa24ebb1f7ae757489f to mitigate the vulnerability.
- Upgrade: Upgrade to a non-vulnerable version of the software if available.
Long-Term Strategies:
- Input Validation: Implement robust input validation and sanitization mechanisms to prevent SQL injection attacks.
- Parameterized Queries: Use parameterized queries or prepared statements to ensure that SQL commands are executed safely.
- Regular Audits: Conduct regular security audits and code reviews to identify and address potential vulnerabilities.
- Monitoring: Implement monitoring and logging to detect and respond to suspicious activities.
5. Impact on Cybersecurity Landscape
The discovery and exploitation of CVE-2023-40954 highlight the ongoing threat of SQL injection vulnerabilities, which remain a prevalent and critical issue in web applications. This vulnerability underscores the importance of secure coding practices, regular patching, and proactive security measures. The availability of exploit code in public repositories increases the risk of widespread attacks, emphasizing the need for timely mitigation.
6. Technical Details for Security Professionals
Vulnerability Details:
- Component:
models/web_progress.py - Parameter:
recency - Exploit: The
recencyparameter is vulnerable to SQL injection, allowing an attacker to inject malicious SQL code.
Exploit Code:
- Exploit code is available in the GitHub repository OdZoo, which provides a practical example of how the vulnerability can be exploited.
Patch Information:
- The patch commit 3c867f1cf7447449c81b1aa24ebb1f7ae757489f addresses the vulnerability by implementing proper input validation and sanitization.
Detection and Response:
- Detection: Implement intrusion detection systems (IDS) and intrusion prevention systems (IPS) to detect and block SQL injection attempts.
- Response: Develop an incident response plan that includes steps for identifying, containing, and remediating SQL injection attacks.
Conclusion
CVE-2023-40954 represents a critical SQL injection vulnerability that poses significant risks to organizations using the affected versions of the Grzegorz Marczynski Dynamic Progress Bar. Immediate patching and long-term security measures are essential to mitigate the risk and protect against potential attacks. The cybersecurity community should remain vigilant and proactive in addressing such vulnerabilities to enhance overall security posture.