CVE-2024-55532
CVE-2024-55532
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
Improper Neutralization of Formula Elements in Export CSV feature of Apache Ranger in Apache Ranger Version < 2.6.0. Users are recommended to upgrade to version 2.6.0, which fixes this issue.
Comprehensive Technical Analysis of CVE-2024-55532
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-55532 CISA Vulnerability Name: CVE-2024-55532 CVSS Score: 9.8
The vulnerability in question pertains to the "Improper Neutralization of Formula Elements in Export CSV feature" of Apache Ranger. This issue is present in versions of Apache Ranger prior to 2.6.0. The CVSS score of 9.8 indicates a critical severity level, suggesting that the vulnerability could be exploited to cause significant damage.
2. Potential Attack Vectors and Exploitation Methods
The vulnerability arises from the improper handling of formula elements within the CSV export feature. This could potentially allow an attacker to inject malicious formulas into the CSV files, which could be executed by applications that open these files. Possible attack vectors include:
- CSV Injection: An attacker could craft a CSV file with malicious formulas that, when opened by a vulnerable application, could execute arbitrary commands or scripts.
- Phishing Attacks: Malicious CSV files could be distributed via phishing emails, enticing users to open them and thereby triggering the exploit.
- Supply Chain Attacks: Compromised CSV files could be introduced into the supply chain, affecting downstream systems that process these files.
3. Affected Systems and Software Versions
Affected Software: Apache Ranger Affected Versions: All versions prior to 2.6.0
Any organization or individual using Apache Ranger versions below 2.6.0 is at risk. This includes systems where Apache Ranger is deployed for data governance and security administration.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Upgrade: Users are strongly advised to upgrade to Apache Ranger version 2.6.0 or later, which includes the fix for this vulnerability.
- Patch Management: Ensure that all systems are regularly updated and patched to mitigate known vulnerabilities.
Additional Mitigation:
- Input Validation: Implement strict input validation and sanitization for any data being exported to CSV files.
- User Awareness: Educate users about the risks associated with opening CSV files from untrusted sources.
- Network Segmentation: Segment networks to limit the spread of potential attacks.
- Monitoring and Logging: Enhance monitoring and logging to detect any suspicious activities related to CSV file handling.
5. Impact on Cybersecurity Landscape
The discovery of this vulnerability highlights the ongoing challenge of securing data export and import functionalities. It underscores the importance of robust input validation and the need for continuous monitoring and updating of software. The high CVSS score indicates the potential for severe impacts, including data breaches, unauthorized access, and system compromises.
6. Technical Details for Security Professionals
Vulnerability Type: Improper Neutralization of Formula Elements Affected Feature: Export CSV feature in Apache Ranger Exploitation: The vulnerability can be exploited by injecting malicious formulas into CSV files, which are then executed by applications that open these files.
Detection and Response:
- Detection: Implement file integrity monitoring (FIM) to detect unauthorized changes to CSV files. Use intrusion detection systems (IDS) to monitor for suspicious network activities.
- Response: In case of an incident, isolate affected systems, perform a thorough investigation, and apply necessary patches. Conduct a post-incident review to identify and address any gaps in security measures.
References:
By addressing this vulnerability promptly and implementing robust security measures, organizations can significantly reduce the risk of exploitation and protect their systems and data from potential attacks.