CVE-2024-23086
CVE-2024-23086
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
Apfloat v1.10.1 was discovered to contain a stack overflow via the component org.apfloat.internal.DoubleModMath::modPow(double. NOTE: this is disputed by multiple third parties who believe there was not reasonable evidence to determine the existence of a vulnerability. The submission may have been based on a tool that is not sufficiently robust for vulnerability identification.
Comprehensive Technical Analysis of CVE-2024-23086
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-23086 CVSS Score: 9.8
The vulnerability in question pertains to a stack overflow in the org.apfloat.internal.DoubleModMath::modPow(double) method within Apfloat v1.10.1. A stack overflow occurs when a program writes more data to a buffer located on the stack than is actually allocated for that buffer, leading to corruption of adjacent memory. This type of vulnerability can be particularly severe because it can lead to arbitrary code execution, denial of service, or other unintended behaviors.
The CVSS score of 9.8 indicates a critical severity level. This high score is likely due to the potential for remote code execution and the ease with which the vulnerability might be exploited. However, it is important to note that the existence of this vulnerability is disputed by multiple third parties, who question the robustness of the tools used for its identification.
2. Potential Attack Vectors and Exploitation Methods
Given the nature of the vulnerability, potential attack vectors include:
- Remote Code Execution (RCE): An attacker could craft a specially designed input to the
modPowmethod that causes a stack overflow, allowing them to execute arbitrary code on the affected system. - Denial of Service (DoS): An attacker could exploit the stack overflow to crash the application, leading to a denial of service.
- Privilege Escalation: If the vulnerable application runs with elevated privileges, an attacker could use the stack overflow to escalate their privileges on the system.
Exploitation methods might involve:
- Fuzzing: Using automated tools to generate a large number of inputs to the
modPowmethod to identify inputs that cause a stack overflow. - Buffer Overflow Techniques: Crafting specific payloads that overwrite the return address on the stack to redirect execution flow to malicious code.
3. Affected Systems and Software Versions
The vulnerability specifically affects Apfloat v1.10.1. Apfloat is a high-performance arbitrary-precision decimal floating-point library for Java. Any system or application that uses this version of Apfloat is potentially at risk. This includes:
- Java Applications: Any Java application that incorporates Apfloat v1.10.1 for high-precision arithmetic.
- Embedded Systems: Systems that use Java and rely on Apfloat for critical calculations.
- Financial Software: Applications in the financial sector that require high-precision arithmetic for calculations.
4. Recommended Mitigation Strategies
To mitigate the risk associated with this vulnerability, the following strategies are recommended:
- Upgrade to a Patched Version: If available, upgrade to a version of Apfloat that has addressed this vulnerability.
- Input Validation: Implement strict input validation to ensure that inputs to the
modPowmethod are within expected ranges and do not cause a stack overflow. - Memory Protection: Use memory protection techniques such as stack canaries, which can detect stack overflow attempts.
- Code Review: Conduct a thorough code review of the
modPowmethod and related code to identify and fix any potential issues. - Monitoring and Logging: Implement monitoring and logging to detect any unusual behavior or attempts to exploit the vulnerability.
5. Impact on Cybersecurity Landscape
The discovery of this vulnerability highlights several important points in the cybersecurity landscape:
- Tool Reliability: The dispute over the existence of the vulnerability underscores the importance of using reliable and robust tools for vulnerability identification.
- Supply Chain Security: Vulnerabilities in third-party libraries can have a wide-ranging impact, affecting numerous applications and systems that rely on them.
- Proactive Measures: The need for proactive measures such as regular code reviews, input validation, and memory protection to mitigate the risk of such vulnerabilities.
6. Technical Details for Security Professionals
For security professionals, the following technical details are pertinent:
- Vulnerable Method:
org.apfloat.internal.DoubleModMath::modPow(double) - Potential Exploit Code: Crafting a payload that overflows the stack buffer in the
modPowmethod. - Detection: Use static and dynamic analysis tools to detect stack overflow conditions. Tools like Valgrind, AddressSanitizer, and fuzzing frameworks can be particularly useful.
- Patching: If a patch is not available, consider implementing a custom fix by adding bounds checking to the
modPowmethod.
In conclusion, while the existence of CVE-2024-23086 is disputed, the potential severity of a stack overflow vulnerability in a widely-used library like Apfloat warrants immediate attention and mitigation efforts. Organizations should prioritize updating to a patched version and implementing additional security measures to protect against potential exploitation.