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CVE-2024-21634: Denial-of-Service Vulnerability in Amazon Ion Java Implementation

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Overview

This report details a significant vulnerability in Amazon Ion’s Java implementation. The issue, identified as CVE-2024-21634, primarily affects applications that utilize the `ion-java` library to deserialize Ion text encoded data. If successfully exploited, this vulnerability can cause denial-of-service (DoS) issues, resulting in the potential for system compromise or data leakage. It is therefore vital for organizations using the affected versions of the `ion-java` library to take immediate action to mitigate this risk.

Vulnerability Summary

CVE ID: CVE-2024-21634
Severity: High (7.5 CVSS)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: System compromise or data leakage

Affected Products

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Product | Affected Versions

Amazon Ion (Java implementation) | Prior to version 1.10.5

How the Exploit Works

An attacker could craft Ion data that, when loaded by the affected application and processed using the `IonValue` model, results in a `StackOverflowError` originating from the `ion-java` library. This error can lead to a denial-of-service condition, potentially causing system compromise or data leakage.

Conceptual Example Code

Below is a conceptual example of how the vulnerability might be exploited. This pseudocode represents a malicious Ion data that could cause a `StackOverflowError` when processed by the `ion-java` library.

IonValue maliciousData = IonSystemBuilder.standard().build().newReader("{ 'malicious_payload': '...' }");
IonValue result = maliciousData.get(0);

Mitigation

The most effective mitigation for this vulnerability is to apply the patch provided by the vendor, which is included in `ion-java` version 1.10.5. If this is not immediately feasible, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can provide temporary mitigation. However, these should not be viewed as long-term solutions, and the patch should be applied as soon as possible.
As a general security best practice, avoid loading data that originated from an untrusted source or that could have been tampered with.

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Disclaimer:

The information and code presented in this article are provided for educational and defensive cybersecurity purposes only. Any conceptual or pseudocode examples are simplified representations intended to raise awareness and promote secure development and system configuration practices.

Do not use this information to attempt unauthorized access or exploit vulnerabilities on systems that you do not own or have explicit permission to test.

Ameeba and its authors do not endorse or condone malicious behavior and are not responsible for misuse of the content. Always follow ethical hacking guidelines, responsible disclosure practices, and local laws.

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