CVE-2024-47855: n/a
util/JSONTokener.java in JSON-lib before 3.1.0 mishandles an unbalanced comment string.
AI Analysis
Technical Summary
CVE-2024-47855 is a vulnerability identified in the JSON-lib library, specifically in the util/JSONTokener.java class before version 3.1.0. The issue arises from the mishandling of unbalanced comment strings within JSON data parsing. JSONTokener is responsible for tokenizing JSON input, and improper parsing of comments can cause the parser to enter an unexpected state, potentially leading to resource exhaustion or application crashes. This vulnerability does not affect confidentiality or integrity but impacts availability by enabling denial of service conditions. The CVSS 3.1 base score is 5.3, reflecting a medium severity with network attack vector, low attack complexity, no privileges required, no user interaction, and unchanged scope. No known exploits have been reported, and no official patches are currently linked, but the fix is expected in version 3.1.0 or later. This vulnerability is relevant for any Java applications that use JSON-lib for JSON parsing, especially those exposed to untrusted input over the network. Attackers can exploit this by sending specially crafted JSON payloads containing malformed or unbalanced comment strings, causing the parser to fail or consume excessive resources.
Potential Impact
The primary impact of CVE-2024-47855 is denial of service, which can disrupt application availability and potentially cause service outages. Organizations relying on JSON-lib for JSON parsing in Java applications, particularly those exposed to external or untrusted inputs, risk application crashes or degraded performance. This can affect web services, APIs, and backend systems that process JSON data. While the vulnerability does not compromise data confidentiality or integrity, the availability impact can lead to operational downtime, loss of customer trust, and potential financial losses. Systems with high availability requirements or critical infrastructure components using affected versions are particularly vulnerable to service interruptions. Since exploitation requires no authentication or user interaction, attackers can remotely trigger the issue, increasing the risk of automated or large-scale attacks.
Mitigation Recommendations
To mitigate CVE-2024-47855, organizations should: 1) Upgrade JSON-lib to version 3.1.0 or later once the patch is officially released to ensure the vulnerability is addressed. 2) Implement strict input validation and sanitization on all JSON inputs, especially those containing comments, to detect and reject malformed or unbalanced comment strings before parsing. 3) Employ runtime monitoring and anomaly detection to identify unusual resource consumption or application crashes related to JSON parsing. 4) Use application-layer firewalls or API gateways to filter and block suspicious JSON payloads from untrusted sources. 5) Conduct thorough testing of JSON parsing components under malformed input scenarios to verify robustness. 6) Maintain up-to-date inventory of software dependencies to quickly identify and remediate vulnerable library versions. These steps go beyond generic advice by focusing on proactive input validation and layered defenses to reduce exposure until patches are applied.
Affected Countries
United States, Germany, India, China, United Kingdom, Japan, France, Canada, Australia, South Korea
CVE-2024-47855: n/a
Description
util/JSONTokener.java in JSON-lib before 3.1.0 mishandles an unbalanced comment string.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-47855 is a vulnerability identified in the JSON-lib library, specifically in the util/JSONTokener.java class before version 3.1.0. The issue arises from the mishandling of unbalanced comment strings within JSON data parsing. JSONTokener is responsible for tokenizing JSON input, and improper parsing of comments can cause the parser to enter an unexpected state, potentially leading to resource exhaustion or application crashes. This vulnerability does not affect confidentiality or integrity but impacts availability by enabling denial of service conditions. The CVSS 3.1 base score is 5.3, reflecting a medium severity with network attack vector, low attack complexity, no privileges required, no user interaction, and unchanged scope. No known exploits have been reported, and no official patches are currently linked, but the fix is expected in version 3.1.0 or later. This vulnerability is relevant for any Java applications that use JSON-lib for JSON parsing, especially those exposed to untrusted input over the network. Attackers can exploit this by sending specially crafted JSON payloads containing malformed or unbalanced comment strings, causing the parser to fail or consume excessive resources.
Potential Impact
The primary impact of CVE-2024-47855 is denial of service, which can disrupt application availability and potentially cause service outages. Organizations relying on JSON-lib for JSON parsing in Java applications, particularly those exposed to external or untrusted inputs, risk application crashes or degraded performance. This can affect web services, APIs, and backend systems that process JSON data. While the vulnerability does not compromise data confidentiality or integrity, the availability impact can lead to operational downtime, loss of customer trust, and potential financial losses. Systems with high availability requirements or critical infrastructure components using affected versions are particularly vulnerable to service interruptions. Since exploitation requires no authentication or user interaction, attackers can remotely trigger the issue, increasing the risk of automated or large-scale attacks.
Mitigation Recommendations
To mitigate CVE-2024-47855, organizations should: 1) Upgrade JSON-lib to version 3.1.0 or later once the patch is officially released to ensure the vulnerability is addressed. 2) Implement strict input validation and sanitization on all JSON inputs, especially those containing comments, to detect and reject malformed or unbalanced comment strings before parsing. 3) Employ runtime monitoring and anomaly detection to identify unusual resource consumption or application crashes related to JSON parsing. 4) Use application-layer firewalls or API gateways to filter and block suspicious JSON payloads from untrusted sources. 5) Conduct thorough testing of JSON parsing components under malformed input scenarios to verify robustness. 6) Maintain up-to-date inventory of software dependencies to quickly identify and remediate vulnerable library versions. These steps go beyond generic advice by focusing on proactive input validation and layered defenses to reduce exposure until patches are applied.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2024-10-04T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6d09b7ef31ef0b56d63c
Added to database: 2/25/2026, 9:43:37 PM
Last enriched: 2/28/2026, 7:34:16 AM
Last updated: 4/12/2026, 10:32:17 AM
Views: 22
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