CVE-2024-28213: CWE-502 Deserialization of Untrusted Data in NAVER nGrinder
nGrinder before 3.5.9 allows to accept serialized Java objects from unauthenticated users, which could allow remote attacker to execute arbitrary code via unsafe Java objects deserialization.
AI Analysis
Technical Summary
CVE-2024-28213 is a critical security vulnerability identified in NAVER's nGrinder, a popular open-source performance testing platform. The issue stems from unsafe deserialization of Java objects received from unauthenticated users. Specifically, versions of nGrinder prior to 3.5.9 accept serialized Java objects without proper validation or sanitization, allowing attackers to craft malicious payloads that, when deserialized, execute arbitrary code on the server hosting nGrinder. This vulnerability is categorized under CWE-502, which highlights risks associated with deserialization of untrusted data. The vulnerability has a CVSS v3.1 base score of 9.8, indicating critical severity with network attack vector, no required privileges, no user interaction, and impacts on confidentiality, integrity, and availability. Exploiting this flaw could allow remote attackers to gain full control over the affected system, potentially leading to data breaches, system compromise, or disruption of testing environments. Although no active exploits have been reported yet, the nature of the vulnerability and its ease of exploitation make it a high-priority risk. The lack of authentication requirement and the direct exposure to network inputs exacerbate the threat. NAVER has addressed this issue in version 3.5.9, and users are strongly advised to upgrade. In addition to patching, organizations should consider limiting network exposure of nGrinder instances and implementing monitoring to detect anomalous deserialization attempts.
Potential Impact
The impact of CVE-2024-28213 is severe for organizations using nGrinder, as exploitation can lead to complete system compromise. Attackers can execute arbitrary code remotely without authentication, potentially resulting in unauthorized data access, data manipulation, or destruction. This can disrupt performance testing workflows, compromise sensitive test data, and serve as a foothold for further lateral movement within corporate networks. The vulnerability affects confidentiality, integrity, and availability simultaneously, making it a critical risk. Organizations relying on nGrinder for load and performance testing in development and production environments may face operational outages and reputational damage if exploited. Additionally, compromised systems could be leveraged to launch attacks against other internal assets or external targets. The absence of known exploits in the wild currently provides a window for proactive mitigation, but the high severity score underscores the urgency of remediation.
Mitigation Recommendations
1. Immediately upgrade all nGrinder instances to version 3.5.9 or later, where the vulnerability is patched. 2. Restrict network access to nGrinder servers by implementing firewall rules or VPN access to limit exposure to trusted users and systems only. 3. Employ application-layer filtering or Web Application Firewalls (WAFs) to detect and block suspicious serialized object payloads. 4. Monitor logs and network traffic for unusual deserialization activity or unexpected Java object payloads. 5. Conduct regular security assessments and code reviews focusing on deserialization processes in custom extensions or integrations with nGrinder. 6. Educate development and operations teams about the risks of unsafe deserialization and enforce secure coding practices. 7. If immediate patching is not feasible, consider disabling or isolating features that accept serialized objects from untrusted sources until updates can be applied. 8. Maintain an incident response plan to quickly address any signs of compromise related to this vulnerability.
Affected Countries
South Korea, United States, Japan, Germany, United Kingdom, India, China, France, Canada, Australia
CVE-2024-28213: CWE-502 Deserialization of Untrusted Data in NAVER nGrinder
Description
nGrinder before 3.5.9 allows to accept serialized Java objects from unauthenticated users, which could allow remote attacker to execute arbitrary code via unsafe Java objects deserialization.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-28213 is a critical security vulnerability identified in NAVER's nGrinder, a popular open-source performance testing platform. The issue stems from unsafe deserialization of Java objects received from unauthenticated users. Specifically, versions of nGrinder prior to 3.5.9 accept serialized Java objects without proper validation or sanitization, allowing attackers to craft malicious payloads that, when deserialized, execute arbitrary code on the server hosting nGrinder. This vulnerability is categorized under CWE-502, which highlights risks associated with deserialization of untrusted data. The vulnerability has a CVSS v3.1 base score of 9.8, indicating critical severity with network attack vector, no required privileges, no user interaction, and impacts on confidentiality, integrity, and availability. Exploiting this flaw could allow remote attackers to gain full control over the affected system, potentially leading to data breaches, system compromise, or disruption of testing environments. Although no active exploits have been reported yet, the nature of the vulnerability and its ease of exploitation make it a high-priority risk. The lack of authentication requirement and the direct exposure to network inputs exacerbate the threat. NAVER has addressed this issue in version 3.5.9, and users are strongly advised to upgrade. In addition to patching, organizations should consider limiting network exposure of nGrinder instances and implementing monitoring to detect anomalous deserialization attempts.
Potential Impact
The impact of CVE-2024-28213 is severe for organizations using nGrinder, as exploitation can lead to complete system compromise. Attackers can execute arbitrary code remotely without authentication, potentially resulting in unauthorized data access, data manipulation, or destruction. This can disrupt performance testing workflows, compromise sensitive test data, and serve as a foothold for further lateral movement within corporate networks. The vulnerability affects confidentiality, integrity, and availability simultaneously, making it a critical risk. Organizations relying on nGrinder for load and performance testing in development and production environments may face operational outages and reputational damage if exploited. Additionally, compromised systems could be leveraged to launch attacks against other internal assets or external targets. The absence of known exploits in the wild currently provides a window for proactive mitigation, but the high severity score underscores the urgency of remediation.
Mitigation Recommendations
1. Immediately upgrade all nGrinder instances to version 3.5.9 or later, where the vulnerability is patched. 2. Restrict network access to nGrinder servers by implementing firewall rules or VPN access to limit exposure to trusted users and systems only. 3. Employ application-layer filtering or Web Application Firewalls (WAFs) to detect and block suspicious serialized object payloads. 4. Monitor logs and network traffic for unusual deserialization activity or unexpected Java object payloads. 5. Conduct regular security assessments and code reviews focusing on deserialization processes in custom extensions or integrations with nGrinder. 6. Educate development and operations teams about the risks of unsafe deserialization and enforce secure coding practices. 7. If immediate patching is not feasible, consider disabling or isolating features that accept serialized objects from untrusted sources until updates can be applied. 8. Maintain an incident response plan to quickly address any signs of compromise related to this vulnerability.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- naver
- Date Reserved
- 2024-03-07T02:38:58.221Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6d8ab7ef31ef0b588105
Added to database: 2/25/2026, 9:45:46 PM
Last enriched: 2/26/2026, 11:16:01 AM
Last updated: 4/11/2026, 12:54:56 PM
Views: 10
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