CVE-2024-8447: Deadlock
A security issue was discovered in the LRA Coordinator component of Narayana. When Cancel is called in LRA, an execution time of approximately 2 seconds occurs. If Join is called with the same LRA ID within that timeframe, the application may crash or hang indefinitely, leading to a denial of service.
AI Analysis
Technical Summary
CVE-2024-8447 is a vulnerability identified in the LRA Coordinator component of the Narayana transaction manager, which is widely used in Java enterprise environments to manage distributed transactions and Long Running Actions (LRAs). The flaw arises during the Cancel operation of an LRA, which takes roughly 2 seconds to complete. If, within this 2-second window, a Join operation is invoked using the same LRA ID, the system may enter a deadlock state causing the application to crash or hang indefinitely. This results in a denial of service (DoS) condition, as the affected application becomes unresponsive. The vulnerability does not affect confidentiality or integrity but impacts availability. The CVSS 3.1 score is 5.9 (medium severity), reflecting network attack vector, high attack complexity, no privileges required, no user interaction, unchanged scope, and impact limited to availability. No known exploits have been reported yet. The root cause is a race condition or synchronization issue in handling concurrent LRA lifecycle operations, which can be triggered remotely without authentication. This vulnerability is particularly relevant for systems relying on Narayana for transaction coordination in microservices or distributed architectures, where LRAs are common. The absence of patches or workarounds at the time of publication necessitates careful operational mitigation.
Potential Impact
For European organizations, the primary impact is denial of service on applications using Narayana's LRA Coordinator. This can disrupt business-critical distributed transactions, causing application downtime and degraded service availability. Industries relying on Java middleware for financial services, telecommunications, manufacturing, or public sector applications could experience operational interruptions. Although no data breach or integrity compromise is involved, service outages can lead to financial losses, reputational damage, and compliance risks under regulations like GDPR if service availability commitments are violated. The medium severity score reflects the limited scope to availability but the potential for significant disruption in environments with high transaction volumes or strict uptime requirements. Organizations with automated orchestration or microservices architectures that frequently invoke Cancel and Join operations concurrently are at higher risk. The lack of known exploits reduces immediate threat but does not eliminate risk, especially if attackers develop denial of service attacks targeting this vulnerability.
Mitigation Recommendations
To mitigate CVE-2024-8447, organizations should implement the following specific measures: 1) Audit and review application logic to prevent concurrent Cancel and Join calls on the same LRA ID within the 2-second execution window, possibly by introducing synchronization or queuing mechanisms at the application level. 2) Monitor application logs and performance metrics for signs of hangs or crashes related to LRA operations to detect exploitation attempts early. 3) Engage with Narayana or Red Hat support channels to obtain patches or updates addressing this issue as soon as they become available and prioritize their deployment in test and production environments. 4) If patching is delayed, consider isolating or limiting access to services that expose LRA Coordinator endpoints to reduce attack surface. 5) Implement rate limiting or throttling on LRA lifecycle API calls to prevent rapid repeated Cancel and Join invocations. 6) Conduct thorough testing of distributed transaction workflows to identify and remediate potential race conditions. These targeted mitigations go beyond generic advice by focusing on the specific concurrency conditions that trigger the vulnerability.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden
CVE-2024-8447: Deadlock
Description
A security issue was discovered in the LRA Coordinator component of Narayana. When Cancel is called in LRA, an execution time of approximately 2 seconds occurs. If Join is called with the same LRA ID within that timeframe, the application may crash or hang indefinitely, leading to a denial of service.
AI-Powered Analysis
Technical Analysis
CVE-2024-8447 is a vulnerability identified in the LRA Coordinator component of the Narayana transaction manager, which is widely used in Java enterprise environments to manage distributed transactions and Long Running Actions (LRAs). The flaw arises during the Cancel operation of an LRA, which takes roughly 2 seconds to complete. If, within this 2-second window, a Join operation is invoked using the same LRA ID, the system may enter a deadlock state causing the application to crash or hang indefinitely. This results in a denial of service (DoS) condition, as the affected application becomes unresponsive. The vulnerability does not affect confidentiality or integrity but impacts availability. The CVSS 3.1 score is 5.9 (medium severity), reflecting network attack vector, high attack complexity, no privileges required, no user interaction, unchanged scope, and impact limited to availability. No known exploits have been reported yet. The root cause is a race condition or synchronization issue in handling concurrent LRA lifecycle operations, which can be triggered remotely without authentication. This vulnerability is particularly relevant for systems relying on Narayana for transaction coordination in microservices or distributed architectures, where LRAs are common. The absence of patches or workarounds at the time of publication necessitates careful operational mitigation.
Potential Impact
For European organizations, the primary impact is denial of service on applications using Narayana's LRA Coordinator. This can disrupt business-critical distributed transactions, causing application downtime and degraded service availability. Industries relying on Java middleware for financial services, telecommunications, manufacturing, or public sector applications could experience operational interruptions. Although no data breach or integrity compromise is involved, service outages can lead to financial losses, reputational damage, and compliance risks under regulations like GDPR if service availability commitments are violated. The medium severity score reflects the limited scope to availability but the potential for significant disruption in environments with high transaction volumes or strict uptime requirements. Organizations with automated orchestration or microservices architectures that frequently invoke Cancel and Join operations concurrently are at higher risk. The lack of known exploits reduces immediate threat but does not eliminate risk, especially if attackers develop denial of service attacks targeting this vulnerability.
Mitigation Recommendations
To mitigate CVE-2024-8447, organizations should implement the following specific measures: 1) Audit and review application logic to prevent concurrent Cancel and Join calls on the same LRA ID within the 2-second execution window, possibly by introducing synchronization or queuing mechanisms at the application level. 2) Monitor application logs and performance metrics for signs of hangs or crashes related to LRA operations to detect exploitation attempts early. 3) Engage with Narayana or Red Hat support channels to obtain patches or updates addressing this issue as soon as they become available and prioritize their deployment in test and production environments. 4) If patching is delayed, consider isolating or limiting access to services that expose LRA Coordinator endpoints to reduce attack surface. 5) Implement rate limiting or throttling on LRA lifecycle API calls to prevent rapid repeated Cancel and Join invocations. 6) Conduct thorough testing of distributed transaction workflows to identify and remediate potential race conditions. These targeted mitigations go beyond generic advice by focusing on the specific concurrency conditions that trigger the vulnerability.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- redhat
- Date Reserved
- 2024-09-05T01:54:51.271Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682cd0fb1484d88663aec806
Added to database: 5/20/2025, 6:59:07 PM
Last enriched: 11/11/2025, 4:17:53 AM
Last updated: 12/3/2025, 1:07:43 AM
Views: 31
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