CVE-2024-4027: Improper Input Validation in Red Hat OpenShift Serverless
A flaw was found in Undertow. Servlets using a method that calls HttpServletRequestImpl.getParameterNames() can cause an OutOfMemoryError when the client sends a request with large parameter names. This issue can be exploited by an unauthorized user to cause a remote denial-of-service (DoS) attack.
AI Analysis
Technical Summary
CVE-2024-4027 is a vulnerability identified in the Undertow servlet container component used within Red Hat OpenShift Serverless environments. The root cause lies in improper input validation when servlets call the method HttpServletRequestImpl.getParameterNames(). If a client sends HTTP requests containing parameter names of excessively large size, the server attempts to process these without adequate size checks, leading to an OutOfMemoryError. This error results from the server exhausting its available heap memory, causing the servlet container or the entire OpenShift Serverless instance to crash or become unresponsive. The vulnerability can be exploited remotely by an unauthenticated attacker simply by crafting and sending malicious HTTP requests with large parameter names, making it a remote denial-of-service (DoS) vector. The flaw affects availability but does not compromise confidentiality or integrity of data. No user interaction is required, and the attack surface is broad due to network accessibility. Although no public exploits have been reported yet, the vulnerability's characteristics make it a significant risk for service disruption in cloud-native environments relying on OpenShift Serverless. The CVSS v3.1 base score is 7.5, reflecting high severity with network attack vector, low attack complexity, no privileges required, and no user interaction needed.
Potential Impact
The primary impact of CVE-2024-4027 is a remote denial-of-service condition that can disrupt availability of OpenShift Serverless deployments. Organizations relying on OpenShift Serverless for critical cloud-native applications may experience service outages or degraded performance due to server crashes or resource exhaustion. This can affect business continuity, customer experience, and operational efficiency. Since the vulnerability does not affect confidentiality or integrity, data breaches are not a direct concern. However, the disruption of services can indirectly impact trust and compliance, especially in regulated industries. The ease of exploitation with no authentication required increases the risk of automated attacks or widespread scanning by threat actors. Enterprises with large-scale or multi-tenant OpenShift Serverless environments are particularly vulnerable to cascading failures or denial of service. Additionally, the lack of known exploits in the wild suggests a window of opportunity to remediate before active exploitation occurs.
Mitigation Recommendations
To mitigate CVE-2024-4027, organizations should prioritize applying vendor patches or updates from Red Hat as they become available. In the absence of immediate patches, administrators can implement request filtering or rate limiting at the ingress or API gateway level to restrict the size and number of HTTP request parameters accepted. Configuring web application firewalls (WAFs) to detect and block requests with unusually large parameter names can reduce exposure. Monitoring server logs and metrics for spikes in memory usage or abnormal request patterns can provide early detection of exploitation attempts. Additionally, isolating critical workloads and employing resource quotas or limits within OpenShift can prevent a single compromised service from impacting the entire cluster. Regularly updating and hardening the underlying servlet container and OpenShift components is essential. Finally, educating development teams about secure coding practices to avoid reliance on vulnerable methods can reduce future risks.
Affected Countries
United States, Germany, Japan, India, United Kingdom, Canada, Australia, France, Netherlands, South Korea
CVE-2024-4027: Improper Input Validation in Red Hat OpenShift Serverless
Description
A flaw was found in Undertow. Servlets using a method that calls HttpServletRequestImpl.getParameterNames() can cause an OutOfMemoryError when the client sends a request with large parameter names. This issue can be exploited by an unauthorized user to cause a remote denial-of-service (DoS) attack.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-4027 is a vulnerability identified in the Undertow servlet container component used within Red Hat OpenShift Serverless environments. The root cause lies in improper input validation when servlets call the method HttpServletRequestImpl.getParameterNames(). If a client sends HTTP requests containing parameter names of excessively large size, the server attempts to process these without adequate size checks, leading to an OutOfMemoryError. This error results from the server exhausting its available heap memory, causing the servlet container or the entire OpenShift Serverless instance to crash or become unresponsive. The vulnerability can be exploited remotely by an unauthenticated attacker simply by crafting and sending malicious HTTP requests with large parameter names, making it a remote denial-of-service (DoS) vector. The flaw affects availability but does not compromise confidentiality or integrity of data. No user interaction is required, and the attack surface is broad due to network accessibility. Although no public exploits have been reported yet, the vulnerability's characteristics make it a significant risk for service disruption in cloud-native environments relying on OpenShift Serverless. The CVSS v3.1 base score is 7.5, reflecting high severity with network attack vector, low attack complexity, no privileges required, and no user interaction needed.
Potential Impact
The primary impact of CVE-2024-4027 is a remote denial-of-service condition that can disrupt availability of OpenShift Serverless deployments. Organizations relying on OpenShift Serverless for critical cloud-native applications may experience service outages or degraded performance due to server crashes or resource exhaustion. This can affect business continuity, customer experience, and operational efficiency. Since the vulnerability does not affect confidentiality or integrity, data breaches are not a direct concern. However, the disruption of services can indirectly impact trust and compliance, especially in regulated industries. The ease of exploitation with no authentication required increases the risk of automated attacks or widespread scanning by threat actors. Enterprises with large-scale or multi-tenant OpenShift Serverless environments are particularly vulnerable to cascading failures or denial of service. Additionally, the lack of known exploits in the wild suggests a window of opportunity to remediate before active exploitation occurs.
Mitigation Recommendations
To mitigate CVE-2024-4027, organizations should prioritize applying vendor patches or updates from Red Hat as they become available. In the absence of immediate patches, administrators can implement request filtering or rate limiting at the ingress or API gateway level to restrict the size and number of HTTP request parameters accepted. Configuring web application firewalls (WAFs) to detect and block requests with unusually large parameter names can reduce exposure. Monitoring server logs and metrics for spikes in memory usage or abnormal request patterns can provide early detection of exploitation attempts. Additionally, isolating critical workloads and employing resource quotas or limits within OpenShift can prevent a single compromised service from impacting the entire cluster. Regularly updating and hardening the underlying servlet container and OpenShift components is essential. Finally, educating development teams about secure coding practices to avoid reliance on vulnerable methods can reduce future risks.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- redhat
- Date Reserved
- 2024-04-22T13:10:21.747Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 697cbfe4ac063202225ceb2e
Added to database: 1/30/2026, 2:27:48 PM
Last enriched: 2/27/2026, 9:54:25 PM
Last updated: 3/25/2026, 2:20:25 AM
Views: 92
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