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 identifies a vulnerability in Red Hat OpenShift Serverless stemming from a flaw in the Undertow servlet container. The issue arises when servlets use the method HttpServletRequestImpl.getParameterNames(), which enumerates HTTP request parameter names. If a client sends a request containing parameter names of unusually large size, the server attempts to process these without adequate input validation or size checks, leading to excessive memory allocation. This can cause an OutOfMemoryError, crashing or severely degrading the availability of the affected service. The vulnerability can be exploited remotely by an unauthenticated attacker simply by sending crafted HTTP requests with large parameter names, making it a remote denial-of-service vector. The CVSS 3.1 base score is 7.5, reflecting high severity due to the network attack vector, low attack complexity, no privileges or user interaction required, and a high impact on availability. While no known exploits are currently reported in the wild, the nature of the flaw and the widespread use of OpenShift Serverless in cloud-native environments make it a critical concern. The vulnerability does not affect confidentiality or integrity, focusing solely on availability disruption. No specific affected versions are listed, but users of Red Hat OpenShift Serverless should assume all versions using the vulnerable Undertow servlet are impacted until patched. The flaw highlights the importance of robust input validation and resource management in web server components.
Potential Impact
For European organizations, the primary impact is the potential for remote denial-of-service attacks against OpenShift Serverless deployments. This can lead to service outages, disruption of business-critical cloud-native applications, and potential cascading effects on dependent services. Organizations relying on OpenShift Serverless for container orchestration and serverless workloads may experience degraded availability, impacting operational continuity and customer-facing services. Given the unauthenticated nature of the exploit, attackers can launch DoS attacks without insider access, increasing the threat surface. The absence of confidentiality or integrity impact limits data breach risks, but availability loss can still cause significant financial and reputational damage. Critical sectors such as finance, telecommunications, and government services in Europe that utilize OpenShift Serverless for scalable cloud infrastructure are particularly vulnerable. Additionally, the attack could be leveraged as a distraction or part of multi-stage attacks targeting European cloud environments.
Mitigation Recommendations
European organizations should immediately assess their OpenShift Serverless environments for exposure to this vulnerability. Specific mitigation steps include: 1) Applying official patches or updates from Red Hat as soon as they become available. 2) Implementing strict input validation and size limits on HTTP request parameters at the ingress or API gateway level to prevent excessively large parameter names from reaching the servlet layer. 3) Configuring resource quotas and memory limits for pods running OpenShift Serverless workloads to contain potential memory exhaustion. 4) Employing Web Application Firewalls (WAFs) with custom rules to detect and block suspicious requests with abnormally large parameter names. 5) Monitoring logs and metrics for unusual spikes in memory usage or request patterns indicative of exploitation attempts. 6) Conducting regular security assessments and penetration tests focused on input validation weaknesses in web components. 7) Educating development teams on secure coding practices to avoid similar flaws in custom servlets. These targeted measures go beyond generic advice by focusing on controlling input size, resource management, and proactive detection tailored to the vulnerability's characteristics.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden, Belgium
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
Technical Analysis
CVE-2024-4027 identifies a vulnerability in Red Hat OpenShift Serverless stemming from a flaw in the Undertow servlet container. The issue arises when servlets use the method HttpServletRequestImpl.getParameterNames(), which enumerates HTTP request parameter names. If a client sends a request containing parameter names of unusually large size, the server attempts to process these without adequate input validation or size checks, leading to excessive memory allocation. This can cause an OutOfMemoryError, crashing or severely degrading the availability of the affected service. The vulnerability can be exploited remotely by an unauthenticated attacker simply by sending crafted HTTP requests with large parameter names, making it a remote denial-of-service vector. The CVSS 3.1 base score is 7.5, reflecting high severity due to the network attack vector, low attack complexity, no privileges or user interaction required, and a high impact on availability. While no known exploits are currently reported in the wild, the nature of the flaw and the widespread use of OpenShift Serverless in cloud-native environments make it a critical concern. The vulnerability does not affect confidentiality or integrity, focusing solely on availability disruption. No specific affected versions are listed, but users of Red Hat OpenShift Serverless should assume all versions using the vulnerable Undertow servlet are impacted until patched. The flaw highlights the importance of robust input validation and resource management in web server components.
Potential Impact
For European organizations, the primary impact is the potential for remote denial-of-service attacks against OpenShift Serverless deployments. This can lead to service outages, disruption of business-critical cloud-native applications, and potential cascading effects on dependent services. Organizations relying on OpenShift Serverless for container orchestration and serverless workloads may experience degraded availability, impacting operational continuity and customer-facing services. Given the unauthenticated nature of the exploit, attackers can launch DoS attacks without insider access, increasing the threat surface. The absence of confidentiality or integrity impact limits data breach risks, but availability loss can still cause significant financial and reputational damage. Critical sectors such as finance, telecommunications, and government services in Europe that utilize OpenShift Serverless for scalable cloud infrastructure are particularly vulnerable. Additionally, the attack could be leveraged as a distraction or part of multi-stage attacks targeting European cloud environments.
Mitigation Recommendations
European organizations should immediately assess their OpenShift Serverless environments for exposure to this vulnerability. Specific mitigation steps include: 1) Applying official patches or updates from Red Hat as soon as they become available. 2) Implementing strict input validation and size limits on HTTP request parameters at the ingress or API gateway level to prevent excessively large parameter names from reaching the servlet layer. 3) Configuring resource quotas and memory limits for pods running OpenShift Serverless workloads to contain potential memory exhaustion. 4) Employing Web Application Firewalls (WAFs) with custom rules to detect and block suspicious requests with abnormally large parameter names. 5) Monitoring logs and metrics for unusual spikes in memory usage or request patterns indicative of exploitation attempts. 6) Conducting regular security assessments and penetration tests focused on input validation weaknesses in web components. 7) Educating development teams on secure coding practices to avoid similar flaws in custom servlets. These targeted measures go beyond generic advice by focusing on controlling input size, resource management, and proactive detection tailored to the vulnerability's characteristics.
Affected Countries
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: 1/30/2026, 2:42:10 PM
Last updated: 1/30/2026, 4:45:56 PM
Views: 8
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