CVE-2026-118271 in a2ui
Summary
by MITRE • 10/28/2026
A security vulnerability has been detected in a2ui-project a2ui up to 0.10.6. This impacts an unknown function of the file renderers/web_core/src/v0_9/rendering/data-context.ts of the component data-context Resolver. Such manipulation leads to resource consumption. The attack may be performed from remote. The exploit has been disclosed publicly and may be used. The name of the patch is eb314e14fabd29cfb4a74e1202afc4fe2081efa2. Applying a patch is advised to resolve this issue.
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Analysis
by VulDB Data Team • 10/28/2026
The vulnerability identified in the a2ui project, specifically affecting versions up through 0.10.6, represents a significant risk related to resource consumption within the web rendering subsystem. The flaw resides within the data-context Resolver component, located in the source file renderers/web_core/src/v0_9/rendering/data-context.ts. This module is responsible for managing and resolving data contexts during the rendering process of user interfaces built with the framework. When an attacker interacts with this specific function through a remote vector, they can trigger excessive resource utilization on the target system. The nature of this vulnerability suggests that improper handling or lack of sufficient validation in the data-context resolution logic allows malicious inputs to cause the application to enter inefficient loops or allocate disproportionate amounts of memory and processing power. This type of flaw is characteristic of issues where input sanitization or rate limiting mechanisms are absent, allowing a single request or a series of requests from an external source to degrade system performance significantly.
From a technical perspective, this vulnerability aligns with the Common Weakness Enumeration category CWE-400, which describes Uncontrolled Resource Consumption. This weakness occurs when a software application does not properly control the allocation and maintenance of limited resources, leading to conditions such as denial-of-service attacks where legitimate users are unable to access services due to resource exhaustion. In the context of web applications like those built with a2ui, an attacker can exploit this by sending crafted requests that force the data-context Resolver into states requiring excessive computational effort or memory allocation. The remote nature of the attack means that no authentication is necessarily required for exploitation, increasing the severity and ease of use for potential adversaries who have discovered public exploits for this flaw.
The operational impact of this vulnerability extends beyond simple performance degradation. By consuming server resources such as CPU cycles and memory bandwidth, an attacker can effectively render the application unresponsive to legitimate traffic. This constitutes a denial-of-service condition that disrupts business continuity and user experience. Since the exploit has been disclosed publicly, automated scanning tools and malicious actors are likely already attempting to target systems running vulnerable versions of a2ui. The presence of public exploits significantly lowers the barrier for entry, meaning that even attackers with limited technical expertise can leverage existing code snippets or scripts to launch attacks against unpatched infrastructure. This increases the urgency for remediation as the window of exposure is actively being exploited in the wild.
To mitigate this risk, immediate action must be taken by system administrators and development teams responsible for maintaining a2ui-based applications. The primary recommendation is to apply the patch identified by commit hash eb314e14fabd29cfb4a74e1202afc4fe2081efa2 as soon as possible. This update addresses the underlying logic flaw in the data-context Resolver that allows for uncontrolled resource consumption. In addition to applying the patch, organizations should implement network-level controls such as rate limiting and request throttling on web servers hosting a2ui applications. These measures can help mitigate the impact of any remaining or future vulnerabilities by preventing individual clients from monopolizing server resources. Furthermore, continuous monitoring of system metrics for unusual spikes in CPU or memory usage associated with rendering processes can aid in early detection of exploitation attempts while patching efforts are underway.