CVE-2024-1023: Missing Release of Memory after Effective Lifetime
A vulnerability in the Eclipse Vert.x toolkit results in a memory leak due to using Netty FastThreadLocal data structures. Specifically, when the Vert.x HTTP client establishes connections to different hosts, triggering the memory leak. The leak can be accelerated with intimate runtime knowledge, allowing an attacker to exploit this vulnerability. For instance, a server accepting arbitrary internet addresses could serve as an attack vector by connecting to these addresses, thereby accelerating the memory leak.
AI Analysis
Technical Summary
CVE-2024-1023 identifies a memory leak vulnerability in the Eclipse Vert.x toolkit, specifically related to the use of Netty FastThreadLocal data structures within the Vert.x HTTP client. The flaw manifests when the client establishes connections to multiple different hosts, causing memory allocated for thread-local storage not to be released after its effective lifetime. This leads to a gradual accumulation of unreleased memory, which can degrade system performance and eventually cause out-of-memory conditions. An attacker with some level of privilege (PR:L) but no user interaction needed (UI:N) can accelerate the leak by exploiting knowledge of the runtime environment, for example, by causing the server to connect to arbitrary internet addresses repeatedly. This vulnerability affects Vert.x versions 4.4.5, 4.4.6, 4.5.0, and 4.5.1. The CVSS 3.1 base score is 6.5 (medium), reflecting a network attack vector with low complexity and no impact on confidentiality or integrity but high impact on availability. No public exploits are currently known, but the vulnerability poses a risk of denial-of-service through resource exhaustion. The issue is particularly relevant for servers that accept arbitrary host connections or proxy requests, as they can be manipulated to accelerate memory consumption. The root cause lies in the improper lifecycle management of FastThreadLocal variables in Netty, a widely used asynchronous event-driven network application framework underlying Vert.x.
Potential Impact
The primary impact of CVE-2024-1023 is on system availability due to memory exhaustion caused by the leak. Organizations running affected Vert.x versions in production environments, especially those handling numerous outbound HTTP connections to diverse hosts, may experience degraded performance, increased latency, or crashes from out-of-memory errors. This can lead to denial-of-service conditions affecting critical applications and services. Since confidentiality and integrity are not impacted, the threat is limited to availability disruption. However, availability issues can cascade, affecting dependent services and causing operational downtime. Attackers with low privileges can exploit this vulnerability remotely without user interaction, increasing the risk in exposed environments. Systems acting as proxies, API gateways, or microservices platforms using Vert.x HTTP client are particularly vulnerable. The absence of known exploits reduces immediate risk but does not eliminate the potential for future attacks. Organizations with high transaction volumes or dynamic host connections are at elevated risk of impact.
Mitigation Recommendations
To mitigate CVE-2024-1023, organizations should upgrade to Vert.x versions that have addressed this memory leak once patches are released. Until patches are available, consider the following specific mitigations: 1) Limit the number of distinct hosts the Vert.x HTTP client connects to, reducing the opportunity for memory accumulation. 2) Implement connection pooling or reuse strategies to minimize new connections to different hosts. 3) Monitor memory usage closely on Vert.x-based services, setting alerts for abnormal increases indicative of leaks. 4) Restrict or validate input that controls outbound connection targets to prevent attackers from forcing connections to arbitrary hosts. 5) Employ container or process-level memory limits and automatic restarts to contain impact. 6) Review and optimize thread-local usage patterns in custom Vert.x code to avoid exacerbating leaks. 7) Use runtime diagnostic tools to identify and analyze FastThreadLocal memory usage. These targeted actions go beyond generic advice by focusing on connection management and runtime monitoring specific to this vulnerability's mechanism.
Affected Countries
United States, Germany, United Kingdom, France, India, China, Japan, South Korea, Brazil, Canada, Australia, Netherlands
CVE-2024-1023: Missing Release of Memory after Effective Lifetime
Description
A vulnerability in the Eclipse Vert.x toolkit results in a memory leak due to using Netty FastThreadLocal data structures. Specifically, when the Vert.x HTTP client establishes connections to different hosts, triggering the memory leak. The leak can be accelerated with intimate runtime knowledge, allowing an attacker to exploit this vulnerability. For instance, a server accepting arbitrary internet addresses could serve as an attack vector by connecting to these addresses, thereby accelerating the memory leak.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-1023 identifies a memory leak vulnerability in the Eclipse Vert.x toolkit, specifically related to the use of Netty FastThreadLocal data structures within the Vert.x HTTP client. The flaw manifests when the client establishes connections to multiple different hosts, causing memory allocated for thread-local storage not to be released after its effective lifetime. This leads to a gradual accumulation of unreleased memory, which can degrade system performance and eventually cause out-of-memory conditions. An attacker with some level of privilege (PR:L) but no user interaction needed (UI:N) can accelerate the leak by exploiting knowledge of the runtime environment, for example, by causing the server to connect to arbitrary internet addresses repeatedly. This vulnerability affects Vert.x versions 4.4.5, 4.4.6, 4.5.0, and 4.5.1. The CVSS 3.1 base score is 6.5 (medium), reflecting a network attack vector with low complexity and no impact on confidentiality or integrity but high impact on availability. No public exploits are currently known, but the vulnerability poses a risk of denial-of-service through resource exhaustion. The issue is particularly relevant for servers that accept arbitrary host connections or proxy requests, as they can be manipulated to accelerate memory consumption. The root cause lies in the improper lifecycle management of FastThreadLocal variables in Netty, a widely used asynchronous event-driven network application framework underlying Vert.x.
Potential Impact
The primary impact of CVE-2024-1023 is on system availability due to memory exhaustion caused by the leak. Organizations running affected Vert.x versions in production environments, especially those handling numerous outbound HTTP connections to diverse hosts, may experience degraded performance, increased latency, or crashes from out-of-memory errors. This can lead to denial-of-service conditions affecting critical applications and services. Since confidentiality and integrity are not impacted, the threat is limited to availability disruption. However, availability issues can cascade, affecting dependent services and causing operational downtime. Attackers with low privileges can exploit this vulnerability remotely without user interaction, increasing the risk in exposed environments. Systems acting as proxies, API gateways, or microservices platforms using Vert.x HTTP client are particularly vulnerable. The absence of known exploits reduces immediate risk but does not eliminate the potential for future attacks. Organizations with high transaction volumes or dynamic host connections are at elevated risk of impact.
Mitigation Recommendations
To mitigate CVE-2024-1023, organizations should upgrade to Vert.x versions that have addressed this memory leak once patches are released. Until patches are available, consider the following specific mitigations: 1) Limit the number of distinct hosts the Vert.x HTTP client connects to, reducing the opportunity for memory accumulation. 2) Implement connection pooling or reuse strategies to minimize new connections to different hosts. 3) Monitor memory usage closely on Vert.x-based services, setting alerts for abnormal increases indicative of leaks. 4) Restrict or validate input that controls outbound connection targets to prevent attackers from forcing connections to arbitrary hosts. 5) Employ container or process-level memory limits and automatic restarts to contain impact. 6) Review and optimize thread-local usage patterns in custom Vert.x code to avoid exacerbating leaks. 7) Use runtime diagnostic tools to identify and analyze FastThreadLocal memory usage. These targeted actions go beyond generic advice by focusing on connection management and runtime monitoring specific to this vulnerability's mechanism.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- redhat
- Date Reserved
- 2024-01-29T10:54:44.360Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 690dcfa5c2e5047ad7418654
Added to database: 11/7/2025, 10:53:25 AM
Last enriched: 2/28/2026, 8:01:31 AM
Last updated: 3/25/2026, 12:09:11 AM
Views: 101
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