CVE-2026-24819: CWE-1325 Improperly Controlled Sequential Memory Allocation in foxinmy weixin4j
Improperly Controlled Sequential Memory Allocation vulnerability in foxinmy weixin4j (weixin4j-base/src/main/java/com/foxinmy/weixin4j/util modules). This vulnerability is associated with program files CharArrayBuffer.Java, ClassUtil.Java. This issue affects weixin4j.
AI Analysis
Technical Summary
CVE-2026-24819 identifies a vulnerability classified under CWE-1325 (Improperly Controlled Sequential Memory Allocation) in the foxinmy weixin4j Java library, specifically within the weixin4j-base module's utility classes CharArrayBuffer.java and ClassUtil.java. The vulnerability arises from the library's failure to properly control or limit sequential memory allocations, potentially allowing an attacker to trigger excessive memory consumption. This can lead to resource exhaustion and partial denial of service (DoS) conditions in applications relying on the library. The vulnerability is remotely exploitable without authentication or user interaction, as indicated by the CVSS vector (AV:N/AC:L/AT:P/PR:N/UI:N). The attack complexity is low, but the attacker must be able to induce the vulnerable code path to allocate memory sequentially. The impact primarily affects availability (V:D) with some reduction in confidentiality (R:A) due to possible side effects. No patches or known exploits are currently available, and the vulnerability was published on January 27, 2026. The foxinmy weixin4j library is commonly used for integrating Weixin (WeChat) APIs in Java applications, which are prevalent in various enterprise and consumer software ecosystems.
Potential Impact
For European organizations, the primary impact of CVE-2026-24819 is the potential for service disruption due to memory exhaustion in applications using the vulnerable weixin4j library. This can affect availability of critical services, especially those integrating WeChat functionalities such as messaging, payments, or social media features. Enterprises relying on these integrations for customer engagement or internal communications may experience degraded performance or outages. While the vulnerability does not directly compromise data confidentiality or integrity, availability issues can lead to operational downtime and reputational damage. The lack of known exploits reduces immediate risk, but the ease of exploitation and medium severity score necessitate proactive mitigation. Organizations in sectors with high WeChat integration, including finance, retail, and software development, are particularly at risk. Additionally, cloud-hosted applications or microservices using weixin4j could propagate the impact across distributed systems.
Mitigation Recommendations
1. Monitor official foxinmy repositories and security advisories for patches addressing CVE-2026-24819 and apply updates promptly once available. 2. Implement runtime memory usage monitoring and alerting to detect unusual allocation patterns indicative of exploitation attempts. 3. Apply application-level limits on memory allocation sizes and request rates to prevent resource exhaustion. 4. Conduct code reviews and static analysis on custom integrations using weixin4j to identify and remediate unsafe memory allocation patterns. 5. Employ container or JVM-level resource constraints (e.g., heap size limits) to contain the impact of excessive memory usage. 6. Use Web Application Firewalls (WAFs) or API gateways to throttle or block suspicious traffic patterns targeting Weixin API endpoints. 7. Educate development teams on secure coding practices related to memory management and third-party library usage. 8. Consider alternative libraries or custom implementations if patches are delayed or unavailable.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden
CVE-2026-24819: CWE-1325 Improperly Controlled Sequential Memory Allocation in foxinmy weixin4j
Description
Improperly Controlled Sequential Memory Allocation vulnerability in foxinmy weixin4j (weixin4j-base/src/main/java/com/foxinmy/weixin4j/util modules). This vulnerability is associated with program files CharArrayBuffer.Java, ClassUtil.Java. This issue affects weixin4j.
AI-Powered Analysis
Technical Analysis
CVE-2026-24819 identifies a vulnerability classified under CWE-1325 (Improperly Controlled Sequential Memory Allocation) in the foxinmy weixin4j Java library, specifically within the weixin4j-base module's utility classes CharArrayBuffer.java and ClassUtil.java. The vulnerability arises from the library's failure to properly control or limit sequential memory allocations, potentially allowing an attacker to trigger excessive memory consumption. This can lead to resource exhaustion and partial denial of service (DoS) conditions in applications relying on the library. The vulnerability is remotely exploitable without authentication or user interaction, as indicated by the CVSS vector (AV:N/AC:L/AT:P/PR:N/UI:N). The attack complexity is low, but the attacker must be able to induce the vulnerable code path to allocate memory sequentially. The impact primarily affects availability (V:D) with some reduction in confidentiality (R:A) due to possible side effects. No patches or known exploits are currently available, and the vulnerability was published on January 27, 2026. The foxinmy weixin4j library is commonly used for integrating Weixin (WeChat) APIs in Java applications, which are prevalent in various enterprise and consumer software ecosystems.
Potential Impact
For European organizations, the primary impact of CVE-2026-24819 is the potential for service disruption due to memory exhaustion in applications using the vulnerable weixin4j library. This can affect availability of critical services, especially those integrating WeChat functionalities such as messaging, payments, or social media features. Enterprises relying on these integrations for customer engagement or internal communications may experience degraded performance or outages. While the vulnerability does not directly compromise data confidentiality or integrity, availability issues can lead to operational downtime and reputational damage. The lack of known exploits reduces immediate risk, but the ease of exploitation and medium severity score necessitate proactive mitigation. Organizations in sectors with high WeChat integration, including finance, retail, and software development, are particularly at risk. Additionally, cloud-hosted applications or microservices using weixin4j could propagate the impact across distributed systems.
Mitigation Recommendations
1. Monitor official foxinmy repositories and security advisories for patches addressing CVE-2026-24819 and apply updates promptly once available. 2. Implement runtime memory usage monitoring and alerting to detect unusual allocation patterns indicative of exploitation attempts. 3. Apply application-level limits on memory allocation sizes and request rates to prevent resource exhaustion. 4. Conduct code reviews and static analysis on custom integrations using weixin4j to identify and remediate unsafe memory allocation patterns. 5. Employ container or JVM-level resource constraints (e.g., heap size limits) to contain the impact of excessive memory usage. 6. Use Web Application Firewalls (WAFs) or API gateways to throttle or block suspicious traffic patterns targeting Weixin API endpoints. 7. Educate development teams on secure coding practices related to memory management and third-party library usage. 8. Consider alternative libraries or custom implementations if patches are delayed or unavailable.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GovTech CSG
- Date Reserved
- 2026-01-27T08:48:56.893Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69787ff64623b1157c11b8e2
Added to database: 1/27/2026, 9:05:58 AM
Last enriched: 1/27/2026, 9:22:13 AM
Last updated: 2/5/2026, 1:42:14 PM
Views: 27
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