CVE-2025-15536: Heap-based Buffer Overflow in BYVoid OpenCC
CVE-2025-15536 is a heap-based buffer overflow vulnerability in BYVoid OpenCC versions up to 1. 1. 9, specifically in the opencc::MaxMatchSegmentation function. The flaw allows local attackers with limited privileges to cause memory corruption, potentially leading to application crashes or arbitrary code execution. Exploitation requires local access and no user interaction, but the attack complexity is low. Although no public exploits are known in the wild, proof-of-concept code has been published. The vulnerability has a medium severity rating with a CVSS score of 4. 8. European organizations using OpenCC for Chinese text conversion or processing should prioritize patching to prevent potential exploitation. The most affected countries are those with significant software development or localization activities involving Chinese language processing, such as Germany, France, and the UK.
AI Analysis
Technical Summary
CVE-2025-15536 is a heap-based buffer overflow vulnerability identified in the opencc::MaxMatchSegmentation function within the BYVoid OpenCC project, affecting all versions up to 1.1.9. OpenCC is an open-source library widely used for converting between Traditional and Simplified Chinese characters. The vulnerability arises from improper handling of memory buffers during the segmentation process, which can be manipulated by a local attacker to overflow the heap. This overflow could corrupt adjacent memory, potentially allowing an attacker to execute arbitrary code or cause a denial of service by crashing the application. The attack vector is local, requiring the attacker to have limited privileges on the system but no user interaction is needed. The vulnerability has a CVSS 4.8 (medium) score, reflecting the limited attack surface and requirement for local access. The vendor has released a patch identified by commit 345c9a50ab07018f1b4439776bad78a0d40778ec to address this issue. Although no known exploits are currently active in the wild, proof-of-concept exploit code is publicly available, increasing the risk of future exploitation. Organizations using OpenCC in their software stacks, especially those processing Chinese text, should apply the patch promptly to prevent exploitation.
Potential Impact
For European organizations, the impact of this vulnerability depends on the extent of OpenCC usage within their environments. OpenCC is commonly integrated into software dealing with Chinese language localization, text processing, or natural language processing applications. Exploitation could lead to local privilege escalation, arbitrary code execution, or denial of service, potentially disrupting critical business applications or services. While the attack requires local access, compromised internal systems could be leveraged as footholds for further lateral movement or data exfiltration. Industries such as software development, localization services, and multinational corporations with Chinese market operations are particularly at risk. The medium severity rating indicates moderate risk, but the availability of exploit code elevates the urgency for mitigation. Failure to patch could expose organizations to targeted attacks or insider threats exploiting this vulnerability.
Mitigation Recommendations
European organizations should immediately identify all instances of BYVoid OpenCC version 1.1.9 and earlier within their infrastructure, including embedded systems and third-party applications. Deploy the official patch referenced by commit 345c9a50ab07018f1b4439776bad78a0d40778ec without delay. If patching is not immediately feasible, consider restricting local access to systems running OpenCC to trusted users only and implement strict access controls and monitoring for suspicious activity. Employ application whitelisting and runtime protection mechanisms to detect and prevent exploitation attempts. Conduct thorough code audits and penetration testing on applications integrating OpenCC to identify any additional vulnerabilities. Maintain up-to-date backups and incident response plans to quickly recover from potential exploitation. Finally, educate internal teams about the risks associated with local privilege vulnerabilities and the importance of applying security updates promptly.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden
CVE-2025-15536: Heap-based Buffer Overflow in BYVoid OpenCC
Description
CVE-2025-15536 is a heap-based buffer overflow vulnerability in BYVoid OpenCC versions up to 1. 1. 9, specifically in the opencc::MaxMatchSegmentation function. The flaw allows local attackers with limited privileges to cause memory corruption, potentially leading to application crashes or arbitrary code execution. Exploitation requires local access and no user interaction, but the attack complexity is low. Although no public exploits are known in the wild, proof-of-concept code has been published. The vulnerability has a medium severity rating with a CVSS score of 4. 8. European organizations using OpenCC for Chinese text conversion or processing should prioritize patching to prevent potential exploitation. The most affected countries are those with significant software development or localization activities involving Chinese language processing, such as Germany, France, and the UK.
AI-Powered Analysis
Technical Analysis
CVE-2025-15536 is a heap-based buffer overflow vulnerability identified in the opencc::MaxMatchSegmentation function within the BYVoid OpenCC project, affecting all versions up to 1.1.9. OpenCC is an open-source library widely used for converting between Traditional and Simplified Chinese characters. The vulnerability arises from improper handling of memory buffers during the segmentation process, which can be manipulated by a local attacker to overflow the heap. This overflow could corrupt adjacent memory, potentially allowing an attacker to execute arbitrary code or cause a denial of service by crashing the application. The attack vector is local, requiring the attacker to have limited privileges on the system but no user interaction is needed. The vulnerability has a CVSS 4.8 (medium) score, reflecting the limited attack surface and requirement for local access. The vendor has released a patch identified by commit 345c9a50ab07018f1b4439776bad78a0d40778ec to address this issue. Although no known exploits are currently active in the wild, proof-of-concept exploit code is publicly available, increasing the risk of future exploitation. Organizations using OpenCC in their software stacks, especially those processing Chinese text, should apply the patch promptly to prevent exploitation.
Potential Impact
For European organizations, the impact of this vulnerability depends on the extent of OpenCC usage within their environments. OpenCC is commonly integrated into software dealing with Chinese language localization, text processing, or natural language processing applications. Exploitation could lead to local privilege escalation, arbitrary code execution, or denial of service, potentially disrupting critical business applications or services. While the attack requires local access, compromised internal systems could be leveraged as footholds for further lateral movement or data exfiltration. Industries such as software development, localization services, and multinational corporations with Chinese market operations are particularly at risk. The medium severity rating indicates moderate risk, but the availability of exploit code elevates the urgency for mitigation. Failure to patch could expose organizations to targeted attacks or insider threats exploiting this vulnerability.
Mitigation Recommendations
European organizations should immediately identify all instances of BYVoid OpenCC version 1.1.9 and earlier within their infrastructure, including embedded systems and third-party applications. Deploy the official patch referenced by commit 345c9a50ab07018f1b4439776bad78a0d40778ec without delay. If patching is not immediately feasible, consider restricting local access to systems running OpenCC to trusted users only and implement strict access controls and monitoring for suspicious activity. Employ application whitelisting and runtime protection mechanisms to detect and prevent exploitation attempts. Conduct thorough code audits and penetration testing on applications integrating OpenCC to identify any additional vulnerabilities. Maintain up-to-date backups and incident response plans to quickly recover from potential exploitation. Finally, educate internal teams about the risks associated with local privilege vulnerabilities and the importance of applying security updates promptly.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-01-17T16:27:11.665Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 696ca3d1d302b072d9b4cb87
Added to database: 1/18/2026, 9:11:45 AM
Last enriched: 1/18/2026, 9:26:03 AM
Last updated: 1/18/2026, 10:17:45 AM
Views: 3
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