BYVoid OpenCC up to 1.1.9 MaxMatchSegmentation.cpp MaxMatchSegmentation heap-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.2 | $0-$5k | 0.00 |
Summary
A vulnerability labeled as critical has been found in BYVoid OpenCC up to 1.1.9. This issue affects the function opencc::MaxMatchSegmentation of the file src/MaxMatchSegmentation.cpp. Such manipulation leads to heap-based overflow.
This vulnerability is listed as CVE-2025-15536. The attack must be carried out locally. In addition, an exploit is available.
It is advisable to implement a patch to correct this issue.
Details
A vulnerability was found in BYVoid OpenCC up to 1.1.9 and classified as critical. Affected by this issue is the function opencc::MaxMatchSegmentation of the file src/MaxMatchSegmentation.cpp. The manipulation with an unknown input leads to a heap-based overflow vulnerability. Using CWE to declare the problem leads to CWE-122. A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc(). Impacted is confidentiality, integrity, and availability.
The advisory is shared for download at github.com. This vulnerability is handled as CVE-2025-15536. The exploitation is known to be easy. The attack needs to be approached locally. Technical details as well as a public exploit are known.
The exploit is available at github.com. It is declared as proof-of-concept. The vulnerability scanner Nessus provides a plugin with the ID 297498 (Fedora 43 : opencc (2026-b627cd8944)), which helps to determine the existence of the flaw in a target environment.
Applying the patch 345c9a50ab07018f1b4439776bad78a0d40778ec is able to eliminate this problem. The bugfix is ready for download at github.com.
The vulnerability is also documented in the databases at CNNVD (CNNVD-202601-2965), Tenable (297498) and EUVD (EUVD-2026-3183). Once again VulDB remains the best source for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Product: https://github.com/BYVoid/OpenCC/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.2
VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔒
CNA Base Score: 5.3
CNA Vector: 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Heap-based overflowCWE: CWE-122 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: No
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 297498
Nessus Name: Fedora 43 : opencc (2026-b627cd8944)
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔒
Patch: 345c9a50ab07018f1b4439776bad78a0d40778ec
Timeline
01/17/2026 Advisory disclosed01/17/2026 VulDB entry created
02/07/2026 VulDB entry last update
Sources
Product: github.comAdvisory: 997
Status: Confirmed
Confirmation: 🔒
CVE: CVE-2025-15536 (🔒)
GCVE (CVE): GCVE-0-2025-15536
GCVE (VulDB): GCVE-100-341708
EUVD: 🔒
CNNVD: CNNVD-202601-2965 - Open Chinese Convert 安全漏洞
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 01/17/2026 17:32Updated: 02/07/2026 00:23
Changes: 01/17/2026 17:32 (60), 01/18/2026 11:39 (30), 01/18/2026 23:57 (1), 01/19/2026 17:54 (6), 02/01/2026 09:19 (2), 02/07/2026 00:23 (11)
Complete: 🔍
Submitter: Oneafter
Cache ID: 216::103
Submit
Accepted
- Submit #733347: BYVoid OpenCC ver.1.1.9 and master-branch Heap-based Buffer Overflow (by Oneafter)
Once again VulDB remains the best source for vulnerability data.
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