CVE-2026-43825— Apache OpenNLP :: Core :: ML :: LibSVM: Unsafe Java Deserialization in SvmDoccatModel
Quick assessment
Affected
Apache Software Foundation Apache OpenNLP :: Core :: ML :: LibSVM
Exploitation
High exploitation probability; assess promptly
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.
Apache Apache OpenNLP :: Core :: ML :: LibSVM是美国Apache基金会的一款机器学习库的核心模块。 Apache OpenNLP :: Core :: ML :: LibSVM 3.0.0-M4之前版本存在反序列化注入漏洞，该漏洞源于未安装ObjectInputFilter的java反序列化问题，可能导致攻击者通过特制的有效载荷在加载该模块的JVM中执行任意代码。
Possible ATT&CK Techniques 1 AI
T1190 · Exploit Public-Facing ApplicationAffected Version Matrix 1
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| Apache Software Foundation | Apache OpenNLP :: Core :: ML :: LibSVM | 3.0.0-M1< 3.0.0-M4 |
affected |
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I. Basic Information for CVE-2026-43825
Vulnerability Information
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Vulnerability Title
Apache OpenNLP :: Core :: ML :: LibSVM: Unsafe Java Deserialization in SvmDoccatModel
Source: CVE Program / CVE List V5
Vulnerability Description
Untrusted Java Deserialization in Apache OpenNLP SvmDoccatModel
Versions Affected:
before 3.0.0-M4 (libsvm document categorization module; introduced in
OPENNLP-1808 and only present on the 3.x line)
Description:
SvmDoccatModel.deserialize(InputStream) reads an attacker-controlled
stream with java.io.ObjectInputStream and calls readObject() without an
ObjectInputFilter installed. ObjectInputStream materialises every class
referenced in the stream before the resulting object is cast to
SvmDoccatModel, so the cast that follows readObject() executes only
after the foreign object graph has already been deserialised in full.
If a Java deserialization gadget chain is available on the consumer's
classpath, a crafted payload supplied to
deserialize() executes arbitrary code in the JVM that loads it. Apache
OpenNLP itself does not ship a known gadget chain, so the realistic
risk is to downstream applications that embed the libsvm module
alongside vulnerable transitive dependencies. The method is public and
static, so any caller can pass an untrusted stream to it directly.
The practical impact is remote code execution against processes that
load SvmDoccatModel instances from untrusted or semi-trusted origins.
Mitigation:
3.x users should upgrade to 3.0.0-M4.
Users who cannot upgrade immediately should treat all serialized
SvmDoccatModel streams as untrusted input unless their provenance is
verified, and should avoid invoking SvmDoccatModel.deserialize() on
streams supplied by end users or fetched from third-party sources
without integrity checks.
Source: CVE Program / CVE List V5
CVSS Information
N/A
Source: CVE Program / CVE List V5
Vulnerability Type
可信数据的反序列化
Source: CVE Program / CVE List V5
Vulnerability Title
Apache OpenNLP :: Core :: ML :: LibSVM 反序列化注入漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
Apache Apache OpenNLP :: Core :: ML :: LibSVM是美国Apache基金会的一款机器学习库的核心模块。 Apache OpenNLP :: Core :: ML :: LibSVM 3.0.0-M4之前版本存在反序列化注入漏洞，该漏洞源于未安装ObjectInputFilter的java反序列化问题，可能导致攻击者通过特制的有效载荷在加载该模块的JVM中执行任意代码。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)
Affected Products
| Vendor | Product | Affected Versions | CPE | Subscribe |
|---|---|---|---|---|
| Apache Software Foundation | Apache OpenNLP :: Core :: ML :: LibSVM | 3.0.0-M1 ~ 3.0.0-M4 | - |
|
II. Public POCs for CVE-2026-43825
| # | POC Description | Source Link | Shenlong Link |
|---|
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Mailing List Discussions for CVE-2026-43825 (1)
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