AUGUST 25, 2026
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Case File

CVE-2026-43825

HIGH · CVSS 7.3 EPSS 8.80% Public Exploit

Source: NVD + CISA KEV + EPSS · Published 2026-07-06 · Last synced 2026-08-05

CyberRota Analysis

AI-Generated

Apache OpenNLP's SvmDoccatModel is vulnerable to untrusted Java deserialization, allowing attackers to execute arbitrary code in the JVM if they can supply a crafted input stream. This poses a significant risk of remote code execution for applications that utilize the libsvm module, particularly those with vulnerable transitive dependencies. Organizations using affected versions should prioritize upgrading to version 3.0.0-M4 and implement strict input validation for serialized streams to mitigate potential exploitation.

Public Exploit Signal

A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.

Detected Signals
remote code execution code execution

Note: these links are listed for security research and verification purposes only.

CVE
CVE-2026-43825
Severity
HIGH
CVSS
7.3
EPSS
8.80%
Apache Java

Original NVD 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.

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