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Apache Opennlp CVE-2026-63317

| EUVDEUVD-2026-48529 MEDIUM
Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection') (CWE-470)
2026-07-24 apache GHSA-ccq5-x868-5p6x
5.6
CVSS 3.1 · Vendor: apache
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Severity by source

Vendor (apache) PRIMARY
5.6 MEDIUM
AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:L
SUSE
MEDIUM
qualitative
Red Hat
5.8 MEDIUM
qualitative

Primary rating from Vendor (apache).

CVSS VectorVendor: apache

Attack Vector
Network
Attack Complexity
High
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
Low
Availability
Low

Lifecycle Timeline

4
Analysis Generated
Jul 26, 2026 - 12:21 vuln.today
CVSS changed
Jul 24, 2026 - 19:22 NVD
5.6 (MEDIUM)
Patch available
Jul 24, 2026 - 10:02 EUVD
CVE Published
Jul 24, 2026 - 08:07 cve.org
MEDIUM 5.6

DescriptionCVE.org

Arbitrary Class Instantiation via XML Feature Generator Descriptor and Format Name in Apache OpenNLP

Versions Affected:

  • before 2.5.10
  • before 3.0.0-M5

Description:

Three code paths in Apache OpenNLP load a class by its fully-qualified name via Class.forName() and invoke its no-arg constructor without any prior validation of the class name or its type.

The affected paths are:

(1) GeneratorFactory, which reads the class attribute of generator elements in an XML feature generator descriptor; such descriptors are embedded as artifacts in model archives (e.g. TokenNameFinder and POSTagger models) and are parsed during model loading, so an attacker who can supply a crafted model archive controls the class name directly.

(2) StreamFactoryRegistry.getFactory(Class, String), which falls back to interpreting an unregistered format name as the fully-qualified class name of an ObjectStreamFactory; this is exploitable in applications that pass untrusted format names (e.g. exposing the -format parameter of the command-line tooling to external input).

(3) StringInterners, which instantiates the interner implementation named by the opennlp.interner.class system property; this value is normally deployer-controlled, so it is hardened as defense in depth rather than being independently attacker-reachable.

Exploitation requires a class with attacker-useful side effects in its static initializer or no-arg constructor (JNDI lookup, outbound network I/O, filesystem access) to be present on the classpath, so this is not drop-in remote code execution. T

Mitigation:

Upgrade to a fixed release.

The fix routes all three paths through ExtensionLoader.instantiateExtension(...), which consults a package-prefix allowlist before Class.forName() is invoked, so a disallowed class is never loaded, initialized, or constructed. Classes under the opennlp. prefix remain permitted by default. Deployments that load models referencing feature generator factories, object stream factories, or string interners outside opennlp.* must opt those packages in, either programmatically via ExtensionLoader.registerAllowedPackage(String) before the first model load, or by setting the OPENNLP_EXT_ALLOWED_PACKAGES system property to a comma-separated list of allowed package prefixes.

Users who cannot upgrade immediately should ensure all model files and format names are sourced from trusted origins and should audit their classpath for classes with side-effecting static initializers or constructors.

AnalysisAI

Limited code execution risk in Apache OpenNLP through crafted model archives or untrusted format names permits arbitrary class instantiation without prior validation. The flaw exists in three code paths (GeneratorFactory, StreamFactoryRegistry, and StringInterners) that use Class.forName() on attacker-supplied data. Exploitation is contingent on the presence of a class with hazardous static initializers or no-arg constructors on the classpath; no active exploitation has been reported.

Vendor StatusVendor

SUSE

Severity: Moderate
Product Status
openSUSE Tumbleweed Fixed

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CVE-2026-63317 vulnerability details – vuln.today

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