Exploitation status
No KEV listing in available snapshot
Absence from KEV does not establish absence of exploitation.
Indicator investigation
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Indicator
Type cve · source NVD CVE
HIGH SEVERITY (CVSS 7.3)
Vulnerability investigation
The available snapshot does not list this vulnerability in CISA KEV; that is not proof exploitation has not occurred. NVD rates the technical severity high at CVSS 7.3. These are public vulnerability signals, not proof that a specific environment runs an affected version.
Exploitation status
No KEV listing in available snapshot
Absence from KEV does not establish absence of exploitation.
30-day exploitation likelihood
Unavailable
FIRST EPSS did not return a score.
Technical severity
7.3 · high
NVD base score; exploit likelihood is measured separately.
Affected surface
1 parsed product
Apache Opennlp 3.0.0
Weakness class
CWE-502: Deserialization of Untrusted Data
CWE describes the weakness category, not whether a deployed product is reachable or exploitable.
Corpus evidence
1 connectors · 3 citations
No related report text is available in the local corpus.
Findings stay bounded to named sources and observable infrastructure.
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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Investigation status
Checking for newly completed evidence
NIST NVD
NVD evidence is available in this response
CISA KEV
Known-exploitation catalog check is pending
FIRST EPSS
Forensia does not request or publish EPSS while source rights are under review
Reports
Report links are still being resolved
Relationships
Product and vulnerability relationships are still being prepared
Local EPSS row, KEV flag, and catalog notes from stored metadata only.
Vendor/product strings parsed from local CPE URIs (no inferred ATT&CK).
| Product | CPE (truncated) |
|---|---|
| Apache Opennlp 3.0.0 | cpe:2.3:a:apache:opennlp:3.0.0:m3:*:*:*:*:*:* |
| Apache Opennlp 3.0.0 | cpe:2.3:a:apache:opennlp:3.0.0:m2:*:*:*:*:*:* |
| Apache Opennlp 3.0.0 | cpe:2.3:a:apache:opennlp:3.0.0:m1:*:*:*:*:*:* |
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