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CVE-2026-43825

Estado: AnalizadaAlta (7.3)—

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.

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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.

CVSS

Probabilidad de explotación (EPSS)

EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).

🎯 Técnicas ATT&CK

Cómo se explota esta vulnerabilidad y qué consigue el atacante, en el lenguaje de MITRE ATT&CK.

Deserialization no validada en método público estático expuesto a red (AV:N, PR:N, UI:N); permite RCE mediante gadget chains disponibles en classpath del consumidor.

Inferido por nuestro agente de análisis a partir de la descripción oficial, el vector CVSS y la CWE, y comprobado por un supervisor. Puede contener errores.

🛡️ Mitigaciones ATT&CK que cubren estas técnicas

Privileged Account ManagementVulnerability ScanningRestrict Web-Based ContentNetwork SegmentationLimit Software InstallationLimit Access to Resource Over Network

Tecnologías afectadas (1)

Apache — Opennlp

CWE

Referencias

JSON original (NVD)

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{
  "id": "CVE-2026-43825",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-43825",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2026-07-06T19:11:49.058504Z"
        }
      }
    ],
    "cvssMetricV31": [
      {
        "type": "Secondary",
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 7.3,
          "attackVector": "NETWORK",
          "baseSeverity": "HIGH",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
          "integrityImpact": "LOW",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "LOW",
          "privilegesRequired": "NONE",
          "confidentialityImpact": "LOW"
        },
        "impactScore": 3.4,
        "exploitabilityScore": 3.9
      }
    ]
  },
  "affected": [
    {
      "source": "security@apache.org",
      "affectedData": [
        {
          "vendor": "Apache Software Foundation",
          "product": "Apache OpenNLP :: Core :: ML :: LibSVM",
          "versions": [
            {
              "status": "affected",
              "version": "3.0.0-M1",
              "lessThan": "3.0.0-M4",
              "versionType": "semver"
            }
          ],
          "packageName": "org.apache.opennlp:opennlp-ml-libsvm",
          "collectionURL": "https://repo.maven.apache.org/maven2",
          "defaultStatus": "unaffected"
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  ],
  "published": "2026-07-06T17:16:31.570",
  "references": [
    {
      "url": "https://lists.apache.org/thread/c7kom0pgk9cbpfnbooh5m3g85ndf50hn",
      "tags": [
        "Mailing List",
        "Vendor Advisory"
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      "source": "security@apache.org"
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      "source": "af854a3a-2127-422b-91ae-364da2661108"
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  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "type": "Secondary",
      "source": "security@apache.org",
      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "Untrusted Java Deserialization in Apache OpenNLP SvmDoccatModel\n\nVersions Affected:\n  before 3.0.0-M4 (libsvm document categorization module; introduced in\n  OPENNLP-1808 and only present on the 3.x line)\n\nDescription:\nSvmDoccatModel.deserialize(InputStream) reads an attacker-controlled\nstream with java.io.ObjectInputStream and calls readObject() without an\nObjectInputFilter installed. ObjectInputStream materialises every class\nreferenced in the stream before the resulting object is cast to\nSvmDoccatModel, so the cast that follows readObject() executes only\nafter the foreign object graph has already been deserialised in full.\n\nIf a Java deserialization gadget chain is available on the consumer's\nclasspath, a crafted payload supplied to\ndeserialize() executes arbitrary code in the JVM that loads it. Apache\nOpenNLP itself does not ship a known gadget chain, so the realistic\nrisk is to downstream applications that embed the libsvm module\nalongside vulnerable transitive dependencies. The method is public and\nstatic, so any caller can pass an untrusted stream to it directly.\n\nThe practical impact is remote code execution against processes that\nload SvmDoccatModel instances from untrusted or semi-trusted origins.\n\nMitigation:\n\n3.x users should upgrade to 3.0.0-M4.\n\nUsers who cannot upgrade immediately should treat all serialized\nSvmDoccatModel streams as untrusted input unless their provenance is\nverified, and should avoid invoking SvmDoccatModel.deserialize() on\nstreams supplied by end users or fetched from third-party sources\nwithout integrity checks."
    }
  ],
  "lastModified": "2026-07-08T19:46:24.460",
  "configurations": [
    {
      "nodes": [
        {
          "negate": false,
          "cpeMatch": [
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              "criteria": "cpe:2.3:a:apache:opennlp:3.0.0:m1:*:*:*:*:*:*",
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            },
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              "vulnerable": true,
              "matchCriteriaId": "FB9FDE8C-5093-4106-99EA-D1C273B81D21"
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          "operator": "OR"
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  "sourceIdentifier": "security@apache.org"
}