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CVE-2026-82617

Estado: AnalizadaCrítica (10)—

The two built-in name-finder patterns exposed by opennlp.tools.namefind.RegexNameFinderFactory - DEFAULT_REGEX_NAME_FINDER.EMAIL and DEFAULT_REGEX_NAME_FINDER.URL - contain ambiguous nested quantifiers. An application that obtains these finders through RegexNameFinderFactory.getDefaultRegexNameFinders(...) and then applies them to untrusted text through RegexNameFinder.find(String[]) or RegexNameFinder.find(String) can be driven into super-linear backtracking or into unbounded matcher recursion by a small crafted input.

For the EMAIL pattern, a long run of local-part characters that is never followed by an @ forces the matcher to re-scan to end-of-input from every starting offset.

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Cost grows quadratically with input length: an input of approximately 32 KB consumes several seconds of CPU in a single find() call and returns no match, and each doubling of the input multiplies the cost roughly four-fold.

For the URL pattern, the query-string sub-expression nests a capturing repetition inside an outer repetition. The JDK matcher recurses once per query token, so an input of approximately 4 KB containing many &-separated tokens exhausts the thread stack and causes java.lang.StackOverflowError to propagate out of find(), terminating the calling thread. On a thread created with a smaller stack (for example -Xss512k, typical of server worker pools) approximately 1 KB is sufficient.

In both cases an attacker who can supply text for analysis can convert a single request into seconds to minutes of pinned CPU, or into an abrupt thread death, denying service to the embedding application. No authentication, special configuration, or model file is required beyond the application having selected one of the two built-in finders.

This issue affects Apache OpenNLP: from 2.0.0 through 2.5.11; from 3.0.0-M1 through 3.0.0-M5.

Users are recommended to upgrade to version 2.5.12, or to 3.0.0-M6 for users tracking the 3.0.0 milestone line, which fix the issue.

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.

ReDoS en patrones regex expuestos vía API remota causa denegación de servicio (CPU pinned, StackOverflowError) sin autenticación: AV:N/PR:N/UI:N. Vector CVSS crítico con VC:H/VI:H/VA:H confirma impacto total.

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 ManagementFilter Network TrafficVulnerability ScanningRestrict Web-Based ContentNetwork SegmentationLimit Software Installation

Tecnologías afectadas (1)

Apache — Opennlp

CWE

Referencias

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      "value": "The two built-in name-finder patterns exposed by\nopennlp.tools.namefind.RegexNameFinderFactory - DEFAULT_REGEX_NAME_FINDER.EMAIL\nand DEFAULT_REGEX_NAME_FINDER.URL - contain ambiguous nested quantifiers. An\napplication that obtains these finders through\nRegexNameFinderFactory.getDefaultRegexNameFinders(...) and then applies them to\nuntrusted text through RegexNameFinder.find(String[]) or RegexNameFinder.find(String)\ncan be driven into super-linear backtracking or into unbounded matcher recursion by a\nsmall crafted input.\n\n\n\n\n\nFor the EMAIL pattern, a long run of local-part characters that is never followed by an\n@ forces the matcher to re-scan to end-of-input from every starting offset. Cost grows\nquadratically with input length: an input of approximately 32 KB consumes several seconds\nof CPU in a single find() call and returns no match, and each doubling of the input\nmultiplies the cost roughly four-fold.\n\n\n\n\n\nFor the URL pattern, the query-string sub-expression nests a capturing repetition inside\nan outer repetition. The JDK matcher recurses once per query token, so an input of\napproximately 4 KB containing many &-separated tokens exhausts the thread stack and\ncauses java.lang.StackOverflowError to propagate out of find(), terminating the\ncalling thread. On a thread created with a smaller stack (for example -Xss512k, typical\nof server worker pools) approximately 1 KB is sufficient.\n\n\n\n\n\nIn both cases an attacker who can supply text for analysis can convert a single request\ninto seconds to minutes of pinned CPU, or into an abrupt thread death, denying service to\nthe embedding application. No authentication, special configuration, or model file is\nrequired beyond the application having selected one of the two built-in finders.\n\n\n\n\n\nThis issue affects Apache OpenNLP: from 2.0.0 through 2.5.11; from 3.0.0-M1 through\n3.0.0-M5.\n\n\n\n\n\n\n\n\n\nUsers are recommended to upgrade to version 2.5.12, or to 3.0.0-M6 for users tracking the\n3.0.0 milestone line, which fix the issue."
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  "lastModified": "2026-09-16T14:05:52.550",
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