oesa-2025-1092
Vulnerability from osv_openeuler
Infinispan is an extremely scalable, highly available data grid platform - 100% open source, and written in Java. The purpose of Infinispan is to expose a data structure that is highly concurrent, designed ground-up to make the most of modern multi-processor/multi-core architectures while at the same time providing distributed cache capabilities. At its core Infinispan exposes a Cache interface which extends java.util.Map. It is also optionally is backed by a peer-to-peer network architecture to distribute state efficiently around a data grid.
Security Fix(es):
A vulnerability was found in Infinispan such that the invokeAccessibly method from the public class ReflectionUtil allows any application class to invoke private methods in any class with Infinispan s privileges. The attacker can use reflection to introduce new, malicious behavior into the application.(CVE-2019-10174)
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"noarch": [
"infinispan-8.2.4-13.oe2403.noarch.rpm",
"infinispan-help-8.2.4-13.oe2403.noarch.rpm"
],
"src": [
"infinispan-8.2.4-13.oe2403.src.rpm"
]
},
"package": {
"ecosystem": "openEuler:24.03-LTS",
"name": "infinispan",
"purl": "pkg:rpm/openEuler/infinispan\u0026distro=openEuler-24.03-LTS"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "8.2.4-13.oe2403"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"severity": "High"
},
"details": "Infinispan is an extremely scalable, highly available data grid platform - 100% open source, and written in Java. The purpose of Infinispan is to expose a data structure that is highly concurrent, designed ground-up to make the most of modern multi-processor/multi-core architectures while at the same time providing distributed cache capabilities. At its core Infinispan exposes a Cache interface which extends java.util.Map. It is also optionally is backed by a peer-to-peer network architecture to distribute state efficiently around a data grid.\r\n\r\nSecurity Fix(es):\n\nA vulnerability was found in Infinispan such that the invokeAccessibly method from the public class ReflectionUtil allows any application class to invoke private methods in any class with Infinispan s privileges. The attacker can use reflection to introduce new, malicious behavior into the application.(CVE-2019-10174)",
"id": "OESA-2025-1092",
"modified": "2026-08-06T11:08:11Z",
"published": "2025-02-08T11:08:11Z",
"references": [
{
"type": "ADVISORY",
"url": "https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2025-1092"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-10174"
}
],
"schema_version": "1.7.2",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "infinispan security update",
"upstream": [
"CVE-2019-10174"
]
}
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.