oesa-2022-2066
Vulnerability from osv_openeuler
XStream is a simple library to serialize objects to XML and back again. A high level facade is supplied that simplifies common use cases. Custom objects can be serialized without need for specifying mappings. Speed and low memory footprint are a crucial part of the design,making it suitable for large object graphs or systems with high message throughput. No information is duplicated that can be obtained via reflection. This results in XML that is easier to read for humans and more compact than native Java serialization. XStream serializes internal fields, including private and final. Supports non-public and inner classes. Classes are not required to have default constructor.Duplicate references encountered in the object-model will be maintained. Supports circular references. By implementing an interface, XStream can serialize directly to/from any tree structure (not just XML). Strategies can be registered allowing customization of how particular types are represented as XML. When an exception occurs due to malformed XML, detailed diagnostics are provided to help isolate and fix the problem.
Security Fix(es):
XStream is an open source java library to serialize objects to XML and back again. Versions prior to 1.4.19 may allow a remote attacker to allocate 100% CPU time on the target system depending on CPU type or parallel execution of such a payload resulting in a denial of service only by manipulating the processed input stream. XStream 1.4.19 monitors and accumulates the time it takes to add elements to collections and throws an exception if a set threshold is exceeded. Users are advised to upgrade as soon as possible. Users unable to upgrade may set the NO_REFERENCE mode to prevent recursion. See GHSA-rmr5-cpv2-vgjf for further details on a workaround if an upgrade is not possible.(CVE-2021-43859)
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"noarch": [
"xstream-parent-1.4.18-2.oe2203.noarch.rpm",
"xstream-javadoc-1.4.18-2.oe2203.noarch.rpm",
"xstream-benchmark-1.4.18-2.oe2203.noarch.rpm",
"xstream-hibernate-1.4.18-2.oe2203.noarch.rpm",
"xstream-1.4.18-2.oe2203.noarch.rpm"
],
"src": [
"xstream-1.4.18-2.oe2203.src.rpm"
]
},
"package": {
"ecosystem": "openEuler:22.03-LTS",
"name": "xstream",
"purl": "pkg:rpm/openEuler/xstream\u0026distro=openEuler-22.03-LTS"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.4.18-2.oe2203"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"severity": "High"
},
"details": "XStream is a simple library to serialize objects to XML and back again. A high level facade is supplied that simplifies common use cases. Custom objects can be serialized without need for specifying mappings. Speed and low memory footprint are a crucial part of the design,making it suitable for large object graphs or systems with high message throughput. No information is duplicated that can be obtained via reflection. This results in XML that is easier to read for humans and more compact than native Java serialization. XStream serializes internal fields, including private and final. Supports non-public and inner classes. Classes are not required to have default constructor.Duplicate references encountered in the object-model will be maintained. Supports circular references. By implementing an interface, XStream can serialize directly to/from any tree structure (not just XML). Strategies can be registered allowing customization of how particular types are represented as XML. When an exception occurs due to malformed XML, detailed diagnostics are provided to help isolate and fix the problem.\r\n\r\nSecurity Fix(es):\r\n\r\nXStream is an open source java library to serialize objects to XML and back again. Versions prior to 1.4.19 may allow a remote attacker to allocate 100% CPU time on the target system depending on CPU type or parallel execution of such a payload resulting in a denial of service only by manipulating the processed input stream. XStream 1.4.19 monitors and accumulates the time it takes to add elements to collections and throws an exception if a set threshold is exceeded. Users are advised to upgrade as soon as possible. Users unable to upgrade may set the NO_REFERENCE mode to prevent recursion. See GHSA-rmr5-cpv2-vgjf for further details on a workaround if an upgrade is not possible.(CVE-2021-43859)",
"id": "OESA-2022-2066",
"modified": "2026-08-06T11:05:23Z",
"published": "2022-11-11T11:05:23Z",
"references": [
{
"type": "ADVISORY",
"url": "https://www.openeuler.org/en/security/safety-bulletin/detail.html?id=openEuler-SA-2022-2066"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-43859"
}
],
"schema_version": "1.7.2",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "xstream security update",
"upstream": [
"CVE-2021-43859"
]
}
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.