GHSA-85QJ-F5WG-RWP9
Vulnerability from github – Published: 2026-06-23 21:30 – Updated: 2026-09-24 19:05Spring Statemachine's Kryo-based persistence backends (JPA, MongoDB, Redis and ZooKeeper) deserialise persisted state-machine contexts without enforcing a class allowlist (CWE-502, deserialisation of untrusted data), which can lead to remote code execution inside the application JVM.
Affected versions: Spring Statemachine 4.0.0 through 4.0.1 Spring Statemachine 3.2.0 through 3.2.4
{
"affected": [
{
"package": {
"ecosystem": "Maven",
"name": "org.springframework.statemachine:spring-statemachine-kryo"
},
"ranges": [
{
"events": [
{
"introduced": "3.2.0"
},
{
"last_affected": "3.2.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 4.0.1"
},
"package": {
"ecosystem": "Maven",
"name": "org.springframework.statemachine:spring-statemachine-kryo"
},
"ranges": [
{
"events": [
{
"introduced": "4.0.0"
},
{
"fixed": "4.0.2"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-41862"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": true,
"github_reviewed_at": "2026-09-24T19:05:05Z",
"nvd_published_at": "2026-06-23T21:16:57Z",
"severity": "HIGH"
},
"details": "Spring Statemachine\u0027s Kryo-based persistence backends (JPA, MongoDB, Redis and ZooKeeper) deserialise persisted state-machine contexts without enforcing a class allowlist (CWE-502, deserialisation of untrusted data), which can lead to remote code execution inside the application JVM.\n\nAffected versions:\nSpring Statemachine 4.0.0 through 4.0.1\nSpring Statemachine 3.2.0 through 3.2.4",
"id": "GHSA-85qj-f5wg-rwp9",
"modified": "2026-09-24T19:05:05Z",
"published": "2026-06-23T21:30:32Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-41862"
},
{
"type": "WEB",
"url": "https://github.com/spring-attic/spring-statemachine/commit/6b77ea6b729e5346d83e31f36c43818665d67384"
},
{
"type": "PACKAGE",
"url": "https://github.com/spring-attic/spring-statemachine"
},
{
"type": "WEB",
"url": "https://github.com/spring-attic/spring-statemachine/releases/tag/v4.0.2"
},
{
"type": "WEB",
"url": "https://spring.io/security/cve-2026-41862"
}
],
"schema_version": "1.4.0",
"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": "Spring Statemachine\u0027s Kryo-based persistence backends deserialize persisted state-machine contexts without enforcing a class allowlist"
}
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
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.