GHSA-HWXV-6JPH-89HG
Vulnerability from github – Published: 2026-08-27 06:31 – Updated: 2026-08-27 06:31
VLAI
Details
SerializingHttpMessageConverter deserializes the body of incoming HTTP requests with a raw java.io.ObjectInputStream and no class filtering. Any request with Content-Type application/x-java-serialized-object whose body resolves to a Serializable type is read directly via readObject(). If an application using this converter on an inbound HTTP endpoint has any known Java deserialization "gadget" on its classpath, a remote, unauthenticated attacker can achieve arbitrary code execution. Spring Integration 7.1.0 Spring Integration 7.0.0 - 7.0.5 Spring Integration 6.5.0 - 6.5.10 Spring Integration 6.4.0 - 6.4.12 Spring Integration 5.5.21 and earlier
Severity
6.4 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-47864"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-27T06:17:17Z",
"severity": "MODERATE"
},
"details": "SerializingHttpMessageConverter deserializes the body of incoming HTTP requests with a raw java.io.ObjectInputStream and no class filtering. Any request with Content-Type application/x-java-serialized-object whose body resolves to a Serializable type is read directly via readObject(). If an application using this converter on an inbound HTTP endpoint has any known Java deserialization \"gadget\" on its classpath, a remote, unauthenticated attacker can achieve arbitrary code execution.\nSpring Integration 7.1.0\nSpring Integration 7.0.0 - 7.0.5\nSpring Integration 6.5.0 - 6.5.10\nSpring Integration 6.4.0 - 6.4.12\nSpring Integration 5.5.21 and earlier",
"id": "GHSA-hwxv-6jph-89hg",
"modified": "2026-08-27T06:31:34Z",
"published": "2026-08-27T06:31:34Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-47864"
},
{
"type": "WEB",
"url": "https://spring.io/security/cve-2026-47864"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:L",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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.
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.
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