CVE-2026-47864 (GCVE-0-2026-47864)
Vulnerability from cvelistv5 – Published: 2026-08-27 05:06 – Updated: 2026-08-28 16:51
VLAI
EPSS
VEX
Title
Unsafe Java deserialization in SerializingHttpMessageConverter — remote code execution
Summary
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)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-28 03:55 UTC
CWE
- CWE-502 Deserialization of Untrusted Data
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Spring | Spring Integration |
Affected:
7.1.0
(custom)
Affected: 7.0.0 , ≤ 7.0.5 (custom) Affected: 6.5.0 , ≤ 6.5.10 (custom) Affected: 6.4.0 , ≤ 6.4.12 (custom) Affected: 0 , ≤ 5.5.21 (custom) |
guessed |
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
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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.
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