CVE-2026-47860 (GCVE-0-2026-47860)
Vulnerability from cvelistv5 – Published: 2026-08-26 23:28 – Updated: 2026-08-27 14:48
VLAI
EPSS
VEX
Title
Unbounded decompression of attacker-supplied compressed message bodies
Summary
An attacker who can publish to a queue consumed by an application that has enabled message decompression can crash the consumer JVM with a single ~1 MB message.
Spring AMQP 4.1.0
Spring AMQP 4.0.0 - 4.0.4
Spring AMQP 3.2.0 - 3.2.12
Spring AMQP 2.4.18 and earlier
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-27 14:47 UTC
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Spring | Spring AMQP |
Affected:
4.1.0
(custom)
Affected: 4.0.0 , ≤ 4.0.4 (custom) Affected: 3.2.0 , ≤ 3.2.12 (custom) Affected: 0 , ≤ 2.4.18 (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.
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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