FKIE_CVE-2018-1275
Vulnerability from fkie_nvd - Published: 2018-04-11 13:29 - Updated: 2026-06-17 01:50
Severity
Summary
Spring Framework, versions 5.0 prior to 5.0.5 and versions 4.3 prior to 4.3.16 and older unsupported versions, allow applications to expose STOMP over WebSocket endpoints with a simple, in-memory STOMP broker through the spring-messaging module. A malicious user (or attacker) can craft a message to the broker that can lead to a remote code execution attack. This CVE addresses the partial fix for CVE-2018-1270 in the 4.3.x branch of the Spring Framework.
References
Impacted products
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Spring Framework, versions 5.0 prior to 5.0.5 and versions 4.3 prior to 4.3.16 and older unsupported versions, allow applications to expose STOMP over WebSocket endpoints with a simple, in-memory STOMP broker through the spring-messaging module. A malicious user (or attacker) can craft a message to the broker that can lead to a remote code execution attack. This CVE addresses the partial fix for CVE-2018-1270 in the 4.3.x branch of the Spring Framework."
},
{
"lang": "es",
"value": "Spring Framework, en versiones anteriores a las comprendidas entre la 5.0 y la 5.0.5, versiones 4.3 anteriores a la 4.3.16 y versiones antiguas no soportadas, permite que las aplicaciones expongan STOMP sobre los endpoints WebSocket con un simple broker STOP dentro de la memoria a trav\u00e9s del m\u00f3dulo spring-messaging. Un usuario (o atacante) malicioso puede crear un mensaje para el broker que puede conducir a un ataque de ejecuci\u00f3n remota de c\u00f3digo. Este CVE hace referencia a una soluci\u00f3n parcial de CVE-2018-1270 en la rama 4.3.x de Spring Framework."
}
],
"id": "CVE-2018-1275",
"lastModified": "2026-06-17T01:50:53.827",
"metrics": {
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"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"obtainAllPrivilege": false,
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"attackVector": "NETWORK",
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"baseScore": 9.8,
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
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"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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},
"published": "2018-04-11T13:29:00.353",
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"value": "CWE-358"
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}
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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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