FKIE_CVE-2017-8045
Vulnerability from fkie_nvd - Published: 2017-11-27 10:29 - Updated: 2026-06-17 01:25
Severity
Summary
In Pivotal Spring AMQP versions prior to 1.7.4, 1.6.11, and 1.5.7, an org.springframework.amqp.core.Message may be unsafely deserialized when being converted into a string. A malicious payload could be crafted to exploit this and enable a remote code execution attack.
References
| URL | Tags | ||
|---|---|---|---|
| security_alert@emc.com | http://www.securityfocus.com/bid/100936 | Third Party Advisory, VDB Entry | |
| security_alert@emc.com | https://pivotal.io/security/cve-2017-8045 | Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | http://www.securityfocus.com/bid/100936 | Third Party Advisory, VDB Entry | |
| af854a3a-2127-422b-91ae-364da2661108 | https://pivotal.io/security/cve-2017-8045 | Vendor Advisory |
Impacted products
{
"affected": [
{
"affectedData": [
{
"product": "Spring AMQP Spring AMQP versions prior to 1.7.4, 1.6.11, and 1.5.7",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "Spring AMQP Spring AMQP versions prior to 1.7.4, 1.6.11, and 1.5.7"
}
]
}
],
"source": "security_alert@emc.com"
}
],
"configurations": [
{
"nodes": [
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"vulnerable": true
},
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"matchCriteriaId": "FD0434AC-A22B-410C-BD47-5416ED236D6B",
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},
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"negate": false,
"operator": "OR"
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]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In Pivotal Spring AMQP versions prior to 1.7.4, 1.6.11, and 1.5.7, an org.springframework.amqp.core.Message may be unsafely deserialized when being converted into a string. A malicious payload could be crafted to exploit this and enable a remote code execution attack."
},
{
"lang": "es",
"value": "En Pivotal Spring AMQP, en versiones anteriores a la 1.7.4, 1.6.11 y 1.5.7, org.springframework.amqp.core.Message podr\u00eda deserializarse de forma insegura al convertirse en cadena. Una carga \u00fatil maliciosa podr\u00eda manipularse para explotar esto y permitir un ataque de ejecuci\u00f3n remota de c\u00f3digo."
}
],
"id": "CVE-2017-8045",
"lastModified": "2026-06-17T01:25:41.183",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-11-27T10:29:00.907",
"references": [
{
"source": "security_alert@emc.com",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/100936"
},
{
"source": "security_alert@emc.com",
"tags": [
"Vendor Advisory"
],
"url": "https://pivotal.io/security/cve-2017-8045"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
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"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/100936"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
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],
"url": "https://pivotal.io/security/cve-2017-8045"
}
],
"sourceIdentifier": "security_alert@emc.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-502"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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