FKIE_CVE-2021-30468
Vulnerability from fkie_nvd - Published: 2021-06-16 12:15 - Updated: 2026-06-17 03:50
Severity
Summary
A vulnerability in the JsonMapObjectReaderWriter of Apache CXF allows an attacker to submit malformed JSON to a web service, which results in the thread getting stuck in an infinite loop, consuming CPU indefinitely. This issue affects Apache CXF versions prior to 3.4.4; Apache CXF versions prior to 3.3.11.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| apache | cxf | * | |
| apache | cxf | * | |
| apache | tomee | 8.0.6 | |
| oracle | business_intelligence | 5.5.0.0.0 | |
| oracle | business_intelligence | 5.9.0.0.0 | |
| oracle | business_intelligence | 12.2.1.3.0 | |
| oracle | business_intelligence | 12.2.1.4.0 | |
| oracle | communications_element_manager | 8.2.2 | |
| oracle | communications_messaging_server | 8.1 |
{
"affected": [
{
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{
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"vendor": "Apache Software Foundation",
"versions": [
{
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{
"at": "3.3.11",
"status": "unaffected"
}
],
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"status": "affected",
"version": "Apache CXF",
"versionType": "custom"
}
]
}
],
"source": "security@apache.org"
}
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"value": "A vulnerability in the JsonMapObjectReaderWriter of Apache CXF allows an attacker to submit malformed JSON to a web service, which results in the thread getting stuck in an infinite loop, consuming CPU indefinitely. This issue affects Apache CXF versions prior to 3.4.4; Apache CXF versions prior to 3.3.11."
},
{
"lang": "es",
"value": "Una vulnerabilidad en la funci\u00f3n JsonMapObjectReaderWriter de Apache CXF permite a un atacante enviar un JSON malformado hacia un servicio web, lo que hace que el subproceso se quede atascado en un bucle infinito, consumiendo CPU indefinidamente. Este problema afecta a Apache CXF versiones anteriores a 3.4.4 y Apache CXF versiones anteriores a 3.3.11"
}
],
"id": "CVE-2021-30468",
"lastModified": "2026-06-17T03:50:17.760",
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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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