FKIE_CVE-2026-37224
Vulnerability from fkie_nvd - Published: 2026-06-01 17:16 - Updated: 2026-07-22 07:10
Severity
Summary
FlexRIC v2.0.0 crashes when receiving a duplicate E2_SETUP_REQUEST from the same or spoofed E2 Node. The iApp registry enforces node ID uniqueness via assert() rather than graceful rejection. A remote unauthenticated attacker can crash the iApp process (port 36421) by sending two E2_SETUP_REQUESTs with the same E2 node configuration, triggering SIGABRT.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "FlexRIC v2.0.0 crashes when receiving a duplicate E2_SETUP_REQUEST from the same or spoofed E2 Node. The iApp registry enforces node ID uniqueness via assert() rather than graceful rejection. A remote unauthenticated attacker can crash the iApp process (port 36421) by sending two E2_SETUP_REQUESTs with the same E2 node configuration, triggering SIGABRT."
},
{
"lang": "es",
"value": "FlexRIC v2.0.0 se bloquea al recibir una solicitud E2_SETUP_REQUEST duplicada del mismo o de un Nodo E2 suplantado. El registro de iApp impone la unicidad del ID de nodo mediante assert() en lugar de un rechazo controlado. Un atacante remoto no autenticado puede bloquear el proceso de iApp (puerto 36421) al enviar dos solicitudes E2_SETUP_REQUEST con la misma configuraci\u00f3n de nodo E2, lo que desencadena SIGABRT."
}
],
"id": "CVE-2026-37224",
"lastModified": "2026-07-22T07:10:00.107",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-37224",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-01T18:48:34.208355Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-06-01T17:16:58.760",
"references": [
{
"source": "cve@mitre.org",
"url": "https://github.com/MinamiKotor1/oran-security-advisories-zhongnan-luo/blob/main/advisories/CVE-2026-37224.md"
},
{
"source": "cve@mitre.org",
"url": "https://gitlab.eurecom.fr/mosaic5g/flexric"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-617"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
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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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