FKIE_CVE-2022-24806
Vulnerability from fkie_nvd - Published: 2024-04-16 20:15 - Updated: 2026-06-17 04:32
Severity
6.5 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N
5.3 (Medium) - CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:H
5.3 (Medium) - CVSS:3.1/
Summary
net-snmp provides various tools relating to the Simple Network Management Protocol. Prior to version 5.9.2, a user with read-write credentials can exploit an Improper Input Validation vulnerability when SETing malformed OIDs in master agent and subagent simultaneously. Version 5.9.2 contains a patch. Users should use strong SNMPv3 credentials and avoid sharing the credentials. Those who must use SNMPv1 or SNMPv2c should use a complex community string and enhance the protection by restricting access to a given IP address range.
References
Impacted products
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"value": "net-snmp provides various tools relating to the Simple Network Management Protocol. Prior to version 5.9.2, a user with read-write credentials can exploit an Improper Input Validation vulnerability when SETing malformed OIDs in master agent and subagent simultaneously. Version 5.9.2 contains a patch. Users should use strong SNMPv3 credentials and avoid sharing the credentials. Those who must use SNMPv1 or SNMPv2c should use a complex community string and enhance the protection by restricting access to a given IP address range.\n"
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"value": "net-snmp proporciona varias herramientas relacionadas con el protocolo simple de administraci\u00f3n de red. Antes de la versi\u00f3n 5.9.2, un usuario con credenciales de lectura y escritura pod\u00eda aprovechar una vulnerabilidad de validaci\u00f3n de entrada incorrecta al establecer OID con formato incorrecto en el agente maestro y el subagente simult\u00e1neamente. La versi\u00f3n 5.9.2 contiene un parche. Los usuarios deben utilizar credenciales SNMPv3 seguras y evitar compartirlas. Aquellos que deben utilizar SNMPv1 o SNMPv2c deben utilizar una cadena de comunidad compleja y mejorar la protecci\u00f3n restringiendo el acceso a un rango de direcciones IP determinado."
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"id": "CVE-2022-24806",
"lastModified": "2026-06-17T04:32:33.717",
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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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