FKIE_CVE-2019-0068
Vulnerability from fkie_nvd - Published: 2019-10-09 20:15 - Updated: 2026-06-17 02:07
Severity
6.5 (Medium) - CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/
Summary
The SRX flowd process, responsible for packet forwarding, may crash and restart when processing specific multicast packets. By continuously sending the specific multicast packets, an attacker can repeatedly crash the flowd process causing a sustained Denial of Service. This issue affects Juniper Networks Junos OS on SRX Series: 12.3X48 versions prior to 12.3X48-D90; 15.1X49 versions prior to 15.1X49-D180; 17.3 versions; 17.4 versions prior to 17.4R2-S5, 17.4R3; 18.1 versions prior to 18.1R3-S6; 18.2 versions prior to 18.2R2-S4, 18.2R3; 18.3 versions prior to 18.3R2-S1, 18.3R3; 18.4 versions prior to 18.4R2; 19.1 versions prior to 19.1R1-S1, 19.1R2.
References
| URL | Tags | ||
|---|---|---|---|
| sirt@juniper.net | https://kb.juniper.net/JSA10968 | Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://kb.juniper.net/JSA10968 | Vendor Advisory |
Impacted products
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"value": "El proceso flowd SRX, responsable del reenv\u00edo de paquetes, puede bloquearse y reiniciarse cuando se procesan paquetes de multidifusi\u00f3n espec\u00edficos. Mediante el env\u00edo de manera continua de los paquetes de multidifusi\u00f3n espec\u00edficos, un atacante puede bloquear repetidamente el proceso flowd causando una Denegaci\u00f3n de Servicio sostenida. Este problema afecta al Juniper Networks Junos OS en la serie SRX: versiones 12.3X48 anteriores a 12.3X48-D90; versiones 15.1X49 anteriores a 15.1X49-D180; versiones 17.3; versiones 17.4 anteriores a 17.4R2-S5, 17.4R3; versiones 18.1 anteriores a 18.1R3-S6; versiones 18.2 anteriores a 18.2R2-S4, 18.2R3; versiones 18.3 anteriores a 18.3R2-S1, 18.3R3; versiones 18.4 anteriores a 18.4R2; versiones 19.1 anteriores a 19.1R1-S1, 19.1R2."
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"id": "CVE-2019-0068",
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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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