CVE-2020-1689 (GCVE-0-2020-1689)
Vulnerability from cvelistv5 – Published: 2020-10-16 20:31 – Updated: 2024-09-17 01:31
VLAI
EPSS
VEX
Title
Junos OS: EX4300-MP/EX4600/QFX5K Series: High CPU load due to receipt of specific layer 2 frames when deployed in a Virtual Chassis configuration
Summary
On Juniper Networks EX4300-MP Series, EX4600 Series and QFX5K Series deployed in a Virtual Chassis configuration, receipt of a stream of specific layer 2 frames can cause high CPU load, which could lead to traffic interruption. This issue does not occur when the device is deployed in Stand Alone configuration. The offending layer 2 frame packets can originate only from within the broadcast domain where the device is connected. This issue affects Juniper Networks Junos OS on EX4300-MP Series, EX4600 Series and QFX5K Series: 17.3 versions prior to 17.3R3-S9; 17.4 versions prior to 17.4R2-S11, 17.4R3-S2, 17.4R3-S3; 18.1 versions prior to 18.1R3-S11; 18.2 versions prior to 18.2R3-S5; 18.3 versions prior to 18.3R2-S4, 18.3R3-S3; 18.4 versions prior to 18.4R2-S5, 18.4R3-S4; 19.1 versions prior to 19.1R3-S2; 19.2 versions prior to 19.2R1-S5, 19.2R3; 19.3 versions prior to 19.3R2-S4, 19.3R3; 19.4 versions prior to 19.4R1-S3, 19.4R2-S1, 19.4R3; 20.1 versions prior to 20.1R1-S3, 20.1R2.
Severity
6.5 (Medium)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://kb.juniper.net/JSA11086 | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Juniper Networks | Junos OS |
Affected:
17.3 , < 17.3R3-S9
(custom)
Affected: 17.4 , < 17.4R2-S11, 17.4R3-S2, 17.4R3-S3 (custom) Affected: 18.1 , < 18.1R3-S11 (custom) Affected: 18.2 , < 18.2R3-S5 (custom) Affected: 18.3 , < 18.3R2-S4, 18.3R3-S3 (custom) Affected: 18.4 , < 18.4R2-S5, 18.4R3-S4 (custom) Affected: 19.1 , < 19.1R3-S2 (custom) Affected: 19.2 , < 19.2R1-S5, 19.2R3 (custom) Affected: 19.3 , < 19.3R2-S4, 19.3R3 (custom) Affected: 19.4 , < 19.4R1-S3, 19.4R2-S1, 19.4R3 (custom) Affected: 20.1 , < 20.1R1-S3, 20.1R2 (custom) |
guessed |
Date Public
2020-10-14 00:00
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{
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{
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}
],
"negate": false,
"operator": "OR"
},
{
"cpeMatch": [
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "On Juniper Networks EX4300-MP Series, EX4600 Series and QFX5K Series deployed in a Virtual Chassis configuration, receipt of a stream of specific layer 2 frames can cause high CPU load, which could lead to traffic interruption. This issue does not occur when the device is deployed in Stand Alone configuration. The offending layer 2 frame packets can originate only from within the broadcast domain where the device is connected. This issue affects Juniper Networks Junos OS on EX4300-MP Series, EX4600 Series and QFX5K Series: 17.3 versions prior to 17.3R3-S9; 17.4 versions prior to 17.4R2-S11, 17.4R3-S2, 17.4R3-S3; 18.1 versions prior to 18.1R3-S11; 18.2 versions prior to 18.2R3-S5; 18.3 versions prior to 18.3R2-S4, 18.3R3-S3; 18.4 versions prior to 18.4R2-S5, 18.4R3-S4; 19.1 versions prior to 19.1R3-S2; 19.2 versions prior to 19.2R1-S5, 19.2R3; 19.3 versions prior to 19.3R2-S4, 19.3R3; 19.4 versions prior to 19.4R1-S3, 19.4R2-S1, 19.4R3; 20.1 versions prior to 20.1R1-S3, 20.1R2."
},
{
"lang": "es",
"value": "En Juniper Networks EX4300-MP Series, EX4600 Series y QFX5K Series implementadas en una configuraci\u00f3n de Chasis Virtual, la recepci\u00f3n de un flujo de tramas de capa 2 espec\u00edficas puede causar una alta carga de CPU, lo que podr\u00eda conllevar a una interrupci\u00f3n del tr\u00e1fico.\u0026#xa0;Este problema no ocurre cuando el dispositivo es implementado en la configuraci\u00f3n Stand Alone.\u0026#xa0;Los paquetes de tramas de capa 2 infractores pueden originarse solo desde dentro del dominio de difusi\u00f3n donde est\u00e1 conectado el dispositivo.\u0026#xa0;Este problema afecta a Juniper Networks Junos OS en EX4300-MP Series, EX4600 Series y QFX5K Series: versiones 17.3 anteriores a 17.3R3-S9;\u0026#xa0;versiones 17.4 anteriores a 17.4R2-S11, 17.4R3-S2, 17.4R3-S3;\u0026#xa0;versiones 18.1 anteriores a 18.1R3-S11;\u0026#xa0;versiones 18.2 anteriores a 18.2R3-S5;\u0026#xa0;versiones 18.3 anteriores a 18.3R2-S4, 18.3R3-S3;\u0026#xa0;versiones 18.4 anteriores a 18.4R2-S5, 18.4R3-S4;\u0026#xa0;versiones 19.1 anteriores a 19.1R3-S2;\u0026#xa0;versiones 19.2 anteriores a 19.2R1-S5, 19.2R3;\u0026#xa0;versiones 19.\u0026#xa0;3 anteriores a 19.3R2-S4, 19.3R3;\u0026#xa0;versiones 19.4 anteriores a 19.4R1-S3, 19.4R2-S1, 19.4R3;\u0026#xa0;versiones 20.1 anteriores a 20.1R1-S3, 20.1R2"
}
],
"id": "CVE-2020-1689",
"lastModified": "2024-11-21T05:11:10.317",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "ADJACENT_NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 3.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:A/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 6.5,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
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}
],
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{
"cvssData": {
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"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
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"source": "sirt@juniper.net",
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}
]
},
"published": "2020-10-16T21:15:14.490",
"references": [
{
"source": "sirt@juniper.net",
"tags": [
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],
"url": "https://kb.juniper.net/JSA11086"
},
{
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],
"url": "https://kb.juniper.net/JSA11086"
}
],
"sourceIdentifier": "sirt@juniper.net",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
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"value": "CWE-400"
}
],
"source": "sirt@juniper.net",
"type": "Secondary"
},
{
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{
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"value": "NVD-CWE-noinfo"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.