CVE-2021-0230 (GCVE-0-2021-0230)
Vulnerability from cvelistv5 – Published: 2021-04-22 19:36 – Updated: 2024-09-16 18:18
VLAI
EPSS
VEX
Title
Junos OS: SRX Series: Memory leak when querying Aggregated Ethernet (AE) interface statistics
Summary
On Juniper Networks SRX Series devices with link aggregation (lag) configured, executing any operation that fetches Aggregated Ethernet (AE) interface statistics, including but not limited to SNMP GET requests, causes a slow kernel memory leak. If all the available memory is consumed, the traffic will be impacted and a reboot might be required. The following log can be seen if this issue happens. /kernel: rt_pfe_veto: Memory over consumed. Op 1 err 12, rtsm_id 0:-1, msg type 72 /kernel: rt_pfe_veto: free kmem_map memory = (20770816) curproc = kmd An administrator can use the following CLI command to monitor the status of memory consumption (ifstat bucket): user@device > show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Limit Size(s) ifstat 2588977 162708K - 19633958 <<<< user@device > show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Limit Size(s) ifstat 3021629 189749K - 22914415 <<<< This issue affects Juniper Networks Junos OS on SRX Series: 17.1 versions 17.1R3 and above prior to 17.3R3-S11; 17.4 versions prior to 17.4R3-S5; 18.2 versions prior to 18.2R3-S7, 18.2R3-S8; 18.3 versions prior to 18.3R3-S4; 18.4 versions prior to 18.4R2-S7, 18.4R3-S6; 19.1 versions prior to 19.1R3-S4; 19.2 versions prior to 19.2R1-S6; 19.3 versions prior to 19.3R3-S1; 19.4 versions prior to 19.4R3-S1; 20.1 versions prior to 20.1R2, 20.1R3; 20.2 versions prior to 20.2R2-S2, 20.2R3; 20.3 versions prior to 20.3R1-S2, 20.3R2. This issue does not affect Juniper Networks Junos OS prior to 17.1R3.
Severity
7.5 (High)
CWE
- CWE-400 - Uncontrolled Resource Consumption
- Denial of Service (DoS)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://kb.juniper.net/JSA11125 | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Juniper Networks | Junos OS |
Affected:
17.1R3 , < 17.1*
(custom)
Affected: 17.3 , < 17.3R3-S11 (custom) Affected: 17.4 , < 17.4R3-S5 (custom) Affected: 18.2 , < 18.2R3-S7, 18.2R3-S8 (custom) Affected: 18.3 , < 18.3R3-S4 (custom) Affected: 18.4 , < 18.4R2-S7, 18.4R3-S6 (custom) Affected: 19.1 , < 19.1R3-S4 (custom) Affected: 19.2 , < 19.2R1-S6 (custom) Affected: 19.3 , < 19.3R3-S1 (custom) Affected: 19.4 , < 19.4R3-S1 (custom) Affected: 20.1 , < 20.1R2, 20.1R3 (custom) Affected: 20.2 , < 20.2R2-S2, 20.2R3 (custom) Affected: 20.3 , < 20.3R1-S2, 20.3R2 (custom) |
guessed | |
| Juniper Networks | Junos OS |
Unaffected:
unspecified , < 17.1R3
(custom)
|
guessed |
Date Public
2021-04-14 00:00
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"value": "On Juniper Networks SRX Series devices with link aggregation (lag) configured, executing any operation that fetches Aggregated Ethernet (AE) interface statistics, including but not limited to SNMP GET requests, causes a slow kernel memory leak. If all the available memory is consumed, the traffic will be impacted and a reboot might be required. The following log can be seen if this issue happens. /kernel: rt_pfe_veto: Memory over consumed. Op 1 err 12, rtsm_id 0:-1, msg type 72 /kernel: rt_pfe_veto: free kmem_map memory = (20770816) curproc = kmd An administrator can use the following CLI command to monitor the status of memory consumption (ifstat bucket): user@device \u003e show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Limit Size(s) ifstat 2588977 162708K - 19633958 \u003c\u003c\u003c\u003c user@device \u003e show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Limit Size(s) ifstat 3021629 189749K - 22914415 \u003c\u003c\u003c\u003c This issue affects Juniper Networks Junos OS on SRX Series: 17.1 versions 17.1R3 and above prior to 17.3R3-S11; 17.4 versions prior to 17.4R3-S5; 18.2 versions prior to 18.2R3-S7, 18.2R3-S8; 18.3 versions prior to 18.3R3-S4; 18.4 versions prior to 18.4R2-S7, 18.4R3-S6; 19.1 versions prior to 19.1R3-S4; 19.2 versions prior to 19.2R1-S6; 19.3 versions prior to 19.3R3-S1; 19.4 versions prior to 19.4R3-S1; 20.1 versions prior to 20.1R2, 20.1R3; 20.2 versions prior to 20.2R2-S2, 20.2R3; 20.3 versions prior to 20.3R1-S2, 20.3R2. This issue does not affect Juniper Networks Junos OS prior to 17.1R3."
},
{
"lang": "es",
"value": "En los dispositivos de la serie SRX de Juniper Networks con agregaci\u00f3n de enlaces (lag) configurada, la ejecuci\u00f3n de cualquier operaci\u00f3n que recupere las estad\u00edsticas de la interfaz de Ethernet agregada (AE), incluidas, entre otras, las solicitudes GET de SNMP, provoca una fuga de memoria lenta del n\u00facleo. Si se consume toda la memoria disponible, el tr\u00e1fico se ver\u00e1 afectado y podr\u00eda ser necesario un reinicio. El siguiente registro se puede ver si este problema ocurre. /kernel: rt_pfe_veto: Memoria sobre consumida. Op 1 err 12, rtsm_id 0:-1, msg type 72 /kernel: rt_pfe_veto: free kmem_map memory = (20770816) curproc = kmd Un administrador puede utilizar el siguiente comando CLI para monitorizar el estado del consumo de memoria (ifstat bucket): user@device \u0026gt; show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Size(s) ifstat 2588977 162708K - 19633958 \u0026lt;\u0026lt;\u0026lt;\u0026lt; user@device \u0026gt; show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Size(s) ifstat 3021629 189749K - 22914415 \u0026lt;\u0026lt;\u0026lt;\u0026lt; Este problema afecta a Juniper Networks Junos OS en la serie SRX: 17.1 versiones 17.1R3 y superiores anteriores a 17.3R3-S11; 17.4 versiones anteriores a 17.4R3-S5; 18.2 versiones anteriores a 18.2R3-S7, 18.2R3-S8; 18.3 versiones anteriores a 18.3R3-S4; 18.4 versiones anteriores a 18.4R2-S7, 18.4R3-S6; 19.1 versiones anteriores a 19. 1R3-S4; 19.2 versiones anteriores a 19.2R1-S6; 19.3 versiones anteriores a 19.3R3-S1; 19.4 versiones anteriores a 19.4R3-S1; 20.1 versiones anteriores a 20.1R2, 20.1R3; 20.2 versiones anteriores a 20.2R2-S2, 20.2R3; 20.3 versiones anteriores a 20.3R1-S2, 20.3R2. Este problema no afecta al sistema operativo Junos de Juniper Networks anterior a la versi\u00f3n 17.1R3"
}
],
"id": "CVE-2021-0230",
"lastModified": "2024-11-21T05:42:15.497",
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"published": "2021-04-22T20:15:08.640",
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"descriptions": [
{
"lang": "en",
"value": "On Juniper Networks SRX Series devices with link aggregation (lag) configured, executing any operation that fetches Aggregated Ethernet (AE) interface statistics, including but not limited to SNMP GET requests, causes a slow kernel memory leak. If all the available memory is consumed, the traffic will be impacted and a reboot might be required. The following log can be seen if this issue happens. /kernel: rt_pfe_veto: Memory over consumed. Op 1 err 12, rtsm_id 0:-1, msg type 72 /kernel: rt_pfe_veto: free kmem_map memory = (20770816) curproc = kmd An administrator can use the following CLI command to monitor the status of memory consumption (ifstat bucket): user@device \u003e show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Limit Size(s) ifstat 2588977 162708K - 19633958 \u003c\u003c\u003c\u003c user@device \u003e show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Limit Size(s) ifstat 3021629 189749K - 22914415 \u003c\u003c\u003c\u003c This issue affects Juniper Networks Junos OS on SRX Series: 17.1 versions 17.1R3 and above prior to 17.3R3-S11; 17.4 versions prior to 17.4R3-S5; 18.2 versions prior to 18.2R3-S7, 18.2R3-S8; 18.3 versions prior to 18.3R3-S4; 18.4 versions prior to 18.4R2-S7, 18.4R3-S6; 19.1 versions prior to 19.1R3-S4; 19.2 versions prior to 19.2R1-S6; 19.3 versions prior to 19.3R3-S1; 19.4 versions prior to 19.4R3-S1; 20.1 versions prior to 20.1R2, 20.1R3; 20.2 versions prior to 20.2R2-S2, 20.2R3; 20.3 versions prior to 20.3R1-S2, 20.3R2. This issue does not affect Juniper Networks Junos OS prior to 17.1R3."
},
{
"lang": "es",
"value": "En los dispositivos de la serie SRX de Juniper Networks con agregaci\u00f3n de enlaces (lag) configurada, la ejecuci\u00f3n de cualquier operaci\u00f3n que recupere las estad\u00edsticas de la interfaz de Ethernet agregada (AE), incluidas, entre otras, las solicitudes GET de SNMP, provoca una fuga de memoria lenta del n\u00facleo. Si se consume toda la memoria disponible, el tr\u00e1fico se ver\u00e1 afectado y podr\u00eda ser necesario un reinicio. El siguiente registro se puede ver si este problema ocurre. /kernel: rt_pfe_veto: Memoria sobre consumida. Op 1 err 12, rtsm_id 0:-1, msg type 72 /kernel: rt_pfe_veto: free kmem_map memory = (20770816) curproc = kmd Un administrador puede utilizar el siguiente comando CLI para monitorizar el estado del consumo de memoria (ifstat bucket): user@device \u0026gt; show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Size(s) ifstat 2588977 162708K - 19633958 \u0026lt;\u0026lt;\u0026lt;\u0026lt; user@device \u0026gt; show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Size(s) ifstat 3021629 189749K - 22914415 \u0026lt;\u0026lt;\u0026lt;\u0026lt; Este problema afecta a Juniper Networks Junos OS en la serie SRX: 17.1 versiones 17.1R3 y superiores anteriores a 17.3R3-S11; 17.4 versiones anteriores a 17.4R3-S5; 18.2 versiones anteriores a 18.2R3-S7, 18.2R3-S8; 18.3 versiones anteriores a 18.3R3-S4; 18.4 versiones anteriores a 18.4R2-S7, 18.4R3-S6; 19.1 versiones anteriores a 19. 1R3-S4; 19.2 versiones anteriores a 19.2R1-S6; 19.3 versiones anteriores a 19.3R3-S1; 19.4 versiones anteriores a 19.4R3-S1; 20.1 versiones anteriores a 20.1R2, 20.1R3; 20.2 versiones anteriores a 20.2R2-S2, 20.2R3; 20.3 versiones anteriores a 20.3R1-S2, 20.3R2. Este problema no afecta al sistema operativo Junos de Juniper Networks anterior a la versi\u00f3n 17.1R3"
}
],
"id": "CVE-2021-0230",
"lastModified": "2024-11-21T05:42:15.497",
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"published": "2021-04-22T20:15:08.640",
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"tags": [
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"current_release_date": "2026-03-27T15:15:16+00:00",
"cve": "CVE-2021-0230",
"id": "CVE-2021-0230",
"initial_release_date": "2021-04-14T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "Junos OS: SRX Series: Memory leak when querying Aggregated Ethernet (AE) interface statistics",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-0230.json",
"version": "3"
}
}
}
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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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