CVE-2020-1679 : Détail

CVE-2020-1679

7.5
/
Haute
A03-Injection
0.11%V3
Network
2020-10-16
20h31 +00:00
2024-09-16
19h19 +00:00
CVE.org
NVD
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Descriptions du CVE

Junos OS: PTX/QFX Series: Kernel Routing Table (KRT) queue stuck after packet sampling a malformed packet when the tunnel-observation mpls-over-udp configuration is enabled.

On Juniper Networks PTX and QFX Series devices with packet sampling configured using tunnel-observation mpls-over-udp, sampling of a malformed packet can cause the Kernel Routing Table (KRT) queue to become stuck. KRT is the module within the Routing Process Daemon (RPD) that synchronized the routing tables with the forwarding tables in the kernel. This table is then synchronized to the Packet Forwarding Engine (PFE) via the KRT queue. Thus, when KRT queue become stuck, it can lead to unexpected packet forwarding issues. An administrator can monitor the following command to check if there is the KRT queue is stuck: user@device > show krt state ... Number of async queue entries: 65007 <--- this value keep on increasing. When this issue occurs, the following message might appear in the /var/log/messages: DATE DEVICE kernel: %KERN-3: rt_pfe_veto: Too many delayed route/nexthop unrefs. Op 2 err 55, rtsm_id 5:-1, msg type 2 DATE DEVICE kernel: %KERN-3: rt_pfe_veto: Memory usage of M_RTNEXTHOP type = (0) Max size possible for M_RTNEXTHOP type = (7297134592) Current delayed unref = (60000), Current unique delayed unref = (18420), Max delayed unref on this platform = (40000) Current delayed weight unref = (60000) Max delayed weight unref on this platform= (400000) curproc = rpd This issue affects Juniper Networks Junos OS on PTX/QFX Series: 17.2X75 versions prior to 17.2X75-D105; 18.1 versions prior to 18.1R3-S11; 18.2 versions prior to 18.2R3-S5; 18.2X75 versions prior to 18.2X75-D420, 18.2X75-D53, 18.2X75-D65; 18.3 versions prior to 18.3R2-S4, 18.3R3-S3; 18.4 versions prior to 18.4R1-S7, 18.4R2-S5, 18.4R3-S4; 19.1 versions prior to 19.1R2-S2, 19.1R3-S2; 19.2 versions prior to 19.2R1-S5, 19.2R3; 19.3 versions prior to 19.3R2-S3, 19.3R3; 19.4 versions prior to 19.4R1-S2, 19.4R2-S1, 19.4R3; 20.1 versions prior to 20.1R1-S2, 20.1R2. This issue does not affect Juniper Networks Junos OS prior to 18.1R1.

Solutions du CVE

The following software releases have been updated to resolve this specific issue: Junos OS 17.2X75-D105, 18.1R3-S11, 18.2R3-S5, 18.2X75-D420, 18.2X75-D53, 18.2X75-D65, 18.3R2-S4, 18.3R3-S3, 18.4R1-S7, 18.4R2-S5, 18.4R3-S4, 19.1R2-S2, 19.1R3-S2, 19.2R1-S5, 19.2R3, 19.3R2-S3, 19.3R3, 19.4R1-S2, 19.4R2-S1, 19.4R3, 20.1R1-S2, 20.1R2, 20.2R1, 20.3X75-D10, and all subsequent releases.

Informations du CVE

Faiblesses connexes

CWE-ID Nom de la faiblesse Source
CWE-20 Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
CWE Other No informations.

Métriques

Métriques Score Gravité CVSS Vecteur Source
V3.1 7.5 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Base: Exploitabilty Metrics

The Exploitability metrics reflect the characteristics of the thing that is vulnerable, which we refer to formally as the vulnerable component.

Attack Vector

This metric reflects the context by which vulnerability exploitation is possible.

Network

The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).

Attack Complexity

This metric describes the conditions beyond the attacker’s control that must exist in order to exploit the vulnerability.

Low

Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success when attacking the vulnerable component.

Privileges Required

This metric describes the level of privileges an attacker must possess before successfully exploiting the vulnerability.

None

The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.

User Interaction

This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable component.

None

The vulnerable system can be exploited without interaction from any user.

Base: Scope Metrics

The Scope metric captures whether a vulnerability in one vulnerable component impacts resources in components beyond its security scope.

Scope

Formally, a security authority is a mechanism (e.g., an application, an operating system, firmware, a sandbox environment) that defines and enforces access control in terms of how certain subjects/actors (e.g., human users, processes) can access certain restricted objects/resources (e.g., files, CPU, memory) in a controlled manner. All the subjects and objects under the jurisdiction of a single security authority are considered to be under one security scope. If a vulnerability in a vulnerable component can affect a component which is in a different security scope than the vulnerable component, a Scope change occurs. Intuitively, whenever the impact of a vulnerability breaches a security/trust boundary and impacts components outside the security scope in which vulnerable component resides, a Scope change occurs.

Unchanged

An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.

Base: Impact Metrics

The Impact metrics capture the effects of a successfully exploited vulnerability on the component that suffers the worst outcome that is most directly and predictably associated with the attack. Analysts should constrain impacts to a reasonable, final outcome which they are confident an attacker is able to achieve.

Confidentiality Impact

This metric measures the impact to the confidentiality of the information resources managed by a software component due to a successfully exploited vulnerability.

None

There is no loss of confidentiality within the impacted component.

Integrity Impact

This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information.

None

There is no loss of integrity within the impacted component.

Availability Impact

This metric measures the impact to the availability of the impacted component resulting from a successfully exploited vulnerability.

High

There is a total loss of availability, resulting in the attacker being able to fully deny access to resources in the impacted component; this loss is either sustained (while the attacker continues to deliver the attack) or persistent (the condition persists even after the attack has completed). Alternatively, the attacker has the ability to deny some availability, but the loss of availability presents a direct, serious consequence to the impacted component (e.g., the attacker cannot disrupt existing connections, but can prevent new connections; the attacker can repeatedly exploit a vulnerability that, in each instance of a successful attack, leaks a only small amount of memory, but after repeated exploitation causes a service to become completely unavailable).

Temporal Metrics

The Temporal metrics measure the current state of exploit techniques or code availability, the existence of any patches or workarounds, or the confidence in the description of a vulnerability.

Environmental Metrics

These metrics enable the analyst to customize the CVSS score depending on the importance of the affected IT asset to a user’s organization, measured in terms of Confidentiality, Integrity, and Availability.
V2 4.3 AV:N/AC:M/Au:N/C:N/I:N/A:P [email protected]

EPSS

EPSS est un modèle de notation qui prédit la probabilité qu'une vulnérabilité soit exploitée.

Score EPSS

Le modèle EPSS produit un score de probabilité compris entre 0 et 1 (0 et 100 %). Plus la note est élevée, plus la probabilité qu'une vulnérabilité soit exploitée est grande.

Percentile EPSS

Le percentile est utilisé pour classer les CVE en fonction de leur score EPSS. Par exemple, une CVE dans le 95e percentile selon son score EPSS est plus susceptible d'être exploitée que 95 % des autres CVE. Ainsi, le percentile sert à comparer le score EPSS d'une CVE par rapport à d'autres CVE.
EPSS First.org

Products Mentioned

Configuraton 0

Juniper>>Junos >> Version 17.2x75

Juniper>>Junos >> Version 17.2x75

Juniper>>Junos >> Version 17.2x75

Juniper>>Junos >> Version 17.2x75

Juniper>>Junos >> Version 17.2x75

Juniper>>Junos >> Version 17.2x75

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.1

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2

Juniper>>Junos >> Version 18.2x75

Juniper>>Junos >> Version 18.2x75

Juniper>>Junos >> Version 18.2x75

Juniper>>Junos >> Version 18.2x75

Juniper>>Junos >> Version 18.2x75

Juniper>>Junos >> Version 18.2x75

Juniper>>Junos >> Version 18.2x75

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.3

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 18.4

Juniper>>Junos >> Version 19.1

Juniper>>Junos >> Version 19.1

Juniper>>Junos >> Version 19.1

Juniper>>Junos >> Version 19.1

Juniper>>Junos >> Version 19.1

Juniper>>Junos >> Version 19.1

Juniper>>Junos >> Version 19.1

Juniper>>Junos >> Version 19.1

Juniper>>Junos >> Version 19.1

Juniper>>Junos >> Version 19.1

Juniper>>Junos >> Version 19.2

Juniper>>Junos >> Version 19.2

Juniper>>Junos >> Version 19.2

Juniper>>Junos >> Version 19.2

Juniper>>Junos >> Version 19.2

Juniper>>Junos >> Version 19.2

Juniper>>Junos >> Version 19.3

Juniper>>Junos >> Version 19.3

Juniper>>Junos >> Version 19.3

Juniper>>Junos >> Version 19.3

Juniper>>Junos >> Version 19.3

Juniper>>Junos >> Version 19.3

Juniper>>Junos >> Version 19.4

Juniper>>Junos >> Version 19.4

Juniper>>Junos >> Version 19.4

Juniper>>Junos >> Version 20.1

Juniper>>Junos >> Version 20.1

Juniper>>Ptx1000 >> Version -

Juniper>>Ptx10001-36mr >> Version -

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Références

https://kb.juniper.net/JSA11076
Tags : x_refsource_CONFIRM