CVE-2023-22414

Score / Sévérité

6.5

MEDIUM

EPSS

0.05%V3

Vecteur

Adjacent

Publié

2023-01-11 23:00 +00:00

Dernière modif.

2024-08-02 10:07 +00:00

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Descriptions

Junos OS: PTX Series and QFX10000 Series: An FPC memory leak is observed when specific EVPN VXLAN Multicast packets are processed

A Missing Release of Memory after Effective Lifetime vulnerability in Flexible PIC Concentrator (FPC) of Juniper Networks Junos OS allows an adjacent, unauthenticated attacker from the same shared physical or logical network, to cause a heap memory leak and leading to FPC crash. On all Junos PTX Series and QFX10000 Series, when specific EVPN VXLAN Multicast packets are processed, an FPC heap memory leak is observed. The FPC memory usage can be monitored using the CLI command "show heap extensive". Following is an example output. ID Base Total(b) Free(b) Used(b) % Name Peak used % -- -------- --------- --------- --------- --- ----------- ----------- 0 37dcf000 3221225472 1694526368 1526699104 47 Kernel 47 1 17dcf000 1048576 1048576 0 0 TOE DMA 0 2 17ecf000 1048576 1048576 0 0 DMA 0 3 17fcf000 534773760 280968336 253805424 47 Packet DMA 47 This issue affects: Juniper Networks Junos OS PTX Series and QFX10000 Series 20.2 versions prior to 20.2R3-S6; 20.3 versions prior to 20.3R3-S6; 20.4 versions prior to 20.4R3-S4; 21.1 versions prior to 21.1R3-S3; 21.2 versions prior to 21.2R3-S1; 21.3 versions prior to 21.3R3; 21.4 versions prior to 21.4R3; 22.1 versions prior to 22.1R2; 22.2 versions prior to 22.2R2. This issue does not affect Juniper Networks Junos OS versions prior to 20.1R1 on PTX Series and QFX10000 Series.

Solutions

The following software releases have been updated to resolve this specific issue: 20.2R3-S6, 20.3R3-S6, 20.4R3-S4, 21.1R3-S3, 21.2R3-S1, 21.3R3, 21.4R3, 22.1R2, 22.2R2, 22.3R1, and all subsequent releases.

Informations

Faiblesses connexes

CWE-ID	Nom de la faiblesse	Source
CWE-401	Missing Release of Memory after Effective Lifetime The product does not sufficiently track and release allocated memory after it has been used, which slowly consumes remaining memory.

Metrics

Metric	Score	Sévérité	CVSS Vecteur	Source
V3.1	6.5	MEDIUM	CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H More informations 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. Adjacent The vulnerable component is bound to the network stack, but the attack is limited at the protocol level to a logically adjacent topology. This can mean an attack must be launched from the same shared physical (e.g., Bluetooth or IEEE 802.11) or logical (e.g., local IP subnet) network, or from within a secure or otherwise limited administrative domain (e.g., MPLS, secure VPN to an administrative network zone). 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.

EPSS

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

EPSS Score

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.

EPSS Percentile

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