CVE-2024-47489 : Détail

CVE-2024-47489

6.9
/
Moyen
0.07%V4
Network
2024-10-11
15h22 +00:00
2024-10-11
18h00 +00:00
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Descriptions du CVE

Junos OS Evolved: ACX Series: Receipt of specific transit protocol packets is incorrectly processed by the RE

An Improper Handling of Exceptional Conditions vulnerability in the Packet Forwarding Engine (pfe) of the Juniper Networks Junos OS Evolved on ACX Series devices allows an unauthenticated, network based attacker sending specific transit protocol traffic to cause a partial Denial of Service (DoS) to downstream devices. Receipt of specific transit protocol packets is incorrectly processed by the Routing Engine (RE), filling up the DDoS protection queue which is shared between routing protocols. This influx of transit protocol packets causes DDoS protection violations, resulting in protocol flaps which can affect connectivity to networking devices. This issue affects both IPv4 and IPv6. This issue does not require any specific routing protocol to be configured or enabled. The following commands can be used to monitor the DDoS protection queue:        labuser@re0> show evo-pfemand host pkt-stats     labuser@re0> show host-path ddos all-policers This issue affects Junos OS Evolved:  * All versions before 21.4R3-S8-EVO,  * from 22.2 before 22.2R3-S4-EVO,  * from 22.3 before 22.3R3-S4-EVO,  * from 22.4 before 22.4R3-S3-EVO,  * from 23.2 before 23.2R2-EVO,  * from 23.4 before 23.4R1-S1-EVO, 23.4R2-EVO,  * from 24.2 before 24.2R2-EVO.

Solutions du CVE

The following software releases have been updated to resolve this specific issue: Junos OS Evolved: 21.4R3-S8-EVO, 22.2R3-S4-EVO, 22.3R3-S4-EVO*, 22.4R3-S3-EVO, 23.2R2-EVO, 23.4R1-S1-EVO, 23.4R2-EVO, 24.2R2-EVO*, 24.4R1-EVO*, and all subsequent releases. * Future Release

Informations du CVE

Faiblesses connexes

CWE-ID Nom de la faiblesse Source
CWE-755 Improper Handling of Exceptional Conditions
The product does not handle or incorrectly handles an exceptional condition.

Métriques

Métriques Score Gravité CVSS Vecteur Source
V4.0 6.9 MEDIUM CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:L/R:A

Base: Exploitabilty Metrics

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

Attack Vector

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

Network

The vulnerable system 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 captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit.

Low

The attacker must take no measurable action to exploit the vulnerability. The attack requires no target-specific circumvention to exploit the vulnerability. An attacker can expect repeatable success against the vulnerable system.

Attack Requirements

This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack.

None

The successful attack does not depend on the deployment and execution conditions of the vulnerable system. The attacker can expect to be able to reach the vulnerability and execute the exploit under all or most instances of the vulnerability.

Privileges Required

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

None

The attacker is unauthenticated 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 system.

None

The vulnerable system can be exploited without interaction from any human user, other than the attacker. Examples include: a remote attacker is able to send packets to a target system a locally authenticated attacker executes code to elevate privileges

Base: Impact Metrics

The Impact metrics capture the effects of a successfully exploited vulnerability. 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 managed by the system due to a successfully exploited vulnerability.

None

There is no loss of confidentiality within the Vulnerable System.

Integrity Impact

This metric measures the impact to integrity of a successfully exploited vulnerability.

Low

Modification of data is possible, but the attacker does not have control over the consequence of a modification, or the amount of modification is limited. The data modification does not have a direct, serious impact to the Vulnerable System.

Availability Impact

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

None

There is no impact to availability within the Vulnerable System.

Sub Confidentiality Impact

Negligible

There is no loss of confidentiality within the Subsequent System or all confidentiality impact is constrained to the Vulnerable System.

Sub Integrity Impact

None

There is no loss of integrity within the Subsequent System or all integrity impact is constrained to the Vulnerable System.

Sub Availability Impact

Low

Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the Subsequent System are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the Subsequent System.

Threat Metrics

The Threat metrics measure the current state of exploit techniques or code availability for a vulnerability.

Environmental Metrics

These metrics enable the consumer analyst to customize the resulting score depending on the importance of the affected IT asset to a user’s organization, measured in terms of complementary/alternative security controls in place, Confidentiality, Integrity, and Availability. The metrics are the modified equivalent of Base metrics and are assigned values based on the system placement within organizational infrastructure.

Supplemental Metrics

Supplemental metric group provides new metrics that describe and measure additional extrinsic attributes of a vulnerability. While the assessment of Supplemental metrics is provisioned by the provider, the usage and response plan of each metric within the Supplemental metric group is determined by the consumer.

Recovery

Recovery describes the resilience of a system to recover services, in terms of performance and availability, after an attack has been performed.

Automatic

The system recovers services automatically after an attack has been performed.

V3.1 5.8 MEDIUM CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:L

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.

Changed

An exploited vulnerability can affect resources beyond the security scope managed by the security authority of the vulnerable component. In this case, the vulnerable component and the impacted component are different and managed by different security authorities.

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.

Low

Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the impacted component are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the impacted component.

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.

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.

Products Mentioned

Configuraton 0

Juniper>>Junos_os_evolved >> Version To (excluding) 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 21.4

Juniper>>Junos_os_evolved >> Version 22.2

Juniper>>Junos_os_evolved >> Version 22.2

Juniper>>Junos_os_evolved >> Version 22.2

Juniper>>Junos_os_evolved >> Version 22.2

Juniper>>Junos_os_evolved >> Version 22.2

Juniper>>Junos_os_evolved >> Version 22.2

Juniper>>Junos_os_evolved >> Version 22.2

Juniper>>Junos_os_evolved >> Version 22.2

Juniper>>Junos_os_evolved >> Version 22.2

Juniper>>Junos_os_evolved >> Version 22.2

Juniper>>Junos_os_evolved >> Version 22.2

Juniper>>Junos_os_evolved >> Version 22.3

Juniper>>Junos_os_evolved >> Version 22.3

Juniper>>Junos_os_evolved >> Version 22.3

Juniper>>Junos_os_evolved >> Version 22.3

Juniper>>Junos_os_evolved >> Version 22.3

Juniper>>Junos_os_evolved >> Version 22.3

Juniper>>Junos_os_evolved >> Version 22.3

Juniper>>Junos_os_evolved >> Version 22.3

Juniper>>Junos_os_evolved >> Version 22.3

Juniper>>Junos_os_evolved >> Version 22.3

Juniper>>Junos_os_evolved >> Version 22.3

Juniper>>Junos_os_evolved >> Version 22.4

Juniper>>Junos_os_evolved >> Version 22.4

Juniper>>Junos_os_evolved >> Version 22.4

Juniper>>Junos_os_evolved >> Version 22.4

Juniper>>Junos_os_evolved >> Version 22.4

Juniper>>Junos_os_evolved >> Version 22.4

Juniper>>Junos_os_evolved >> Version 22.4

Juniper>>Junos_os_evolved >> Version 22.4

Juniper>>Junos_os_evolved >> Version 22.4

Juniper>>Junos_os_evolved >> Version 22.4

Juniper>>Junos_os_evolved >> Version 23.2

Juniper>>Junos_os_evolved >> Version 23.2

Juniper>>Junos_os_evolved >> Version 23.2

Juniper>>Junos_os_evolved >> Version 23.2

Juniper>>Junos_os_evolved >> Version 23.4

Juniper>>Junos_os_evolved >> Version 23.4

Juniper>>Junos_os_evolved >> Version 23.4

Juniper>>Junos_os_evolved >> Version 24.2

Juniper>>Junos_os_evolved >> Version 24.2

Juniper>>Junos_os_evolved >> Version 24.2

Juniper>>Acx5448 >> Version -

Juniper>>Acx5448-d >> Version -

Juniper>>Acx5448-m >> Version -

Juniper>>Acx7020 >> Version -

Juniper>>Acx7024 >> Version -

Juniper>>Acx7024x >> Version -

Juniper>>Acx710 >> Version -

Juniper>>Acx7100 >> Version -

Juniper>>Acx7300 >> Version -

Juniper>>Acx7509 >> Version -

Références