CVE-2025-0122 : 상세 정보

CVE-2025-0122

5.1
/
보통
0.12%V4
2025-04-11
01h48 +00:00
Physical
2025-04-11
16h02 +00:00
특정 CVE 알림
특정 CVE의 변경 사항에 대한 정보를 받아보세요.
알림 관리

CVE 설명

Prisma SD-WAN: Denial of Service (DoS) Vulnerability Through Burst of Crafted Packets

A denial-of-service (DoS) vulnerability in Palo Alto Networks Prisma® SD-WAN ION devices enables an unauthenticated attacker in a network adjacent to a Prisma SD-WAN ION device to disrupt the packet processing capabilities of the device by sending a burst of crafted packets to that device.

CVE 해결 방법

VersionSuggested SolutionPrisma SD-WAN 6.5Upgrade to Prisma SD-WAN 6.5.1 or laterPrisma SD-WAN 6.4 Upgrade to Prisma SD-WAN 6.4.2 or laterPrisma SD-WAN 6.3Upgrade to Prisma SD-WAN 6.3.4 or laterPrisma SD-WAN 6.2Upgrade to Prisma SD-WAN 6.3.4 or laterPrisma SD-WAN 6.1Upgrade to Prisma SD-WAN 6.1.10 or later

CVE 정보

관련 약점

CWE-ID 약점 이름 출처
CWE-770 Allocation of Resources Without Limits or Throttling
The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated.

메트릭

메트릭 점수 심각도 CVSS 벡터 출처
V4.0 5.1 MEDIUM CVSS:4.0/AV:P/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/AU:Y/R:A/V:D/RE:L/U:Amber

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.

Physical

The attack requires the attacker to physically touch or manipulate the vulnerable system. Physical interaction may be brief (e.g., evil maid attack1) or persistent. An example of such an attack is a cold boot attack in which an attacker gains access to disk encryption keys after physically accessing the target system. Other examples include peripheral attacks via FireWire/USB Direct Memory Access (DMA).

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.

None

There is no loss of integrity within the Vulnerable System.

Availability Impact

This metric measures the impact to the availability of the impacted system 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 Vulnerable System; 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 Vulnerable System (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).

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

None

There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable 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.

Automatable

The “Automatable” metric captures the answer to the question ”Can an attacker automate exploitation events for this vulnerability across multiple targets?” based on steps 1-4 of the kill chain2 [Hutchins et al., 2011]. These steps are reconnaissance, weaponization, delivery, and exploitation. If evaluated, the metric can take the values no or yes.

Yes

Attackers can reliably automate all 4 steps of the kill chain. These steps are reconnaissance, weaponization, delivery, and exploitation (e.g., the vulnerability is “wormable”).

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.

Value Density

Value Density describes the resources that the attacker will gain control over with a single exploitation event. It has two possible values, diffuse and concentrated:

Diffuse

The vulnerable system has limited resources. That is, the resources that the attacker will gain control over with a single exploitation event are relatively small. An example of Diffuse (think: limited) Value Density would be an attack on a single email client vulnerability.

Vulnerability Response Effort

The intention of the Vulnerability Response Effort metric is to provide supplemental information on how difficult it is for consumers to provide an initial response to the impact of vulnerabilities for deployed products and services in their infrastructure.

Low

The effort required to respond to a vulnerability is low/trivial. Examples include: communication on better documentation, configuration workarounds, or guidance from the vendor that does not require an immediate update, upgrade, or replacement by the consuming entity, such as firewall filter configuration.

Provider Urgency

Many vendors currently provide supplemental severity ratings to consumers via product security advisories.

Amber

Provider has assessed the impact of this vulnerability as having a moderate urgency.

EPSS

EPSS는 취약점이 악용될 가능성을 예측하는 점수 모델입니다.

EPSS 점수

EPSS 모델은 0과 1(0~100%) 사이의 확률 점수를 생성합니다. 점수가 높을수록 취약점이 악용될 가능성이 높습니다.

EPSS 백분위수

백분위수는 EPSS 점수에 따라 CVE의 순위를 매기는 데 사용됩니다. 예를 들어 EPSS 점수 기준 95번째 백분위수의 CVE는 다른 CVE의 95%보다 악용될 가능성이 높습니다.

참고 자료