CVE-2024-8698:详情

CVE-2024-8698

7.7
/
高危
82.22%V4
2024-09-19
15h48 +00:00
A02-Cryptographic Failures
Network
2026-08-04
08h05 +00:00
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CVE 描述

Keycloak-saml-core: improper verification of saml responses leading to privilege escalation in keycloak

A flaw exists in the SAML signature validation method within the Keycloak XMLSignatureUtil class. The method incorrectly determines whether a SAML signature is for the full document or only for specific assertions based on the position of the signature in the XML document, rather than the Reference element used to specify the signed element. This flaw allows attackers to create crafted responses that can bypass the validation, potentially leading to privilege escalation or impersonation attacks.

CVE 信息

相关弱点

CWE-ID 弱点名称 来源
CWE-347 Improper Verification of Cryptographic Signature
The product does not verify, or incorrectly verifies, the cryptographic signature for data.

指标

指标 评分 严重程度 CVSS 向量 来源
V3.1 7.7 HIGH CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:L/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.

High

successful attack depends on conditions beyond the attacker's control. That is, a successful attack cannot be accomplished at will, but requires the attacker to invest in some measurable amount of effort in preparation or execution against the vulnerable component before a successful attack can be expected.

Privileges Required

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

Low

The attacker requires privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges has the ability to access only non-sensitive resources.

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.

High

There is a total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server.

Integrity Impact

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

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 on 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 是一种预测漏洞被利用可能性的评分模型。

EPSS 评分

EPSS 模型生成一个介于 0 到 1(即 0% 到 100%)之间的概率评分。评分越高,漏洞被利用的可能性越大。

EPSS 百分位

百分位用于根据 EPSS 评分对 CVE 进行排名。例如,EPSS 百分位为第 95 的 CVE,其被利用的可能性高于 95% 的其他 CVE。因此,百分位可用于比较不同 CVE 的 EPSS 评分。

参考资料

https://access.redhat.com/errata/RHSA-2024:6878
Tags : vendor-advisory, x_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2024:6879
Tags : vendor-advisory, x_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2024:6880
Tags : vendor-advisory, x_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2024:6882
Tags : vendor-advisory, x_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2024:6886
Tags : vendor-advisory, x_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2024:6887
Tags : vendor-advisory, x_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2024:6888
Tags : vendor-advisory, x_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2024:6889
Tags : vendor-advisory, x_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2024:6890
Tags : vendor-advisory, x_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2024:8823
Tags : vendor-advisory, x_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2024:8824
Tags : vendor-advisory, x_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2024:8826
Tags : vendor-advisory, x_refsource_REDHAT
https://access.redhat.com/security/cve/CVE-2024-8698
Tags : vdb-entry, x_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2311641
Tags : issue-tracking, x_refsource_REDHAT