CVE-2024-6456 : 상세 정보

CVE-2024-6456

8.5
/
높음
0.27%V4
2024-08-15
20h10 +00:00
SQL Injection
A03-Injection
Network
2024-08-16
13h32 +00:00
특정 CVE 알림
특정 CVE의 변경 사항에 대한 정보를 받아보세요.
알림 관리

CVE 설명

SQL Injection vulnerability in AVEVA Historian Server

AVEVA Historian Server has a vulnerability, if exploited, could allow a malicious SQL command to execute under the privileges of an interactive Historian REST Interface user who had been socially engineered by a miscreant into opening a specially crafted URL.

CVE 해결 방법

AVEVA recommends that organizations evaluate the impact of this vulnerability based on their operational environment, architecture, and product implementation. Users with affected product versions should apply security updates as soon as possible. AVEVA recommends Historian is upgraded by AVEVA System Platform media: * (Recommended) All affected versions can be fixed by upgrading to AVEVA System Platform 2023 R2 P01 https://softwaresupportsp.aveva.com/#/producthub/details * (Alternative 1) Historian 2023 through 2023 P03 can be fixed by upgrading to AVEVA System Platform 2023 P04 https://softwaresupportsp.aveva.com/#/producthub/details * (Alternative 2) Historian 2020 R2 through 2020 R2 SP1 P01 can be fixed by first upgrading to AVEVA System Platform 2020 R2 SP1 P01 and then applying Hotfix 3190476. Please contact AVEVA Global Customer Support https://www.aveva.com/en/support/support-contact/  for instructions on how to download and apply this security fix. AVEVA also recommends the following general defensive measures: * Establish procedures for Historian REST Interface users to verify the source of URLs shared with them is trusted before opening. For information on how to reach AVEVA support for your product, please refer to this link: AVEVA Customer Support https://www.aveva.com/en/support/support-contact/ . If you discover errors or omissions in this advisory, please report the finding to Support. For the latest AVEVA security information and security updates, please visit AVEVA Security Central https://softwaresupportsp.aveva.com/#/securitycentral . Aveva recommends users looking for general information regarding how to secure Industrial Control Systems reference the NIST Guide to Operational Technology (OT) Security, NIST SP800-82r3 https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-82r3.pdf . For more information, see AVEVA's Security Bulletin AVEVA-2024-005. https://www.aveva.com/content/dam/aveva/documents/support/cyber-security-updates/SecurityBulletin_AVEVA-2024-005.pdf

CVE 정보

관련 약점

CWE-ID 약점 이름 출처
CWE-89 Improper Neutralization of Special Elements used in an SQL Command
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

메트릭

메트릭 점수 심각도 CVSS 벡터 출처
V4.0 8.5 HIGH CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N

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.

Active

Successful exploitation of this vulnerability requires a targeted user to perform specific, conscious interactions with the vulnerable system and the attacker’s payload, or the user’s interactions would actively subvert protection mechanisms which would lead to exploitation of the vulnerability. Examples include: importing a file into a vulnerable system in a specific manner placing files into a specific directory prior to executing code submitting a specific string into a web application (e.g. reflected or self XSS) dismiss or accept prompts or security warnings prior to taking an action (e.g. opening/editing a file, connecting a device).

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.

High

There is a total loss of confidentiality, resulting in all information within the Vulnerable System 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.

High

There is a total loss of integrity, or a complete loss of protection. For example, the attacker is able to modify any/all files protected by the Vulnerable System. Alternatively, only some files can be modified, but malicious modification would present a direct, serious consequence 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

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.

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