CVE-2019-19300 : 상세 정보

CVE-2019-19300

7.5
/
높음
0.54%V4
2020-04-14
00h00 +00:00
Network
2025-07-08
10h32 +00:00
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알림 관리

CVE 설명

A vulnerability has been identified in Development/Evaluation Kits for PROFINET IO: EK-ERTEC 200, Development/Evaluation Kits for PROFINET IO: EK-ERTEC 200P, KTK ATE530S, SIDOOR ATD430W, SIDOOR ATE530S COATED, SIDOOR ATE531S, SIMATIC ET 200AL IM 157-1 PN (6ES7157-1AB00-0AB0), SIMATIC ET 200eco PN, AI 8xRTD/TC, M12-L (6ES7144-6JF00-0BB0), SIMATIC ET 200eco PN, CM 4x IO-Link, M12-L (6ES7148-6JE00-0BB0), SIMATIC ET 200eco PN, CM 8x IO-Link, M12-L (6ES7148-6JG00-0BB0), SIMATIC ET 200eco PN, CM 8x IO-Link, M12-L (6ES7148-6JJ00-0BB0), SIMATIC ET 200eco PN, DI 16x24VDC, M12-L (6ES7141-6BH00-0BB0), SIMATIC ET 200eco PN, DI 8x24VDC, M12-L (6ES7141-6BG00-0BB0), SIMATIC ET 200eco PN, DIQ 16x24VDC/2A, M12-L (6ES7143-6BH00-0BB0), SIMATIC ET 200eco PN, DQ 8x24VDC/0,5A, M12-L (6ES7142-6BG00-0BB0), SIMATIC ET 200eco PN, DQ 8x24VDC/2A, M12-L (6ES7142-6BR00-0BB0), SIMATIC ET 200MP IM 155-5 PN HF (6ES7155-5AA00-0AC0), SIMATIC ET 200pro IM 154-8 PN/DP CPU (6ES7154-8AB01-0AB0), SIMATIC ET 200pro IM 154-8F PN/DP CPU (6ES7154-8FB01-0AB0), SIMATIC ET 200pro IM 154-8FX PN/DP CPU (6ES7154-8FX00-0AB0), SIMATIC ET 200S IM 151-8 PN/DP CPU (6ES7151-8AB01-0AB0), SIMATIC ET 200S IM 151-8F PN/DP CPU (6ES7151-8FB01-0AB0), SIMATIC ET 200SP IM 155-6 MF HF (6ES7155-6MU00-0CN0), SIMATIC ET 200SP IM 155-6 PN HA (incl. SIPLUS variants), SIMATIC ET 200SP IM 155-6 PN HF (6ES7155-6AU00-0CN0), SIMATIC ET 200SP IM 155-6 PN/2 HF (6ES7155-6AU01-0CN0), SIMATIC ET 200SP IM 155-6 PN/3 HF (6ES7155-6AU30-0CN0), SIMATIC ET 200SP Open Controller CPU 1515SP PC (incl. SIPLUS variants), SIMATIC ET 200SP Open Controller CPU 1515SP PC2 (incl. SIPLUS variants), SIMATIC MICRO-DRIVE PDC, SIMATIC PN/MF Coupler (6ES7158-3MU10-0XA0), SIMATIC PN/PN Coupler (6ES7158-3AD10-0XA0), SIMATIC S7-1200 CPU family (incl. SIPLUS variants), SIMATIC S7-1500 CPU family (incl. related ET 200 CPUs and SIPLUS variants), SIMATIC S7-1500 Software Controller, SIMATIC S7-300 CPU 314C-2 PN/DP (6ES7314-6EH04-0AB0), SIMATIC S7-300 CPU 315-2 PN/DP (6ES7315-2EH14-0AB0), SIMATIC S7-300 CPU 315F-2 PN/DP (6ES7315-2FJ14-0AB0), SIMATIC S7-300 CPU 315T-3 PN/DP (6ES7315-7TJ10-0AB0), SIMATIC S7-300 CPU 317-2 PN/DP (6ES7317-2EK14-0AB0), SIMATIC S7-300 CPU 317F-2 PN/DP (6ES7317-2FK14-0AB0), SIMATIC S7-300 CPU 317T-3 PN/DP (6ES7317-7TK10-0AB0), SIMATIC S7-300 CPU 317TF-3 PN/DP (6ES7317-7UL10-0AB0), SIMATIC S7-300 CPU 319-3 PN/DP (6ES7318-3EL01-0AB0), SIMATIC S7-300 CPU 319F-3 PN/DP (6ES7318-3FL01-0AB0), SIMATIC S7-400 H V6 and below CPU family (incl. SIPLUS variants), SIMATIC S7-400 PN/DP V7 CPU family (incl. SIPLUS variants), SIMATIC S7-410 V10 CPU family (incl. SIPLUS variants), SIMATIC S7-410 V8 CPU family (incl. SIPLUS variants), SIMATIC TDC CP51M1, SIMATIC TDC CPU555, SIMATIC WinAC RTX 2010 (6ES7671-0RC08-0YA0), SIMATIC WinAC RTX F 2010 (6ES7671-1RC08-0YA0), SINAMICS S/G Control Unit w. PROFINET, SIPLUS ET 200MP IM 155-5 PN HF (6AG1155-5AA00-2AC0), SIPLUS ET 200MP IM 155-5 PN HF (6AG1155-5AA00-7AC0), SIPLUS ET 200MP IM 155-5 PN HF T1 RAIL (6AG2155-5AA00-1AC0), SIPLUS ET 200S IM 151-8 PN/DP CPU (6AG1151-8AB01-7AB0), SIPLUS ET 200S IM 151-8F PN/DP CPU (6AG1151-8FB01-2AB0), SIPLUS ET 200SP IM 155-6 PN HF (6AG1155-6AU00-2CN0), SIPLUS ET 200SP IM 155-6 PN HF (6AG1155-6AU00-4CN0), SIPLUS ET 200SP IM 155-6 PN HF (6AG1155-6AU01-2CN0), SIPLUS ET 200SP IM 155-6 PN HF (6AG1155-6AU01-7CN0), SIPLUS ET 200SP IM 155-6 PN HF T1 RAIL (6AG2155-6AU00-1CN0), SIPLUS ET 200SP IM 155-6 PN HF T1 RAIL (6AG2155-6AU01-1CN0), SIPLUS ET 200SP IM 155-6 PN HF TX RAIL (6AG2155-6AU01-4CN0), SIPLUS NET PN/PN Coupler (6AG2158-3AD10-4XA0), SIPLUS S7-300 CPU 314C-2 PN/DP (6AG1314-6EH04-7AB0), SIPLUS S7-300 CPU 315-2 PN/DP (6AG1315-2EH14-7AB0), SIPLUS S7-300 CPU 315F-2 PN/DP (6AG1315-2FJ14-2AB0), SIPLUS S7-300 CPU 317-2 PN/DP (6AG1317-2EK14-7AB0), SIPLUS S7-300 CPU 317F-2 PN/DP (6AG1317-2FK14-2AB0). The Interniche-based TCP Stack can be forced to make very expensive calls for every incoming packet which can lead to a denial of service.

CVE 정보

관련 약점

CWE-ID 약점 이름 출처
CWE-400 Uncontrolled Resource Consumption
The product does not properly control the allocation and maintenance of a limited resource.

메트릭

메트릭 점수 심각도 CVSS 벡터 출처
V3.1 7.5 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H/E:P/RL:O/RC:C

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.

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.

Exploit Code Maturity

This metric measures the likelihood of the vulnerability being attacked, and is typically based on the current state of exploit techniques, exploit code availability, or active, “in-the-wild” exploitation.

Proof-of-Concept

Proof-of-concept exploit code is available, or an attack demonstration is not practical for most systems. The code or technique is not functional in all situations and may require substantial modification by a skilled attacker.

Remediation Level

The Remediation Level of a vulnerability is an important factor for prioritization.

Official fix

A complete vendor solution is available. Either the vendor has issued an official patch, or an upgrade is available.

Report Confidence

This metric measures the degree of confidence in the existence of the vulnerability and the credibility of the known technical details.

Confirmed

Detailed reports exist, or functional reproduction is possible (functional exploits may provide this). Source code is available to independently verify the assertions of the research, or the author or vendor of the affected code has confirmed the presence of the 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.

V3.1 7.5 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

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.

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.

productcert@siemens.com
V2 5 AV:N/AC:L/Au:N/C:N/I:N/A:P nvd@nist.gov

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.

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참고 자료