CVE 描述

Cisco NX-OS 4.0 through 6.1 on Nexus 1000V 3000, 4000, 5000, 6000, and 7000 devices and Unified Computing System (UCS) platforms allows remote attackers to cause a denial of service (TCP stack reload) by sending crafted TCP packets to a device that has a TIME_WAIT TCP session, aka Bug ID CSCub70579.

CVE 信息

相关弱点

CWE-ID	弱点名称	来源
CWE-399	Category : Resource Management Errors Weaknesses in this category are related to improper management of system resources.

指标

指标	评分	严重程度	CVSS 向量	来源
V3.0	7.5	HIGH	CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H 更多信息 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 A vulnerability exploitable with network access means the vulnerable component is bound to the network stack and the attacker's path is through OSI layer 3 (the network layer). Such a vulnerability is often termed 'remotely exploitable' and can be thought of as an attack being exploitable one or more network hops away (e.g. across layer 3 boundaries from 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 against 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 to carry out an attack. User Interaction This metric captures the requirement for a 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 An important property captured by CVSS v3.0 is the ability for a vulnerability in one software component to impact resources beyond its means, or privileges. Scope Formally, Scope refers to the collection of privileges defined by a computing authority (e.g. an application, an operating system, or a sandbox environment) when granting access to computing resources (e.g. files, CPU, memory, etc). These privileges are assigned based on some method of identification and authorization. In some cases, the authorization may be simple or loosely controlled based upon predefined rules or standards. For example, in the case of Ethernet traffic sent to a network switch, the switch accepts traffic that arrives on its ports and is an authority that controls the traffic flow to other switch ports. Unchanged An exploited vulnerability can only affect resources managed by the same authority. In this case the vulnerable component and the impacted component are the same. Base: Impact Metrics The Impact metrics refer to the properties of the impacted component. 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 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 that one has in the description of a vulnerability. Environmental Metrics	nvd@nist.gov
V2	7.8		AV:N/AC:L/Au:N/C:N/I:N/A:C	nvd@nist.gov

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。

EPSS First.org

参考资料

http://www.securitytracker.com/id/1035159
Tags : vdb-entry, x_refsource_SECTRACK

http://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20160302-netstack
Tags : vendor-advisory, x_refsource_CISCO

http://www.securitytracker.com/id/1035160
Tags : vdb-entry, x_refsource_SECTRACK

日期	EPSS V0	EPSS V1	EPSS V2 (> 2022-02-04)	EPSS V3 (> 2025-03-07)	EPSS V4 (> 2025-03-17)
2022-02-06	–	–	1.14%	–	–
2022-02-13	–	–	1.14%	–	–
2022-04-03	–	–	1.14%	–	–
2022-04-24	–	–	1.14%	–	–
2022-07-17	–	–	1.14%	–	–
2022-11-13	–	–	1.14%	–	–
2022-11-20	–	–	1.14%	–	–
2022-12-04	–	–	1.14%	–	–
2023-03-12	–	–	–	0.56%	–
2023-06-04	–	–	–	0.63%	–
2023-07-16	–	–	–	0.56%	–
2023-10-22	–	–	–	0.57%	–
2024-02-04	–	–	–	0.57%	–
2024-02-11	–	–	–	0.57%	–
2024-04-14	–	–	–	0.57%	–
2024-06-02	–	–	–	0.57%	–
2024-06-02	–	–	–	0.57%	–
2024-12-08	–	–	–	0.57%	–
2024-12-22	–	–	–	0.57%	–
2025-01-19	–	–	–	0.57%	–
2025-03-18	–	–	–	–	12.53%
2025-04-15	–	–	–	–	12.53%
2025-07-09	–	–	–	–	5.96%
2026-03-01	–	–	–	–	5.96%
2026-03-08	–	–	–	–	5.96%
2026-03-15	–	–	–	–	5.96%

日期	百分位
2022-02-06	34%
2022-02-13	35%
2022-04-03	56%
2022-04-24	57%
2022-07-17	58%
2022-11-13	59%
2022-11-20	58%
2022-12-04	59%
2023-03-12	74%
2023-06-04	76%
2023-07-16	75%
2023-10-22	75%
2024-02-04	76%
2024-02-11	77%
2024-04-14	78%
2024-06-02	78%
2024-06-02	78%
2024-12-08	79%
2024-12-22	78%
2025-01-19	78%
2025-03-18	93%
2025-04-15	94%
2025-07-09	9%
2026-03-01	91%
2026-03-08	9%
2026-03-15	91%

CVE-2015-0718

CVE 描述

CVE 信息

相关弱点

指标

Base: Exploitabilty Metrics

Base: Scope Metrics

Base: Impact Metrics

Temporal Metrics

Environmental Metrics

EPSS

EPSS 评分

EPSS 百分位

相关产品

配置 0

参考资料

CVE-2015-0718：详情

CVE-2015-0718

CVE 描述

CVE 信息

相关弱点

指标

Base: Exploitabilty Metrics

Base: Scope Metrics

Base: Impact Metrics

Temporal Metrics

Environmental Metrics

EPSS

EPSS 评分

EPSS 百分位

相关产品

配置 0

参考资料