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 資訊

相關弱點

CWE-ID	弱點名稱	來源
CWE-399	Category : Resource Management Errors Weaknesses in this category are related to improper management of system resources.

指標

指標	評分	嚴重程度	CVSS 向量	來源
V3.0	7.5	HIGH	CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H 更多資訊 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 是一種預測漏洞被利用可能性的評分模型。

EPSS 評分

EPSS 模型產生介於 0 到 1（0% 到 100%）之間的概率分數。分數越高，漏洞被利用的概率越大。

EPSS 百分位數

百分位數用於根據 EPSS 分數對 CVE 進行排名。例如，EPSS 評分在第 95 百分位的 CVE 比 95% 的其他 CVE 更有可能被利用。因此，百分位數用於比較某 CVE 的 EPSS 分數與其他 CVE 的相對位置。

EPSS First.org

參考資料

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 資訊

相關弱點

指標

Base: Exploitabilty Metrics

Base: Scope Metrics

Base: Impact Metrics

Temporal Metrics

Environmental Metrics

EPSS

EPSS 評分

EPSS 百分位數

相關產品

設定 0

參考資料

CVE-2015-0718：詳細資料

CVE-2015-0718

CVE 描述

CVE 資訊

相關弱點

指標

Base: Exploitabilty Metrics

Base: Scope Metrics

Base: Impact Metrics

Temporal Metrics

Environmental Metrics

EPSS

EPSS 評分

EPSS 百分位數

相關產品

設定 0

參考資料