CVSS v2 Scoring Label Details

The Common Vulnerability Scoring System (CVSS) provides a way to capture the principal characteristics of a vulnerability and produce a numerical score reflecting its severity. The numerical score can then be translated into a qualitative representation (such as low, medium, high, and critical) to help organizations properly assess and prioritize their vulnerability management processes. Version 2 is the previous version of this system

The following tables explain the categories within CVSS Version 2 and the meaning behind their respective tags:

Access Vector (AV)

This metric reflects how the vulnerability is exploited. The more remote an attacker can be to attack a host, the greater the vulnerability score.

Metric ValueDescription
Local (L)A vulnerability exploitable with only local access requires the attacker to have either physical access to the vulnerable system or a local (shell) account. Examples of locally exploitable vulnerabilities are peripheral attacks such as Firewire/USB DMA attacks, and local privilege escalations (e.g., sudo).
Adjacent Network (A)A vulnerability exploitable with adjacent network access requires the attacker to have access to either the broadcast or collision domain of the vulnerable software.  Examples of local networks include local IP subnet, Bluetooth, IEEE 802.11, and local Ethernet segment.
Network (N)A vulnerability exploitable with network access means the vulnerable software is bound to the network stack and the attacker does not require local network access or local access. Such a vulnerability is often termed “remotely exploitable”. An example of a network attack is an RPC buffer overflow.

Access Complexity (AC)

This metric measures the complexity of the attack required to exploit the vulnerability once an attacker has gained access to the target system. For example, consider a buffer overflow in an Internet service: once the target system is located, the attacker can launch an exploit at will.

Other vulnerabilities, however, may require additional steps in order to be exploited. For example, a vulnerability in an email client is only exploited after the user downloads and opens a tainted attachment. The lower the required complexity, the higher the vulnerability score.

Metric ValueDescription
High (H)Specialized access conditions exist. For example:
– In most configurations, the attacking party must already have elevated privileges or spoof additional systems in addition to the attacking system (e.g., DNS hijacking).
– The attack depends on social engineering methods that would be easily detected by knowledgeable people. For example, the victim must perform several suspicious or atypical actions.
– The vulnerable configuration is seen very rarely in practice.
– If a race condition exists, the window is very narrow.
Medium (M)The access conditions are somewhat specialized; the following are examples:
– The attacking party is limited to a group of systems or users at some level of authorization, possibly untrusted.
– Some information must be gathered before a successful attack can be launched.
– The affected configuration is non-default, and is not commonly configured (e.g., a vulnerability present when a server performs user account authentication via a specific scheme, but not present for another authentication scheme).
– The attack requires a small amount of social engineering that might occasionally fool cautious users (e.g., phishing attacks that modify a web browsers status bar to show a false link, having to be on someones buddy list before sending an IM exploit).
Low (L)Specialized access conditions or extenuating circumstances do not exist. The following are examples:
– The affected product typically requires access to a wide range of systems and users, possibly anonymous and untrusted (e.g., Internet-facing web or mail server).
– The affected configuration is default or ubiquitous.
– The attack can be performed manually and requires little skill or additional information gathering.
– The race condition is a lazy one (i.e., it is technically a race but easily winnable).

Authentication (Au)

This metric measures the number of times an attacker must authenticate to a target in order to exploit a vulnerability. This metric does not gauge the strength or complexity of the authentication process, only that an attacker is required to provide credentials before an exploit may occur.  The fewer authentication instances that are required, the higher the vulnerability score.

Metric ValueDescription
Multiple (M)Exploiting the vulnerability requires that the attacker authenticate two or more times, even if the same credentials are used each time. An example is an attacker authenticating to an operating system in addition to providing credentials to access an application hosted on that system.
Single (S)The vulnerability requires an attacker to be logged into the system (such as at a command line or via a desktop session or web interface).
None (N)Authentication is not required to exploit the vulnerability.

Confidentiality Impact (C)

This metric measures the impact on confidentiality of a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones. Increased confidentiality impact increases the vulnerability score.

Metric ValueDescription
None (N)There is no impact to the confidentiality of the system.
Partial (P)There is considerable informational disclosure. Access to some system files is possible, but the attacker does not have control over what is obtained, or the scope of the loss is constrained. An example is a vulnerability that divulges only certain tables in a database.
Complete (C)There is total information disclosure, resulting in all system files being revealed. The attacker is able to read all of the system’s data (memory, files, etc.)

Integrity Impact (I)

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

Metric ValueDescription
None (N)There is no impact to the integrity of the system.
Partial (P)Modification of some system files or information is possible, but the attacker does not have control over what can be modified, or the scope of what the attacker can affect is limited. For example, system or application files may be overwritten or modified, but either the attacker has no control over which files are affected or the attacker can modify files within only a limited context or scope.
Complete (C)There is a total compromise of system integrity. There is a complete loss of system protection, resulting in the entire system being compromised. The attacker is able to modify any files on the target system.

Availability Impact (A)

This metric measures the impact to availability of a successfully exploited vulnerability. Availability refers to the accessibility of information resources. Attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system. Increased availability impact increases the vulnerability score.

Metric ValueDescription
None (N)There is no impact to the availability of the system.
Partial (P)There is reduced performance or interruptions in resource availability. An example is a network-based flood attack that permits a limited number of successful connections to an Internet service.
Complete (C)There is a total shutdown of the affected resource. The attacker can render the resource completely unavailable.

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