Common Attack Pattern Enumeration and Classification
A Community Resource for Identifying and Understanding Attacks
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An adversary spoofs software popularity metadata to deceive users into believing that a maliciously provided package is widely used and originates from a trusted source.
Many open-source software packages are hosted via third-party package managers (e.g., Node Package Manager, PyPi, Yarn, etc.) that allow for easy integration of software components into existing development environments. A package manager will typically include various metadata about the software and often include a link to the package's source code repository, to assist developers in determining the trustworthiness of the software. One common statistic used in this decision-making process is the popularity of the package. This entails checking the amount of "Stars" the package has received, which the package manager displays based on the provided source code repository URL. However, many package managers do not validate the connection between the package and source code repository being provided. Adversaries can thus spoof the popularity statistic of a malicious package by associating a popular source code repository URL with the package. This can ultimately trick developers into unintentionally incorporating the malicious package into their development environment.
This table shows the other attack patterns and high level categories that are related to this attack pattern. These relationships are defined as ChildOf and ParentOf, and give insight to similar items that may exist at higher and lower levels of abstraction. In addition, relationships such as CanFollow, PeerOf, and CanAlsoBe are defined to show similar attack patterns that the user may want to explore.
This table shows the views that this attack pattern belongs to and top level categories within that view.
This table specifies different individual consequences associated with the attack pattern. The Scope identifies the security property that is violated, while the Impact describes the negative technical impact that arises if an adversary succeeds in their attack. The Likelihood provides information about how likely the specific consequence is expected to be seen relative to the other consequences in the list. For example, there may be high likelihood that a pattern will be used to achieve a certain impact, but a low likelihood that it will be exploited to achieve a different impact.
A Related Weakness relationship associates a weakness with this attack pattern. Each association implies a weakness that must exist for a given attack to be successful. If multiple weaknesses are associated with the attack pattern, then any of the weaknesses (but not necessarily all) may be present for the attack to be successful. Each related weakness is identified by a CWE identifier.
CAPEC mappings to ATT&CK techniques leverage an inheritance model to streamline and minimize direct CAPEC/ATT&CK mappings. Inheritance of a mapping is indicated by text stating that the parent CAPEC has relevant ATT&CK mappings. Note that the ATT&CK Enterprise Framework does not use an inheritance model as part of the mapping to CAPEC.
Relevant to the ATT&CK taxonomy mapping (see parent )
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