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CAPEC-383: Harvesting Information via API Event Monitoring
Attack Pattern ID: 383
Abstraction: Detailed
View customized information:
+ Description
An adversary hosts an event within an application framework and then monitors the data exchanged during the course of the event for the purpose of harvesting any important data leaked during the transactions. One example could be harvesting lists of usernames or userIDs for the purpose of sending spam messages to those users. One example of this type of attack involves the adversary creating an event within the sub-application. Assume the adversary hosts a "virtual sale" of rare items. As other users enter the event, the attacker records via AiTM (CAPEC-94) proxy the user_ids and usernames of everyone who attends. The adversary would then be able to spam those users within the application using an automated script.
+ Typical Severity

Low

+ Relationships
Section HelpThis 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.
NatureTypeIDName
ChildOfStandard Attack PatternStandard Attack Pattern - A standard level attack pattern in CAPEC is focused on a specific methodology or technique used in an attack. It is often seen as a singular piece of a fully executed attack. A standard attack pattern is meant to provide sufficient details to understand the specific technique and how it attempts to accomplish a desired goal. A standard level attack pattern is a specific type of a more abstract meta level attack pattern.407Pretexting
CanPrecedeMeta Attack PatternMeta Attack Pattern - A meta level attack pattern in CAPEC is a decidedly abstract characterization of a specific methodology or technique used in an attack. A meta attack pattern is often void of a specific technology or implementation and is meant to provide an understanding of a high level approach. A meta level attack pattern is a generalization of related group of standard level attack patterns. Meta level attack patterns are particularly useful for architecture and design level threat modeling exercises.94Adversary in the Middle (AiTM)
Section HelpThis table shows the views that this attack pattern belongs to and top level categories within that view.
View NameTop Level Categories
Domains of AttackSoftware, Social Engineering
Mechanisms of AttackEngage in Deceptive Interactions, Collect and Analyze Information
+ Prerequisites
The target software is utilizing application framework APIs
+ Consequences
Section HelpThis 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.
ScopeImpactLikelihood
Confidentiality
Read Data
+ Mitigations
Leverage encryption techniques during information transactions so as to protect them from attack patterns of this kind.
+ Taxonomy Mappings
Section HelpCAPEC 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 (also see parent)
Entry IDEntry Name
1056.004Input Capture: Credential API Hooking
+ References
[REF-327] Tom Stracener and Sean Barnum. "So Many Ways [...]: Exploiting Facebook and YoVille". Defcon 18. 2010.
+ Content History
Submissions
Submission DateSubmitterOrganization
2014-06-23
(Version 2.6)
CAPEC Content TeamThe MITRE Corporation
Modifications
Modification DateModifierOrganization
2018-07-31
(Version 2.12)
CAPEC Content TeamThe MITRE Corporation
Updated Attack_Motivation-Consequences, Attack_Prerequisites, Description Summary, Related_Attack_Patterns, Resources_Required, Solutions_and_Mitigations
2019-04-04
(Version 3.1)
CAPEC Content TeamThe MITRE Corporation
Updated Related_Attack_Patterns
2020-12-17
(Version 3.4)
CAPEC Content TeamThe MITRE Corporation
Updated Resources_Required
2021-06-24
(Version 3.5)
CAPEC Content TeamThe MITRE Corporation
Updated Description
2022-09-29
(Version 3.8)
CAPEC Content TeamThe MITRE Corporation
Updated Related_Attack_Patterns, Taxonomy_Mappings
Previous Entry Names
Change DatePrevious Entry Name
2018-07-31
(Version 2.12)
Harvesting Usernames or UserIDs via Application API Event Monitoring
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Page Last Updated or Reviewed: July 31, 2018
 

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