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CAPEC-610: Cellular Data Injection

Attack Pattern ID: 610
Abstraction: Standard
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+ Description
Adversaries inject data into mobile technology traffic (data flows or signaling data) to disrupt communications or conduct additional surveillance operations.
+ Typical Severity

High

+ 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
ChildOfMeta 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.240Resource Injection
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, Communications
Mechanisms of AttackInject Unexpected Items
+ Prerequisites
None
+ Skills Required
[Level: High]
Often achieved by nation states in conjunction with commercial cellular providers to conduct cellular traffic intercept and possible traffic injection.
+ 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
Availability
Resource Consumption
Availability
Modify Data
+ Mitigations
Commercial defensive technology to detect and alert to any attempts to modify mobile technology data flows or to inject new data into existing data flows and signaling data.
+ Content History
Submissions
Submission DateSubmitterOrganization
2015-11-09
(Version 2.7)
CAPEC Content TeamThe MITRE Corporation
Modifications
Modification DateModifierOrganization
2017-08-04
(Version 2.11)
CAPEC Content TeamThe MITRE Corporation
Updated Attack_Motivation-Consequences
2019-09-30
(Version 3.2)
CAPEC Content TeamThe MITRE Corporation
Updated @Abstraction
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Page Last Updated or Reviewed: July 31, 2018
 

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