Home > CAPEC List > CAPEC-37: Retrieve Embedded Sensitive Data (Version 3.9)

CAPEC-37: Retrieve Embedded Sensitive Data

Attack Pattern ID: 37
Abstraction: Detailed
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Description
An attacker examines a target system to find sensitive data that has been embedded within it. This information can reveal confidential contents, such as account numbers or individual keys/credentials that can be used as an intermediate step in a larger attack.
Likelihood Of Attack

High

Typical Severity

Very 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
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.167White Box Reverse Engineering
CanFollowDetailed Attack PatternDetailed Attack Pattern - A detailed level attack pattern in CAPEC provides a low level of detail, typically leveraging a specific technique and targeting a specific technology, and expresses a complete execution flow. Detailed attack patterns are more specific than meta attack patterns and standard attack patterns and often require a specific protection mechanism to mitigate actual attacks. A detailed level attack pattern often will leverage a number of different standard level attack patterns chained together to accomplish a goal.65Sniff Application Code
CanFollowStandard 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.675Retrieve Data from Decommissioned Devices
Section HelpThis table shows the views that this attack pattern belongs to and top level categories within that view.
Execution Flow
Explore

  1. Identify Target: Attacker identifies client components to extract information from. These may be binary executables, class files, shared libraries (e.g., DLLs), configuration files, or other system files.

    Techniques
    Binary file extraction. The attacker extracts binary files from zips, jars, wars, PDFs or other composite formats.
    Package listing. The attacker uses a package manifest provided with the software installer, or the filesystem itself, to identify component files suitable for attack.
Exploit

  1. Retrieve Embedded Data: The attacker then uses a variety of techniques, such as sniffing, reverse-engineering, and cryptanalysis to retrieve the information of interest.

    Techniques
    API Profiling. The attacker monitors the software's use of registry keys or other operating system-provided storage locations that can contain sensitive information.
    Execution in simulator. The attacker physically removes mass storage from the system and explores it using a simulator, external system, or other debugging harness.
    Common decoding methods. The attacker applies methods to decode such encodings and compressions as Base64, unzip, unrar, RLE decoding, gzip decompression and so on.
    Common data typing. The attacker looks for common file signatures for well-known file types (JPEG, TIFF, ASN.1, LDIF, etc.). If the signatures match, they attempt decoding in that format.
Prerequisites
In order to feasibly execute this type of attack, some valuable data must be present in client software.
Additionally, this information must be unprotected, or protected in a flawed fashion, or through a mechanism that fails to resist reverse engineering, statistical, or other attack.
Skills Required
[Level: Medium]
The attacker must possess knowledge of client code structure as well as ability to reverse-engineer or decompile it or probe it in other ways. This knowledge is specific to the technology and language used for the client distribution
Resources Required
The attacker must possess access to the system or code being exploited. Such access, for this set of attacks, will likely be physical. The attacker will make use of reverse engineering technologies, perhaps for data or to extract functionality from the binary. Such tool use may be as simple as "Strings" or a hex editor. Removing functionality may require the use of only a hex editor, or may require aspects of the toolchain used to construct the application: for instance the Adobe Flash development environment. Attacks of this nature do not require network access or undue CPU, memory, or other hardware-based resources.
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
Integrity
Modify Data
Confidentiality
Access Control
Authorization
Gain Privileges
Example Instances
Using a tool such as 'strings' or similar to pull out text data, perhaps part of a database table, that extends beyond what a particular user's purview should be.
An attacker can also use a decompiler to decompile a downloaded Java applet in order to look for information such as hardcoded IP addresses, file paths, passwords or other such contents.
Attacker uses a tool such as a browser plug-in to pull cookie or other token information that, from a previous user at the same machine (perhaps a kiosk), allows the attacker to log in as the previous user.
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
Entry IDEntry Name
1005 Data from Local System
1552.004 Unsecured Credentials: Private Keys
Content History
Submissions
Submission DateSubmitterOrganization
2014年06月23日
(Version 2.6)
CAPEC Content TeamThe MITRE Corporation
Modifications
Modification DateModifierOrganization
2015年11月09日
(Version 2.7)
CAPEC Content TeamThe MITRE Corporation
Updated Activation_Zone, Attack_Phases, Attack_Prerequisites, Description Summary, Injection_Vector, Payload, Payload_Activation_Impact, Related_Vulnerabilities, Resources_Required
2020年07月30日
(Version 3.3)
CAPEC Content TeamThe MITRE Corporation
Updated Execution_Flow, Related_Weaknesses, Taxonomy_Mappings
2020年12月17日
(Version 3.4)
CAPEC Content TeamThe MITRE Corporation
Updated Related_Weaknesses
2021年06月24日
(Version 3.5)
CAPEC Content TeamThe MITRE Corporation
Updated Related_Weaknesses
2022年02月22日
(Version 3.7)
CAPEC Content TeamThe MITRE Corporation
Updated Execution_Flow
2022年09月29日
(Version 3.8)
CAPEC Content TeamThe MITRE Corporation
Updated Taxonomy_Mappings
Previous Entry Names
Change DatePrevious Entry Name
2015年11月09日
(Version 2.7)
Lifting Data Embedded in Client Distributions
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Page Last Updated or Reviewed: July 31, 2018

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