This attack utilizes the frequent client-server roundtrips in Ajax conversation to scan a system. While Ajax does not open up new vulnerabilities per se, it does optimize them from an attacker point of view. A common first step for an attacker is to footprint the target environment to understand what attacks will work. Since footprinting relies on enumeration, the conversational pattern of rapid, multiple requests and responses that are typical in Ajax applications enable an attacker to look for many vulnerabilities, well-known ports, network locations and so on. The knowledge gained through Ajax fingerprinting can be used to support other attacks, such as XSS.
Likelihood Of Attack
High
Typical Severity
Low
Relationships
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.
Nature
Type
ID
Name
ChildOf
Standard 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.
Standard 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.
Send request to target webpage and analyze HTML: Using a browser or an automated tool, an adversary sends requests to a webpage and records the received HTML response. Adversaries then analyze the HTML to identify any known underlying JavaScript architectures. This can aid in mappiong publicly known vulnerabilities to the webpage and can also helpo the adversary guess application architecture and the inner workings of a system.
Techniques
Record all "src" values inside script tags. These JavaScript files are compared to lists of files for known architectures. If there is a large match between the "src" values and architecture files, then it can be assumed that particular architecture is being used.
Prerequisites
The user must allow JavaScript to execute in their browser
Skills Required
[Level: Medium]
To land and launch a script on victim's machine with appropriate footprinting logic for enumerating services and vulnerabilities in JavaScript
Resources Required
None: No specialized resources are required to execute this type of attack.
Consequences
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.
Scope
Impact
Likelihood
Confidentiality
Read Data
Mitigations
Design: Use browser technologies that do not allow client side scripting.
Implementation: Perform input validation for all remote content.
Example Instances
Footprinting can be executed over almost any protocol including HTTP, TCP, UDP, and ICMP, with the general goal of gaining further information about a host environment to launch further attacks. The attacker can probe the system for banners, vulnerabilities, filenames, available services, and in short anything the host process has access to. The results of the probe are either used to execute javascript (for example, if the attackers' footprint script identifies a vulnerability in a firewall permission, then the client side script executes a javascript to change client firewall settings, or an attacker may simply echo the results of the scan back out to a remote host for targeting future attacks) or to inform other data gathering activities in order to craft atta.
Related Weaknesses
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
)
Description
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.
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