Home > CAPEC List > CAPEC-111: JSON Hijacking (aka JavaScript Hijacking) (Version 3.9)

CAPEC-111: JSON Hijacking (aka JavaScript Hijacking)

Attack Pattern ID: 111
Abstraction: Standard
View customized information:
Description
An attacker targets a system that uses JavaScript Object Notation (JSON) as a transport mechanism between the client and the server (common in Web 2.0 systems using AJAX) to steal possibly confidential information transmitted from the server back to the client inside the JSON object by taking advantage of the loophole in the browser's Same Origin Policy that does not prohibit JavaScript from one website to be included and executed in the context of another website.
Extended Description

An attacker gets the victim to visit their malicious page that contains a script tag whose source points to the vulnerable system with a URL that requests a response from the server containing a JSON object with possibly confidential information. The malicious page also contains malicious code to capture the JSON object returned by the server before any other processing on it can take place, typically by overriding the JavaScript function used to create new objects. This hook allows the malicious code to get access to the creation of each object and transmit the possibly sensitive contents of the captured JSON object to the attackers' server.

There is nothing in the browser's security model to prevent the attackers' malicious JavaScript code (originating from attacker's domain) to set up an environment (as described above) to intercept a JSON object response (coming from the vulnerable target system's domain), read its contents and transmit to the attackers' controlled site. The same origin policy protects the domain object model (DOM), but not the JSON.

Likelihood Of Attack

High

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.212Functionality Misuse
Section HelpThis table shows the views that this attack pattern belongs to and top level categories within that view.
Execution Flow
Explore

  1. Understand How to Request JSON Responses from the Target System: An attacker first explores the target system to understand what URLs need to be provided to it in order to retrieve JSON objects that contain information of interest to the attacker.

    Techniques
    An attacker creates an account with the target system and observes requests and the corresponding JSON responses from the server. Understanding how to properly elicit responses from the server is crucial to the attackers' ability to craft the exploit.
Experiment

  1. Craft a malicious website:

    The attacker crafts a malicious website to which they plan to lure the victim who is using the vulnerable target system. The malicious website does two things:

    • 1. Contains a hook that intercepts incoming JSON objects, reads their contents and forwards the contents to the server controlled by the attacker (via a new XMLHttpRequest).
    • 2. Uses the script tag with a URL in the source that requests a JSON object from the vulnerable target system. Once the JSON object is transmitted to the victim's browser, the malicious code (as described in step 1) intercepts that JSON object, steals its contents, and forwards to the attacker.

    This attack step leverages the fact that the same origin policy in the browser does not protect JavaScript originating from one domain from setting up an environment to intercept and access JSON objects arriving from a completely different domain.

Exploit

  1. Launch JSON hijack: An attacker lures the victim to the malicious website or leverages other means to get their malicious code executing in the victim's browser. Once that happens, the malicious code makes a request to the victim target system to retrieve a JSON object with sensitive information. The request includes the victim's session cookie if the victim is logged in.

    Techniques
    An attacker employs a myriad of standard techniques to get the victim to visit their malicious site or by some other means get the attackers' malicious code executing in the victim's browser.
Prerequisites
JSON is used as a transport mechanism between the client and the server
The target server cannot differentiate real requests from forged requests
The JSON object returned from the server can be accessed by the attackers' malicious code via a script tag
Skills Required
[Level: Medium]
Once this attack pattern is developed and understood, creating an exploit is not very complex.The attacker needs to have knowledge of the URLs that need to be accessed on the target system to request the JSON objects.
Resources Required
None: No specialized resources are required to execute this type of attack.
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
Ensure that server side code can differentiate between legitimate requests and forged requests. The solution is similar to protection against Cross Site Request Forger (CSRF), which is to use a hard to guess random nonce (that is unique to the victim's session with the server) that the attacker has no way of knowing (at least in the absence of other weaknesses). Each request from the client to the server should contain this nonce and the server should reject all requests that do not contain the nonce.
On the client side, the system's design could make it difficult to get access to the JSON object content via the script tag. Since the JSON object is never assigned locally to a variable, it cannot be readily modified by the attacker before being used by a script tag. For instance, if while(1) was added to the beginning of the JavaScript returned by the server, trying to access it with a script tag would result in an infinite loop. On the other hand, legitimate client side code can remove the while(1) statement after which the JavaScript can be evaluated. A similar result can be achieved by surrounding the returned JavaScript with comment tags, or using other similar techniques (e.g. wrapping the JavaScript with HTML tags).
Make the URLs in the system used to retrieve JSON objects unpredictable and unique for each user session.
Ensure that to the extent possible, no sensitive data is passed from the server to the client via JSON objects. JavaScript was never intended to play that role, hence the same origin policy does not adequate address this scenario.
Example Instances

Gmail service was found to be vulnerable to a JSON Hijacking attack that enabled an attacker to get the contents of the victim's address book. An attacker could send an e-mail to the victim's Gmail account (which ensures that the victim is logged in to Gmail when they receive it) with a link to the attackers' malicious site. If the victim clicked on the link, a request (containing the victim's authenticated session cookie) would be sent to the Gmail servers to fetch the victim's address book. This functionality is typically used by the Gmail service to get this data on the fly so that the user can be provided a list of contacts from which to choose the recipient of the e-mail.

When the JSON object with the contacts came back, it was loaded into the JavaScript space via a script tag on the attackers' malicious page. Since the JSON object was never assigned to a local variable (which would have prevented a script from a different domain accessing it due to the browser's same origin policy), another mechanism was needed to access the data that it contained. That mechanism was overwriting the internal array constructor with the attackers' own constructor in order to gain access to the JSON object's contents. These contents could then be transferred to the site controlled by the attacker.

Content History
Submissions
Submission DateSubmitterOrganization
2014年06月23日
(Version 2.6)
CAPEC Content TeamThe MITRE Corporation
Modifications
Modification DateModifierOrganization
2015年12月07日
(Version 2.8)
CAPEC Content TeamThe MITRE Corporation
Updated Related_Attack_Patterns
2017年08月04日
(Version 2.11)
CAPEC Content TeamThe MITRE Corporation
Updated Attacker_Skills_or_Knowledge_Required, Resources_Required
2019年09月30日
(Version 3.2)
CAPEC Content TeamThe MITRE Corporation
Updated @Abstraction
2020年07月30日
(Version 3.3)
CAPEC Content TeamThe MITRE Corporation
Updated Description, Example_Instances, Execution_Flow, Related_Attack_Patterns
2022年02月22日
(Version 3.7)
CAPEC Content TeamThe MITRE Corporation
Updated Description, Extended_Description
2022年09月29日
(Version 3.8)
CAPEC Content TeamThe MITRE Corporation
Updated Execution_Flow
More information is available — Please select a different filter.
Page Last Updated or Reviewed: July 31, 2018

Use of the Common Attack Pattern Enumeration and Classification (CAPEC), and the associated references from this website are subject to the Terms of Use. Copyright © 2007–2025, The MITRE Corporation. CAPEC and the CAPEC logo are trademarks of The MITRE Corporation.

AltStyle によって変換されたページ (->オリジナル) /