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Mobile Security Framework (MobSF) Stored Cross-Site Scripting Vulnerability in "Diff or Compare" Functionality

Moderate severity GitHub Reviewed Published Dec 3, 2024 in MobSF/Mobile-Security-Framework-MobSF • Updated Dec 3, 2024

Package

pip mobsf (pip)

Affected versions

< 4.2.9

Patched versions

4.2.9

Description

Summary

The application allows users to upload files with scripts in the filename parameter. As a result, a malicious user can upload a script file to the system. When users in the application use the "Diff or Compare" functionality, they are affected by a Stored Cross-Site Scripting vulnerability.

Details

I found a Stored Cross-Site Scripting vulnerability in the "Diff or Compare" functionality. This issue occurs because the upload functionality allows users to upload files with special characters such as <, >, /, and " in the filename. This vulnerability can be mitigated by restricting file uploads to filenames containing only whitelisted characters, such as A-Z, 0-9, and specific special characters permitted by business requirements, like - or _ .

PoC

Complete instructions, including specific configuration details, to reproduce the vulnerability.

  1. On MobSF version 4.2.8, I clicked on "Unload & Analyze" button.
    0

  2. I uploaded zip file as a name test.zip.
    1

  3. I used an intercepting proxy tool while uploading a file and changed the value of the filename parameter from test.zip to <image src onerror=prompt(document.domain)>test.zip. This means I uploaded a file and set its name to a script value. As a result, the server allowed the file to be uploaded successfully.
    2

  4. I accessed /recent_scans/ and found a file named <image src onerror=prompt(document.domain)>test.zip in the recent scans. Then, I clicked on the "Differ or Compare" button."
    3

  5. I found that the application requires selecting a file to compare, and I selected the file <image src onerror=prompt(document.domain)>test.zip
    4

  6. I found that the JavaScript in the filename value was executed in the web browser.
    5

Impact

Allowing a malicious user to upload a script in the filename parameter can be used to steal information from other users or administrators when they perform the compare functionality. The script will be stored in the system permanently in this vulnerability.

References

Published by the National Vulnerability Database Dec 3, 2024
Published to the GitHub Advisory Database Dec 3, 2024
Reviewed Dec 3, 2024
Last updated Dec 3, 2024

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required High
User interaction Passive
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality High
Integrity High
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:P/VC:N/VI:N/VA:N/SC:H/SI:H/SA:N

EPSS score

0.043%
(11th percentile)

Weaknesses

CVE ID

CVE-2024-53999

GHSA ID

GHSA-5jc6-h9w7-jm3p

Credits

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