Apache Tika Vulnerability Allows Information Disclosure or Manipulation

A vulnerability exists in Apache Tika that could be exploited by an unauthenticated, remote attacker. This flaw allows the attacker to potentially read sensitive information or initiate malicious requests targeting internal resources or external third-party servers. The specific version of Apache Tika affected is not specified, but organizations using this software for document parsing and analysis should be aware of the risk. Exploitation of this vulnerability could lead to data leakage, internal network reconnaissance, or denial-of-service attacks against other systems. This vulnerability poses a risk to organizations that rely on Apache Tika for processing untrusted documents.

Attack Chain

1. An attacker identifies an Apache Tika endpoint exposed to network traffic.
2. The attacker crafts a malicious document designed to exploit the vulnerability.
3. The attacker submits the malicious document to the Apache Tika endpoint for processing.
4. The vulnerability is triggered during the document parsing process within Apache Tika.
5. If the vulnerability allows sensitive data disclosure, Tika transmits extracted data back to the attacker via HTTP response.
6. If the vulnerability allows request forgery, Tika initiates a malicious request to an internal resource (e.g., internal server) or external third-party server.
7. The internal resource or third-party server receives the request, potentially leading to further exploitation or denial of service.

Impact

Successful exploitation of this vulnerability could lead to the disclosure of sensitive information contained within processed documents. This information could include personally identifiable information (PII), confidential business data, or proprietary algorithms. Furthermore, the ability to trigger malicious requests could enable attackers to conduct internal reconnaissance, pivot to other systems within the network, or launch denial-of-service attacks against external targets.

Recommendation

• Inspect web server logs for unusual POST requests to Apache Tika endpoints with suspicious file types or parameters, using the Sigma rule “Detect Suspicious Apache Tika Requests”.
• Monitor network traffic for Apache Tika processes making outbound connections to unexpected internal or external resources, using the Sigma rule “Detect Suspicious Outbound Connections from Apache Tika”.
• Implement network segmentation to limit the impact of potential malicious requests originating from the Apache Tika server.