Critical Apache Tika Vulnerability Leads to XXE Injection
The bug allows attackers to carry out XML External Entity (XXE) injection attacks via crafted XFA files inside PDF files. The post Critical Apache Tika Vulnerability Leads to XXE Injection appeared first on SecurityWeek .
AI Analysis
Technical Summary
Apache Tika is a widely used open-source content analysis toolkit that extracts metadata and text from various document formats, including PDFs. The reported critical vulnerability involves an XML External Entity (XXE) injection vector through XFA (XML Forms Architecture) forms embedded inside PDF files. XFA is an XML-based specification used to enhance PDF forms, and when Tika processes these XFA forms, it parses the embedded XML content. Due to insufficient input validation or improper XML parser configuration, attackers can craft malicious XFA forms that include external entity references. When Tika processes these crafted PDFs, the XML parser resolves these external entities, potentially allowing attackers to read arbitrary files on the host system, perform server-side request forgery (SSRF), or cause denial of service by exhausting resources. This vulnerability leverages the XML parser's trust in external entity resolution, a common vector in XXE attacks. While no specific affected versions or patches are listed, the critical severity indicates a fundamental flaw in how Tika handles XFA content. The absence of known exploits in the wild suggests this is a newly disclosed vulnerability, but the attack vector is straightforward for adversaries capable of delivering malicious PDFs to vulnerable systems. Apache Tika is often integrated into enterprise content management systems, email gateways, and data ingestion pipelines, making this vulnerability a significant risk for organizations processing untrusted PDF files.
Potential Impact
For European organizations, the impact of this vulnerability can be severe. Confidentiality may be compromised if attackers extract sensitive files or internal configuration data via XXE. Integrity could be affected if attackers manipulate document processing outcomes or inject malicious payloads. Availability risks arise from potential denial of service attacks caused by resource exhaustion during XML parsing. Organizations in sectors such as finance, government, legal, and healthcare, which frequently handle PDF documents and rely on automated content extraction, are particularly vulnerable. The widespread use of Apache Tika in open-source and commercial products means that many European enterprises may be indirectly affected through third-party software. Additionally, the ability to exploit this vulnerability without authentication and solely through crafted PDF files increases the attack surface, especially in environments where users receive or upload documents from external sources. This vulnerability could facilitate lateral movement or data exfiltration within networks, amplifying its impact in targeted attacks.
Mitigation Recommendations
Immediate mitigation steps include disabling XFA form processing in Apache Tika configurations if this feature is not essential, thereby reducing the attack surface. Organizations should monitor vendor announcements and apply security patches promptly once they become available. Employing strict input validation and sanitization on all incoming PDF files can help detect and block malicious XFA content. Sandboxing the document processing environment limits the potential damage from exploitation by isolating Tika processes from critical system resources. Network-level controls such as restricting outbound connections from servers running Tika can prevent SSRF attacks. Additionally, implementing robust monitoring and alerting for unusual file processing activities or unexpected network requests can aid in early detection of exploitation attempts. Organizations should also review and update their document handling policies to minimize exposure to untrusted PDF files, including user training to recognize suspicious documents.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden
Critical Apache Tika Vulnerability Leads to XXE Injection
Description
The bug allows attackers to carry out XML External Entity (XXE) injection attacks via crafted XFA files inside PDF files. The post Critical Apache Tika Vulnerability Leads to XXE Injection appeared first on SecurityWeek .
AI-Powered Analysis
Technical Analysis
Apache Tika is a widely used open-source content analysis toolkit that extracts metadata and text from various document formats, including PDFs. The reported critical vulnerability involves an XML External Entity (XXE) injection vector through XFA (XML Forms Architecture) forms embedded inside PDF files. XFA is an XML-based specification used to enhance PDF forms, and when Tika processes these XFA forms, it parses the embedded XML content. Due to insufficient input validation or improper XML parser configuration, attackers can craft malicious XFA forms that include external entity references. When Tika processes these crafted PDFs, the XML parser resolves these external entities, potentially allowing attackers to read arbitrary files on the host system, perform server-side request forgery (SSRF), or cause denial of service by exhausting resources. This vulnerability leverages the XML parser's trust in external entity resolution, a common vector in XXE attacks. While no specific affected versions or patches are listed, the critical severity indicates a fundamental flaw in how Tika handles XFA content. The absence of known exploits in the wild suggests this is a newly disclosed vulnerability, but the attack vector is straightforward for adversaries capable of delivering malicious PDFs to vulnerable systems. Apache Tika is often integrated into enterprise content management systems, email gateways, and data ingestion pipelines, making this vulnerability a significant risk for organizations processing untrusted PDF files.
Potential Impact
For European organizations, the impact of this vulnerability can be severe. Confidentiality may be compromised if attackers extract sensitive files or internal configuration data via XXE. Integrity could be affected if attackers manipulate document processing outcomes or inject malicious payloads. Availability risks arise from potential denial of service attacks caused by resource exhaustion during XML parsing. Organizations in sectors such as finance, government, legal, and healthcare, which frequently handle PDF documents and rely on automated content extraction, are particularly vulnerable. The widespread use of Apache Tika in open-source and commercial products means that many European enterprises may be indirectly affected through third-party software. Additionally, the ability to exploit this vulnerability without authentication and solely through crafted PDF files increases the attack surface, especially in environments where users receive or upload documents from external sources. This vulnerability could facilitate lateral movement or data exfiltration within networks, amplifying its impact in targeted attacks.
Mitigation Recommendations
Immediate mitigation steps include disabling XFA form processing in Apache Tika configurations if this feature is not essential, thereby reducing the attack surface. Organizations should monitor vendor announcements and apply security patches promptly once they become available. Employing strict input validation and sanitization on all incoming PDF files can help detect and block malicious XFA content. Sandboxing the document processing environment limits the potential damage from exploitation by isolating Tika processes from critical system resources. Network-level controls such as restricting outbound connections from servers running Tika can prevent SSRF attacks. Additionally, implementing robust monitoring and alerting for unusual file processing activities or unexpected network requests can aid in early detection of exploitation attempts. Organizations should also review and update their document handling policies to minimize exposure to untrusted PDF files, including user training to recognize suspicious documents.
Affected Countries
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Threat ID: 6936ace781782ca67e50ab4d
Added to database: 12/8/2025, 10:48:07 AM
Last enriched: 12/8/2025, 10:48:20 AM
Last updated: 12/11/2025, 5:57:19 AM
Views: 134
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