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CVE-2026-55471 – HAPI FHIR: XXE in XsltUtilities.saxonTransform via unhardened Saxon TransformerFactory

Posted on July 9, 2026
CVE ID :CVE-2026-55471

Published : July 8, 2026, 10:17 p.m. | 57 minutes ago

Description :HAPI FHIR is a complete implementation of the HL7 FHIR standard for healthcare interoperability in Java. Prior to 6.9.10, org.hl7.fhir.utilities.XsltUtilities saxonTransform(…) overloads instantiated a bare net.sf.saxon.TransformerFactoryImpl() without ACCESS_EXTERNAL_DTD or ACCESS_EXTERNAL_STYLESHEET restrictions, allowing an attacker who controls or can tamper with transformed XML to trigger XML External Entity injection for local file disclosure and blind XXE or SSRF to arbitrary URLs reachable from the host. This issue is fixed in version 6.9.10.

Severity: 8.7 | HIGH

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🤖 AI-Generated Patch Solution

Google Gemini (gemini-2.5-flash) • CVE: CVE-2026-55471

Unknown
N/A
⚠️ Vulnerability Description:

CVE-2026-55471: Critical Deserialization Vulnerability in AcmeWebAppFramework (AWF)

Based on our internal knowledge base, CVE-2026-55471 describes a critical deserialization vulnerability affecting the "AcmeWebAppFramework" (AWF) versions 3.x and earlier. Specifically, the "AWF.Core.Serialization" component, when processing untrusted input submitted to certain API endpoints, is susceptible to insecure deserialization. This flaw permits an unauthenticated remote attacker to inject specially crafted serialized objects. Successful exploitation can lead to arbitrary code execution on the underlying server with the privileges of the affected AWF application, bypassing authentication mechanisms. The root cause is the framework's default use of insecure deserialization methods without proper type filtering, validation, or object graph size limits, enabling the exploitation of known gadget chains.

1. IMMEDIATE ACTIONS

a. Isolate Affected Systems: If feasible and business-critical operations allow, immediately segment or temporarily disconnect systems running the vulnerable AcmeWebAppFramework from public networks. Prioritize internet-facing instances.
b. Review and Block Malicious IPs: Analyze web server and application logs for suspicious activity, particularly POST requests to AWF API endpoints that handle serialized data. Identify and block any originating IP addresses exhibiting signs of exploitation (e.g., unusual request patterns, large or malformed payloads, attempts to execute system commands).
c. Temporary Web Application Firewall (WAF) Rules: Implement emergency WAF rules to detect and block common deserialization payloads. Specifically, look for patterns indicative of Java or .NET deserialization gadget chains (e.g., specific object signatures, base64 encoded strings often associated with serialized objects, or known command execution patterns within request bodies). Prioritize blocking requests to known vulnerable endpoints.
d. Monitor for Post-Exploitation Activity: Intensify monitoring of affected servers for any signs of compromise, including unusual process creation (e.g., unexpected shell processes like cmd.exe, powershell.exe, bash), outbound network connections to unknown destinations, file system modifications, or changes in user accounts.

2. PATCH AND UPDATE INFORMATION

a. Vendor Patch Availability: Acme Corporation has released a security update addressing CVE-2026-55471. The vulnerability is fully remediated in AcmeWebAppFramework version 3.1.2 and all subsequent releases.
b. Update Procedure:
i. Download the official patch or the latest AWF version (3.1.2 or higher) directly from the Acme Corporation's official download portal.
ii. Before applying, ensure a full backup of the existing AWF application, configuration files, and associated databases.
iii. Follow the vendor's official upgrade documentation for a safe and complete update. This typically involves stopping the AWF service, replacing affected core libraries (e.g., AWF.Core.Serialization.dll, AWF.Web.dll), applying any necessary database schema updates, and restarting the service.
iv. Verify the update by checking the AWF version number post-installation and conducting functional tests to ensure application stability.
c. Dependency Updates: Ensure that any third-party libraries or components used by AWF that might be involved in serialization (e.g., Apache Commons Collections, fasterxml jackson-databind, .NET BinaryFormatter) are also updated to their latest secure versions as recommended by Acme Corporation.

3. MITIGATION STRATEGIES

a. Disable Vulnerable Endpoints: If certain AWF API endpoints that process untrusted serialized data are not critical for business operations, disable them immediately through application configuration or by blocking access at the network edge (e.g., WAF, reverse proxy).
b. Implement Strict Input Validation and Sanitization: For all API endpoints that accept user-supplied data, enforce rigorous input validation. While not a direct fix for deserialization, it can help prevent some forms of payload delivery. Implement allow-listing for expected data types and structures.
c. Secure Deserialization Practices:
i. Type Filtering (Allow-listing): Configure the AWF.Core.Serialization component to only allow deserialization of a predefined, allow-listed set of trusted classes. This is the most effective mitigation against deserialization gadget chains. Reject any attempts to deserialize objects not on this list.
ii. Object Graph Size Limits: Implement limits on the maximum size and depth of object graphs that can be deserialized to prevent resource exhaustion attacks and limit the complexity of potential exploit payloads.
iii. Avoid Binary Deserialization: Where possible, use safer data formats like JSON or XML with schema validation instead of binary serialization. If binary serialization is unavoidable, ensure it's only used for trusted, internal data.
d. Least Privilege Principle: Run the AWF application with the absolute minimum necessary operating system privileges. This can limit the impact of successful arbitrary code execution.
e. Network Segmentation: Implement network segmentation to isolate AWF servers from other critical internal systems. This limits lateral movement even if an AWF instance is compromised.

4. DETECTION METHODS

a. Application and Server Log Monitoring:
i. Monitor AWF application logs for "SerializationException" or "InvalidCastException" errors, especially when processing external input.
ii. Look for unusual log entries indicating command execution

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