CVE-2026-11873
Received Received - Intake

Dogtag CA REST Endpoint Stack Trace Exposure

Publication date: 2026-09-01

Last updated on: 2026-09-01

Assigner: redhat-SADP

Description
An Apache-proxied Dogtag CA REST endpoint exposed by IdM (POST /ca/rest/certrequests) returns HTTP 500 with internal Java stack traces for unauthenticated malformed requests. The same unauthenticated error path emits large multi-line stack traces into the CA debug log, creating a log-amplification resource exhaustion vector (disk growth and I/O contention) without requiring authentication.

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Meta Information

Published
2026-09-01
Last Modified
2026-09-01
Generated
2026-09-01
AI Q&A
2026-09-01
EPSS Evaluated
N/A
NVD
CVE-2026-11873
EUVD
EUVD-2026-69037

Affected Vendors & Products

Showing 2 associated CPEs
Vendor Product Version / Range
redhat dogtag_pki *
redhat pki_core *

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-209 The product generates an error message that includes sensitive information about its environment, users, or associated data.

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Executive Summary

CVE-2026-11873 is a vulnerability in the Dogtag CA REST endpoint exposed by IdM. When an unauthenticated user sends a malformed request to the POST /ca/rest/certrequests path, the server returns an HTTP 500 error with internal Java stack traces. These stack traces are also logged into the CA debug log, causing excessive log growth and I/O contention.

Detection Guidance

Monitor HTTP 500 errors on the POST /ca/rest/certrequests endpoint and check for large multi-line stack traces in CA debug logs. Look for rapid log growth or I/O spikes.

Impact Analysis

This vulnerability can lead to resource exhaustion through rapid log growth and increased disk I/O. Attackers can exploit it to cause denial-of-service conditions by overwhelming the system with excessive logging. Additionally, internal stack traces may expose sensitive information like class names.

Compliance Impact

This vulnerability primarily impacts availability and confidentiality by causing excessive log growth and I/O contention through debug log amplification. While it does not directly expose sensitive data like passwords, it may reveal internal system details (e.g., class names, stack traces) that could aid further attacks. For GDPR, this could risk unauthorized data exposure if logs contain personal data. For HIPAA, excessive logging may strain system resources, potentially disrupting critical healthcare operations.

Mitigation Strategies

Implement early authentication checks for the endpoint, return simple 4xx errors for malformed requests without stack traces, and adjust logging to prevent log amplification.

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