RHSA-2026:58949
Vulnerability from csaf_redhat - Published: 2026-08-24 11:00 - Updated: 2026-08-25 21:33Summary
Red Hat Security Advisory: assertj-core security update
Severity
Moderate
Notes
Topic: An update for assertj-core is now available for Red Hat Enterprise Linux 9.6 Extended Update Support.
Red Hat Product Security has rated this update as having a security impact of Moderate. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.
Details: A rich and intuitive set of strongly-typed assertions to use for unit testing (either with JUnit or TestNG).
Security Fix(es):
* assertj: AssertJ: Information disclosure and denial of service via XML External Entity (XXE) (CVE-2026-24400)
For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.
Terms of Use: This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original.
A flaw was found in AssertJ. An XML External Entity (XXE) vulnerability exists in the `XmlStringPrettyFormatter` component, which is used by the `isXmlEqualTo(CharSequence)` assertion. If an application processes untrusted XML input using these methods, a remote attacker could exploit this flaw to read arbitrary local files, perform Server-Side Request Forgery (SSRF) by making the server request arbitrary URLs, or cause a Denial of Service (DoS) through entity expansion attacks.
6.1 (Medium)
Affected products
Threats
Impact
Moderate
References
12 references
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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