veraPDF Validation XXE via Rich Text
Description
An XML External Entity Injection (CWE-611) vulnerability in veraPDF allows a remote attacker to read arbitrary files on the server file system and perform Server-Side Request Forgery by submitting a crafted PDF containing a malicious rich-text (/RC or /RV) entry. This affects all current versions of veraPDF-validation.
The vulnerability resides in veraPDF-validation validation-model/src/main/java/org/verapdf/gf/model/tools/DictionaryKeysHelper.java within the getRichTextStringOrStreamEntryStringRepresentation() method. This helper extracts the XHTML rich-text body from a PDF dictionary string or stream and parses it with a DOM parser to return the concatenated text content.
The vulnerability stems from two combined issues:
<!DOCTYPE … SYSTEM "…"> and <!ENTITY … SYSTEM "…"> declarations.getAllNodeText() recursively concatenates every text node in the document and returns it as the model property value. This means the expanded contents of any external entity are reflected directly back into the validation report.This impacts all current releases of the veraPDF validation-model module.
Successful exploitation requires only that the target validate an attacker-supplied PDF. A single markup annotation with a crafted /RC string is sufficient.
Harden the DocumentBuilderFactory in validation-model/src/main/java/org/verapdf/gf/model/tools/DictionaryKeysHelper.java per the OWASP XXE Prevention Cheat Sheet to disallow DOCTYPE outright.
This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. Rated impact: confidentiality high, integrity none, availability none.
The score comes from this vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
CVE-2026-54078 is classified as CWE-611: XML External Entity Reference (XXE). An XML parser resolves external entities, letting a crafted document read local files or reach internal services.
CVE-2026-54078 is recorded against 3 packages.
Published on 29 July 2026. No public exploit is currently recorded for this entry. Record sourced from NVD.
github.com (Web)
github.com (Package)
org.verapdf:validation-model has other advisories on record. If you are patching this one, these are worth checking on the same host:
These advisories are the same class of weakness (CWE-611: XML External Entity Reference (XXE)) in other software:
Details
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| org.verapdf:validation-model | 1.31.1 | 1.31.71 |
| org.verapdf:validation-model-jakarta | 1.31.1 | 1.31.71 |
| unknown | — | — |
References
Similar Threats
Site Security Check
CVE-2026-54078 is rated CVSS 8.0 High. BotEraser scans your installation against known CVE records and tells you whether this vulnerability applies to the versions you actually run.
Scan My Site Free →No credit card required · Results in minutes
ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.
Stay up to date with the latest from Boteraser.
We use cookies to improve your experience on our site. By using our site, you consent to cookies.
Manage your cookie preferences below:
Essential cookies enable basic functions and are necessary for the proper function of the website.
CloudFlare provides web performance and security solutions, enhancing site speed and protecting against threats.
Service URL: developers.cloudflare.com (opens in a new window)
These cookies are needed for adding comments on this website.
These cookies are used for managing login functionality on this website.
Statistics cookies collect information anonymously. This information helps us understand how visitors use our website.
Google Analytics is a powerful tool that tracks and analyzes website traffic for informed marketing decisions.
Service URL: policies.google.com (opens in a new window)
You can find more information in our Cookie Policy and Privacy Policy.