CVE-2025-66516 (GCVE-0-2025-66516)
Vulnerability from cvelistv5 – Published: 2025-12-04 16:17 – Updated: 2026-02-26 16:57
VLAI
EPSS
VEX
Title
Apache Tika core, Apache Tika parsers, Apache Tika PDF parser module: Update to CVE-2025-54988 to expand scope of artifacts affected
Summary
Critical XXE in Apache Tika tika-core (1.13-3.2.1), tika-pdf-module (2.0.0-3.2.1) and tika-parsers (1.13-1.28.5) modules on all platforms allows an attacker to carry out XML External Entity injection via a crafted XFA file inside of a PDF.
This CVE covers the same vulnerability as in CVE-2025-54988. However, this CVE expands the scope of affected packages in two ways.
First, while the entrypoint for the vulnerability was the tika-parser-pdf-module as reported in CVE-2025-54988, the vulnerability and its fix were in tika-core. Users who upgraded the tika-parser-pdf-module but did not upgrade tika-core to >= 3.2.2 would still be vulnerable.
Second, the original report failed to mention that in the 1.x Tika releases, the PDFParser was in the "org.apache.tika:tika-parsers" module.
Severity
8.4 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-15 04:56 UTC
CWE
- CWE-611 - Improper Restriction of XML External Entity Reference
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://lists.apache.org/thread/s5x3k93nhbkqzztp1… | vendor-advisory |
| https://cve.org/CVERecord?id=CVE-2025-54988 | related |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache Tika core |
Affected:
1.13 , ≤ 3.2.1
(semver)
|
guessed | |
| Apache Software Foundation | Apache Tika parsers |
Affected:
1.13 , < 2.0.0
(semver)
|
guessed | |
| Apache Software Foundation | Apache Tika PDF parser module |
Affected:
2.0.0 , ≤ 3.2.1
(semver)
|
guessed |
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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