CVE-2026-108553 (GCVE-0-2026-108553)
Vulnerability from cvelistv5 – Published: 2026-10-10 14:49 – Updated: 2026-10-10 14:49
VLAI
EPSS
VEX
Title
OpenRefine through 3.10.1 CSRF to RCE via get-rows Command
Summary
OpenRefine through 3.10.1 contains a cross-site request forgery vulnerability in the get-rows command that allows remote attackers to execute Jython facet expressions. Attackers can lure a user to a malicious page issuing a cross-origin GET with a crafted engine parameter, executing operating system commands as the OpenRefine user.
Severity
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/OpenRefine/OpenRefine/issues/7999 | issue-tracking |
| https://github.com/OpenRefine/OpenRefine | product |
| https://github.com/OpenRefine/OpenRefine/blob/bde… | technical-description |
| https://github.com/OpenRefine/OpenRefine/blob/bde… | technical-description |
| https://github.com/OpenRefine/OpenRefine/blob/bde… | technical-description |
| https://www.vulncheck.com/advisories/openrefine-t… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| OpenRefine | OpenRefine |
Affected:
0 , ≤ 3.10.1
(semver)
cpe:2.3:a:openrefine:openrefine:*:*:*:*:*:*:*:* |
Date Public
2026-10-01 00:00
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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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