CVE-2023-51467 (GCVE-0-2023-51467)
Vulnerability from cvelistv5 – Published: 2023-12-26 14:46 – Updated: 2024-08-19 07:48Title
Apache OFBiz: Pre-authentication Remote Code Execution (RCE) vulnerability
Summary
The vulnerability permits attackers to circumvent authentication processes, enabling them to remotely execute arbitrary code
Severity
No CVSS data available.
CWE
- Pre-authentication Remote Code Execution (RCE) vulnerability
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://ofbiz.apache.org/download.html | mitigation |
| https://ofbiz.apache.org/security.html | related |
| https://ofbiz.apache.org/release-notes-18.12.11.html | release-notes |
| https://issues.apache.org/jira/browse/OFBIZ-12873 | issue-tracking |
| https://lists.apache.org/thread/9tmf9qyyhgh6m052r… | vendor-advisory |
| https://lists.apache.org/thread/oj2s6objhdq72t6g2… | vendor-advisory |
| https://www.openwall.com/lists/oss-security/2023/… | |
| https://www.vicarius.io/vsociety/posts/apache-ofb… |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache OFBiz |
Affected:
0 , < 18.12.11
(custom)
|
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 9fb6a580-0923-4ee1-8bd7-e5562b47e5d5
Exploited: Yes
Timestamps
First Seen: 2025-06-30
Asserted: 2025-06-30
Scope
Notes: Apache OFBiz: Pre-authentication Remote Code Execution (RCE) vulnerability | Affected: Apache / Apache OFBiz | CVSS: 9.8 (CRITICAL) | EPSS: 0.96001 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | Apache OFBiz: Pre-authentication Remote Code Execution (RCE) vulnerability |
| Cve Id | CVE-2023-51467 |
| Vendor | Apache |
| Ghsa Id | GHSA-9699-FMX5-WVPF |
| Product | Apache OFBiz |
| Added Date | 2025-06-30T00:00:00.000Z |
| Cvss Score | 9.8 |
| Epss Score | 0.96001 |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.99875 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2023-51467 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:09 CEST
| Updated: 2026-10-02 09:09 CEST
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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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