CVE-2023-32321
Published: 26 May 2023
Summary
CVE-2023-32321 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Okfn Ckan. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 13.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-1463
Vulnerability details
CKAN is an open-source data management system for powering data hubs and data portals. Multiple vulnerabilities have been discovered in Ckan which may lead to remote code execution. An arbitrary file write in `resource_create` and `package_update` actions, using the `ResourceUploader`…
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object. Also reachable via `package_create`, `package_revise`, and `package_patch` via calls to `package_update`. Remote code execution via unsafe pickle loading, via Beaker's session store when configured to use the file session store backend. Potential DOS due to lack of a length check on the resource id. Information disclosure: A user with permission to create a resource can access any other resource on the system if they know the id, even if they don't have access to it. Resource overwrite: A user with permission to create a resource can overwrite any resource if they know the id, even if they don't have access to it. A user with permissions to create or edit a dataset can upload a resource with a specially crafted id to write the uploaded file in an arbitrary location. This can be leveraged to Remote Code Execution via Beaker's insecure pickle loading. All the above listed vulnerabilities have been fixed in CKAN 2.9.9 and CKAN 2.10.1. Users are advised to upgrade. There are no known workarounds for these issues.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.