Metacat is data repository software that helps researchers preserve, share, and discover data. Metacat versions 2.0.0 through 3.4.0 contain an unauthenticated SQL injection vulnerability in the /cn/v1/object and /cn/v2/object REST API endpoints due to unsanitized user input that can be passed through to the backend SQL database. The nodeId parameter can be modified to inject SQL commands, and the results are returned in error messages. Metacat appends the user-supplied data into the sql query without sanitization or parameterization. This allows extraction of arbitrary data from the underlying PostgresQL database, fully exposing protected information to the attacker. This is accomplished by leveraging the error reporting mechanisms in Metacat, where SQL error responses are mirrored back to the caller in the XML error message returned by Metacat. One approach, for example, is to use the PostgreSQL CAST function to generate an error with the results of an arbitrary subquery, which is then injected into the XML error message returned by Metacat. Attackers do not need to be authenticated to execute the attack. In addition, arbitrary SQL statements that insert, update, and delete data in the Metacat database can be executed, resulting in full compromise of all data in the database. Full proof of concept attacks have been developed and verified for these vulnerabilities. The impact of this vulnerability is critical for Metacat deployments in the DataONE network where information from the database can be exfiltrated, added, changed, or deleted. This includes management information about the data catalog, access log information about who accessed data, identifying information about individuals including their ORCID identifier and client IP address, access control information about who should be able to access and modify data, and other critical internals of the data system. This sql injection vulnerability was remediated fully in Metacat version 3.4.1. If upgrading to Metacat 3.4.1 isn't immediately possible, most deployments can mitigate the issue by disabling the /cn REST endpoints in the webapp deployment. This API is not needed or used by member repositories in the DataONE network, as it is only used by the DataONE Coordinating Node deployments. Consequently, this API can be disabled without reduction of functionality for most deployments. To disable the vulnerable endpoints, simply remove the servlet and servlet-mapping for the /cn endpoints in the servlet engine associated with the two servlets, edu.ucsb.nceas.metacat.restservice.v1.CNRestServlet and edu.ucsb.nceas.metacat.restservice.v2.CNRestServlet. For example, in Tomcat, remove the relevant servlet-mapping elements from the application web.xml file in Metacat.
CVE-2026-48528
“—” beside the score: it is equal to the CVSS score beside it.
This critical-severity CVE scores 9.8 under a secondary CVSS source (NVD's own analysis pending). EPSS exploit probability: 0.5% (39th percentile of EPSS-scored CVEs). No GitHub Security Advisory CVSS is on record for this CVE.
- High severity, but no confirmed exploitation yet
No fix is confirmed yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for the fix.
The CVE record's description, written by its CNA (GitHub, Inc.), states the affected versions: "Metacat versions 2.0.0 through 3.4.0 contain an unauthenticated SQL injection vulnerability in the `/cn/v1/object` and `/cn/v2/object` REST API endpoints due to unsanitized user input that can be passed through to the b…" No release containing a fix is confirmed on record.
- CVSS v3
- 9.8
- EG Score
- 9.8CRITICALmedium confidence
- EG Risk
- 59EG Risk 59/100
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computed (value × EchelonGraph’s weight)Severity98% × 45%The EG Score, 9.8 of 10.Exploitation0.5% × 40%FIRST EPSS: the 30-day exploitation probability when EchelonGraph scored this CVE.Automatability100% × 15%CISA's SSVC Automatable value: yes (Vulnrichment).SSVC (CISA's decision table, applied by EchelonGraph): Track at low or medium mission impact; Attend at high (mission-essential systems).Exploitation none (CISA Vulnrichment) · Automatable yes (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). All three are CISA's SSVC values (Vulnrichment). EchelonGraph applied CISA's decision table to them; CISA publishes SSVC inputs and the table, not a decision for each CVE.Action: No fix is confirmed yet. Restrict network exposure of the affected system within your standard update timelines at low or medium mission impact and sooner than that at high, and watch for a fix. - EPSS PROB
- 0.5%
- EPSS %ILE
- 39th
- KEV
- Not listed
SSVC (CISA's decision table, applied by EchelonGraph)Track at low or medium mission impact; Attend at high (mission-essential systems).
No fix is confirmed yet. Restrict network exposure of the affected system within your standard update timelines at low or medium mission impact and sooner than that at high, and watch for a fix.
Exploitation none (CISA Vulnrichment) · Automatable yes (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). All three are CISA's SSVC values (Vulnrichment). EchelonGraph applied CISA's decision table to them; CISA publishes SSVC inputs and the table, not a decision for each CVE. Mission impact is CISA's Mission & Well-being decision point, and only you can judge it. CISA's table makes it high when Mission Prevalence is Essential — the vulnerable component "directly provides capabilities that constitute at least one MEF for at least one entity" (MEF: mission essential function) — or when Public Well-Being Impact is Irreversible: "multiple fatalities are likely", the cyber-physical system "is likely lost or destroyed", "extreme or serious externalities" are imposed on other parties, or social systems such as elections or the financial grid "are destabilized and potentially collapse". CISA's decision table
BOD 26-04 (CISA's remediation timeline, Table 1)3 days if the affected system is publicly exposed; 60 days if it is not.
In CISA KEV no (CISA's KEV catalog) · Automatable yes (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). Whether your system is publicly exposed is yours to answer. BOD 26-04 binds US Federal Civilian Executive Branch agencies; for anyone else it is CISA's published timeline, a reference rather than an obligation. The directive · how EchelonGraph applies it
Published
August 14, 2026
Last Modified
September 18, 2026
Advisory Details (1)
Auto-updated Oct 9, 2026unauthenticated SQL injection vulnerability for Metacat · Advisory · NCEAS/metacat · GitHub
https://github.com/NCEAS/metacat/security/advisories/GHSA-6g6j-wh5h-77h5Weakness Classification(2)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 13× in last 7d / 50× in last 30d)
Each row is a time one of our pipelines fetched, updated or re-scored this CVE. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. An arrow marks a change the record states ("CVSS v3 → 9.1"); EPSS and GHSA rows show the values recorded at that time, not what changed (EPSS values are rounded; hover one for the exact figures). Most recent first.
Showing the most recent 100 of 107 refreshes on record for this CVE.
A repeat, a row identical to one the same pipeline wrote less than 10 seconds earlier, is not a separate refresh and is not counted. None are among the latest 100 rows. The 7 oldest rows on record are not shown and were not checked, so the counts can still include repeats.
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Related CVEs(same CWE)
Same CWE
10 shownCWE-287 · CWE-89
Frequently asked(5)
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