CVE-2026-48528 (GCVE-0-2026-48528)

Vulnerability from cvelistv5 – Published: 2026-08-14 17:56 – Updated: 2026-08-17 16:08
VLAI
Title
Metacat has an unauthenticated SQL injection vulnerability
Summary
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.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-17 15:24 UTC
CWE
  • CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
  • CWE-287 - Improper Authentication
Assigner
GitHub_M CNA under the mitre root
CNA scorecard C 72/100 over 8129 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
NCEAS metacat Affected: >= 2.0.0, < 3.4.1
guessed Create a notification for this product.
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-48528",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-08-17T15:24:26.283828Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-08-17T16:08:17.864Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "metacat",
          "vendor": "NCEAS",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 2.0.0, \u003c 3.4.1"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "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\u0027t 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."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.8,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-89",
              "description": "CWE-89: Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        },
        {
          "descriptions": [
            {
              "cweId": "CWE-287",
              "description": "CWE-287: Improper Authentication",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-08-14T18:00:46.457Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/NCEAS/metacat/security/advisories/GHSA-6g6j-wh5h-77h5",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/NCEAS/metacat/security/advisories/GHSA-6g6j-wh5h-77h5"
        }
      ],
      "source": {
        "advisory": "GHSA-6g6j-wh5h-77h5",
        "discovery": "UNKNOWN"
      },
      "title": "Metacat has an unauthenticated SQL injection vulnerability"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-48528",
    "datePublished": "2026-08-14T17:56:35.255Z",
    "dateReserved": "2026-05-21T16:18:10.619Z",
    "dateUpdated": "2026-08-17T16:08:17.864Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2026-48528",
      "date": "2026-10-30",
      "epss": "0.00475",
      "percentile": "0.41077"
    },
    "nvd": {
      "cve": {
        "affected": [
          {
            "affectedData": [
              {
                "product": "metacat",
                "vendor": "NCEAS",
                "versions": [
                  {
                    "status": "affected",
                    "version": "\u003e= 2.0.0, \u003c 3.4.1"
                  }
                ]
              }
            ],
            "source": "security-advisories@github.com"
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "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\u0027t 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."
          }
        ],
        "id": "CVE-2026-48528",
        "lastModified": "2026-09-18T20:09:01.757",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "HIGH",
                "baseScore": 9.8,
                "baseSeverity": "CRITICAL",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "HIGH",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
                "version": "3.1"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 5.9,
              "source": "security-advisories@github.com",
              "type": "Secondary"
            }
          ],
          "ssvcV203": [
            {
              "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "ssvcData": {
                "id": "CVE-2026-48528",
                "options": [
                  {
                    "exploitation": "none"
                  },
                  {
                    "automatable": "yes"
                  },
                  {
                    "technicalImpact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-08-17T15:24:26.283828Z",
                "version": "2.0.3"
              }
            }
          ]
        },
        "published": "2026-08-14T18:17:27.993",
        "references": [
          {
            "source": "security-advisories@github.com",
            "url": "https://github.com/NCEAS/metacat/security/advisories/GHSA-6g6j-wh5h-77h5"
          }
        ],
        "sourceIdentifier": "security-advisories@github.com",
        "vulnStatus": "Deferred",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-89"
              },
              {
                "lang": "en",
                "value": "CWE-287"
              }
            ],
            "source": "security-advisories@github.com",
            "type": "Secondary"
          }
        ]
      }
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Loading timeline…




    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.