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SQLBot: RCE via SQL Injection in Excel Upload Endpoint

Type: advisorySources: OSV

SQLBot is an intelligent data query system based on a large language model and RAG. Versions prior to 1.7.0 contain a critical SQL Injection vulnerability in the /api/v1/datasource/uploadExcel endpoint that enables Remote Code Execution (RCE), allowing any authenticated user (even the lowest-privileged) to fully compromise the backend server. The root cause is twofold: Excel Sheet names are concatenated directly into PostgreSQL table names without sanitization (datasource.py#L351), and those table names are embedded into COPY SQL statements via f-strings instead of parameterized queries (datasource.py#L385-L388). An attacker can bypass the 31-character Sheet name limit using a two-stage technique—first uploading a normal file whose data rows contain shell commands, then uploading an XML-tampered file whose Sheet name injects a TO PROGRAM 'sh' clause into the SQL. Confirmed impacts include arbitrary command execution as the postgres user (uid=999), sensitive file exfiltration (e.g., /etc/passwd, /etc/shadow), and complete PostgreSQL database takeover. This issue has been fixed in version 1.7.0.

Products
Not specified
Affected versions
Not specified
Fixed versions
Not specified
CVEs
CVE-2026-32950
Confirmed fixed CVEs
Not specified
Updated in this feed
5 Nov 2026, 02:05 UTC · Revision 1

Source evidence

SQLBot: RCE via SQL Injection in Excel Upload Endpoint

core-osv · Original source

Published 20 Mar 2026, 04:14 UTC

SQLBot is an intelligent data query system based on a large language model and RAG. Versions prior to 1.7.0 contain a critical SQL Injection vulnerability in the /api/v1/datasource/uploadExcel endpoint that enables Remote Code Execution (RCE), allowing any authenticated user (even the lowest-privileged) to fully compromise the backend server. The root cause is twofold: Excel Sheet names are concatenated directly into PostgreSQL table names without sanitization (datasource.py#L351), and those table names are embedded into COPY SQL statements via f-strings instead of parameterized queries (datasource.py#L385-L388). An attacker can bypass the 31-character Sheet name limit using a two-stage technique—first uploading a normal file whose data rows contain shell commands, then uploading an XML-tampered file whose Sheet name injects a TO PROGRAM 'sh' clause into the SQL. Confirmed impacts include arbitrary command execution as the postgres user (uid=999), sensitive file exfiltration (e.g., /etc/passwd, /etc/shadow), and complete PostgreSQL database takeover. This issue has been fixed in version 1.7.0.

osv:CVE-2026-32950
Complete source record
{
  "id": "e74044e5589f6fd6cca95392916cf02691ce4636ba769929b19ed7ad61e675c3",
  "url": "https://osv.dev/vulnerability/CVE-2026-32950",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "SQLBot: RCE via SQL Injection in Excel Upload Endpoint",
    "summary": "SQLBot is an intelligent data query system based on a large language model and RAG. Versions prior to 1.7.0 contain a critical SQL Injection vulnerability in the /api/v1/datasource/uploadExcel endpoint that enables Remote Code Execution (RCE), allowing any authenticated user (even the lowest-privileged) to fully compromise the backend server. The root cause is twofold: Excel Sheet names are concatenated directly into PostgreSQL table names without sanitization (datasource.py#L351), and those table names are embedded into COPY SQL statements via f-strings instead of parameterized queries (datasource.py#L385-L388). An attacker can bypass the 31-character Sheet name limit using a two-stage technique—first uploading a normal file whose data rows contain shell commands, then uploading an XML-tampered file whose Sheet name injects a TO PROGRAM 'sh' clause into the SQL. Confirmed impacts include arbitrary command execution as the postgres user (uid=999), sensitive file exfiltration (e.g., /etc/passwd, /etc/shadow), and complete PostgreSQL database takeover. This issue has been fixed in version 1.7.0.",
    "evidence": "osv:CVE-2026-32950",
    "products": [],
    "severity": "high",
    "structured": {
      "id": "CVE-2026-32950",
      "aliases": [
        "CVE-2026-32950",
        "GHSA-7hww-8rj5-7rmm"
      ],
      "metrics": [
        {
          "type": "CVSS_V4",
          "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "repo": "https://github.com/dataease/sqlbot",
              "type": "GIT",
              "events": [
                {
                  "introduced": "0"
                },
                {
                  "fixed": "22e66c490fc67f77b94d71dfdb048270e9b6641a"
                },
                {
                  "fixed": "39f2203cec4bb4b0aa541710733fe7608e3d3c48"
                }
              ],
              "database_specific": {
                "extracted_events": [
                  {
                    "cpe": "cpe:2.3:a:fit2cloud:sqlbot:*:*:*:*:*:*:*:*",
                    "range": [
                      {
                        "introduced": "0"
                      },
                      {
                        "fixed": "1.7.0"
                      }
                    ],
                    "source": "CPE_RANGE"
                  },
                  {
                    "range": [
                      {
                        "fixed": "39f2203cec4bb4b0aa541710733fe7608e3d3c48"
                      }
                    ],
                    "source": "REFERENCES_COMMIT"
                  },
                  {
                    "range": [
                      {
                        "fixed": "22e66c490fc67f77b94d71dfdb048270e9b6641a"
                      }
                    ],
                    "source": "REFERENCES_TAG",
                    "original_tag": "v1.7.0"
                  }
                ]
              }
            }
          ],
          "versions": [
            "v1.6.0",
            "v1.5.0",
            "v1.4.0",
            "v1.3.0",
            "v1.2.1",
            "v1.2.0",
            "v1.1.4",
            "v1.1.3",
            "v1.1.2",
            "v1.1.0",
            "v1.0.0"
          ],
          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-32950.json"
          }
        }
      ],
      "modified": "2026-10-28T02:30:42.063975738Z",
      "provider": "osv",
      "references": [
        "https://github.com/dataease/SQLBot/releases/tag/v1.7.0",
        "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/32xxx/CVE-2026-32950.json",
        "https://github.com/dataease/SQLBot/security/advisories/GHSA-7hww-8rj5-7rmm",
        "https://nvd.nist.gov/vuln/detail/CVE-2026-32950",
        "https://github.com/dataease/SQLBot/commit/39f2203cec4bb4b0aa541710733fe7608e3d3c48"
      ],
      "provider_metadata": {
        "cwe_ids": [
          "CWE-78",
          "CWE-89"
        ],
        "cna_assigner": "GitHub_M",
        "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/32xxx/CVE-2026-32950.json"
      }
    },
    "related_cves": [
      {
        "value": "CVE-2026-32950",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 509347,
  "published_at": "2026-03-20T04:14:45.64+00:00"
}