Vulnerability-Lookup

CNVD-2026-17188

Vulnerability from cnvd - Published: 2026-04-15

Title

AnythingLLM SQL注入漏洞

Description

AnythingLLM是Mintplex开源的一个一体化AI应用程序。 AnythingLLM存在SQL注入漏洞，该漏洞源于内置SQL代理插件中getTableSchemaSql方法的table_name参数缺少对外部输入SQL语句的验证，攻击者可利用该漏洞对连接的数据库执行任意SQL命令。

Severity

高

Patch Name

AnythingLLM SQL注入漏洞的补丁

Patch Description

AnythingLLM是Mintplex开源的一个一体化AI应用程序。 AnythingLLM存在SQL注入漏洞，该漏洞源于内置SQL代理插件中getTableSchemaSql方法的table_name参数缺少对外部输入SQL语句的验证，攻击者可利用该漏洞对连接的数据库执行任意SQL命令。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://github.com/Mintplex-Labs/anything-llm/releases

Reference

https://github.com/Mintplex-Labs/anything-llm/commit/334ce052f063b53a4275518cbed3bab357695d7e

Impacted products

Name
AnythingLLM AnythingLLM <=1.11.1

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2026-32628",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-32628"
    }
  },
  "description": "AnythingLLM\u662fMintplex\u5f00\u6e90\u7684\u4e00\u4e2a\u4e00\u4f53\u5316AI\u5e94\u7528\u7a0b\u5e8f\u3002\n\nAnythingLLM\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5185\u7f6eSQL\u4ee3\u7406\u63d2\u4ef6\u4e2dgetTableSchemaSql\u65b9\u6cd5\u7684table_name\u53c2\u6570\u7f3a\u5c11\u5bf9\u5916\u90e8\u8f93\u5165SQL\u8bed\u53e5\u7684\u9a8c\u8bc1\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bf9\u8fde\u63a5\u7684\u6570\u636e\u5e93\u6267\u884c\u4efb\u610fSQL\u547d\u4ee4\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/Mintplex-Labs/anything-llm/releases",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-17188",
  "openTime": "2026-04-15",
  "patchDescription": "AnythingLLM\u662fMintplex\u5f00\u6e90\u7684\u4e00\u4e2a\u4e00\u4f53\u5316AI\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nAnythingLLM\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5185\u7f6eSQL\u4ee3\u7406\u63d2\u4ef6\u4e2dgetTableSchemaSql\u65b9\u6cd5\u7684table_name\u53c2\u6570\u7f3a\u5c11\u5bf9\u5916\u90e8\u8f93\u5165SQL\u8bed\u53e5\u7684\u9a8c\u8bc1\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bf9\u8fde\u63a5\u7684\u6570\u636e\u5e93\u6267\u884c\u4efb\u610fSQL\u547d\u4ee4\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "AnythingLLM SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "AnythingLLM AnythingLLM \u003c=1.11.1"
  },
  "referenceLink": "https://github.com/Mintplex-Labs/anything-llm/commit/334ce052f063b53a4275518cbed3bab357695d7e",
  "serverity": "\u9ad8",
  "submitTime": "2026-03-19",
  "title": "AnythingLLM SQL\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2026-32628 (GCVE-0-2026-32628)

Vulnerability from cvelistv5 – Published: 2026-03-13 20:50 – Updated: 2026-03-16 15:41

Title

AnythingLLM has SQL Injection in Built-in SQL Agent Plugin via Unsanitized table_name Parameter

Summary

AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. In 1.11.1 and earlier, a SQL injection vulnerability in the built-in SQL Agent plugin allows any user who can invoke the agent to execute arbitrary SQL commands on connected databases. The getTableSchemaSql() method in all three database connectors (MySQL, PostgreSQL, MSSQL) constructs SQL queries using direct string concatenation of the table_name parameter without sanitization or parameterization.

Severity

7.7 (High)


                        
                          CVSS:4.0/AV:N/AC:H/AT:P/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-03-16 15:28 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

GitHub_M mitre root

References

2 references

URL	Tags
https://github.com/Mintplex-Labs/anything-llm/sec…	x_refsource_CONFIRM
https://github.com/Mintplex-Labs/anything-llm/com…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Mintplex-Labs	anything-llm	Affected: <= 1.11.1

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-32628",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-03-16T15:28:24.944378Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-03-16T15:41:05.437Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "anything-llm",
          "vendor": "Mintplex-Labs",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c= 1.11.1"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. In 1.11.1 and earlier, a SQL injection vulnerability in the built-in SQL Agent plugin allows any user who can invoke the agent to execute arbitrary SQL commands on connected databases. The getTableSchemaSql() method in all three database connectors (MySQL, PostgreSQL, MSSQL) constructs SQL queries using direct string concatenation of the table_name parameter without sanitization or parameterization."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "attackComplexity": "HIGH",
            "attackRequirements": "PRESENT",
            "attackVector": "NETWORK",
            "baseScore": 7.7,
            "baseSeverity": "HIGH",
            "privilegesRequired": "LOW",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "NONE",
            "vectorString": "CVSS:4.0/AV:N/AC:H/AT:P/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
            "version": "4.0",
            "vulnAvailabilityImpact": "HIGH",
            "vulnConfidentialityImpact": "HIGH",
            "vulnIntegrityImpact": "HIGH"
          }
        }
      ],
      "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"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-03-13T20:50:15.991Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-jwjx-mw2p-5wc7",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-jwjx-mw2p-5wc7"
        },
        {
          "name": "https://github.com/Mintplex-Labs/anything-llm/commit/334ce052f063b53a4275518cbed3bab357695d7e",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/Mintplex-Labs/anything-llm/commit/334ce052f063b53a4275518cbed3bab357695d7e"
        }
      ],
      "source": {
        "advisory": "GHSA-jwjx-mw2p-5wc7",
        "discovery": "UNKNOWN"
      },
      "title": "AnythingLLM has SQL Injection in Built-in SQL Agent Plugin via Unsanitized table_name Parameter"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-32628",
    "datePublished": "2026-03-13T20:50:15.991Z",
    "dateReserved": "2026-03-12T15:29:36.558Z",
    "dateUpdated": "2026-03-16T15:41:05.437Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

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.

Detection rules are retrieved from Rulezet.

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.

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.