CVE-2026-53557 (GCVE-0-2026-53557)
Vulnerability from cvelistv5 – Published: 2026-09-17 21:41 – Updated: 2026-09-17 21:41
VLAI
EPSS
VEX
Title
SQLBot: Second-Order SQL Injection via Excel Datasource Leading to Remote Command Execution
Summary
SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. Prior to 1.9.0, an authenticated user can supply a crafted sheet["tableName"] value in the Excel datasource configuration submitted through POST /api/v1/datasource/, and SQLBot stores that value without safe identifier handling. When the same datasource is later removed through DELETE /api/v1/datasource/{id}, the stored value is interpolated into datasource cleanup SQL and executed by PostgreSQL. This second-order SQL injection can invoke PostgreSQL COPY TO PROGRAM and execute arbitrary operating-system commands with the privileges of the postgres process inside the SQLBot container. This issue is fixed in version 1.9.0.
Severity
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/dataease/SQLBot/security/advis… | x_refsource_CONFIRM |
| https://github.com/dataease/SQLBot/commit/5d5a92a… | x_refsource_MISC |
| https://github.com/dataease/SQLBot/releases/tag/v1.9.0 | x_refsource_MISC |
Impacted products
{
"containers": {
"cna": {
"affected": [
{
"product": "SQLBot",
"vendor": "dataease",
"versions": [
{
"status": "affected",
"version": "\u003c 1.9.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. Prior to 1.9.0, an authenticated user can supply a crafted sheet[\"tableName\"] value in the Excel datasource configuration submitted through POST /api/v1/datasource/, and SQLBot stores that value without safe identifier handling. When the same datasource is later removed through DELETE /api/v1/datasource/{id}, the stored value is interpolated into datasource cleanup SQL and executed by PostgreSQL. This second-order SQL injection can invoke PostgreSQL COPY TO PROGRAM and execute arbitrary operating-system commands with the privileges of the postgres process inside the SQLBot container. This issue is fixed in version 1.9.0."
}
],
"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": "2026-09-17T21:41:45.155Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/dataease/SQLBot/security/advisories/GHSA-vxwj-843f-9c9g",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/dataease/SQLBot/security/advisories/GHSA-vxwj-843f-9c9g"
},
{
"name": "https://github.com/dataease/SQLBot/commit/5d5a92a5266e62da7de4a84ffc8317498497b193",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/dataease/SQLBot/commit/5d5a92a5266e62da7de4a84ffc8317498497b193"
},
{
"name": "https://github.com/dataease/SQLBot/releases/tag/v1.9.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/dataease/SQLBot/releases/tag/v1.9.0"
}
],
"source": {
"advisory": "GHSA-vxwj-843f-9c9g",
"discovery": "UNKNOWN"
},
"title": "SQLBot: Second-Order SQL Injection via Excel Datasource Leading to Remote Command Execution"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-53557",
"datePublished": "2026-09-17T21:41:45.155Z",
"dateReserved": "2026-06-09T18:13:07.263Z",
"dateUpdated": "2026-09-17T21:41:45.155Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-53557",
"date": "2026-06-14",
"epss": "0.00013",
"percentile": "0.02237"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2026-53557\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2026-09-17T22:17:00.243\",\"lastModified\":\"2026-09-17T22:17:00.243\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. Prior to 1.9.0, an authenticated user can supply a crafted sheet[\\\"tableName\\\"] value in the Excel datasource configuration submitted through POST /api/v1/datasource/, and SQLBot stores that value without safe identifier handling. When the same datasource is later removed through DELETE /api/v1/datasource/{id}, the stored value is interpolated into datasource cleanup SQL and executed by PostgreSQL. This second-order SQL injection can invoke PostgreSQL COPY TO PROGRAM and execute arbitrary operating-system commands with the privileges of the postgres process inside the SQLBot container. This issue is fixed in version 1.9.0.\"}],\"affected\":[{\"source\":\"security-advisories@github.com\",\"affectedData\":[{\"vendor\":\"dataease\",\"product\":\"SQLBot\",\"versions\":[{\"version\":\"\u003c 1.9.0\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV40\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"4.0\",\"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/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X\",\"baseScore\":7.7,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"HIGH\",\"attackRequirements\":\"PRESENT\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"vulnConfidentialityImpact\":\"HIGH\",\"vulnIntegrityImpact\":\"HIGH\",\"vulnAvailabilityImpact\":\"HIGH\",\"subConfidentialityImpact\":\"NONE\",\"subIntegrityImpact\":\"NONE\",\"subAvailabilityImpact\":\"NONE\",\"exploitMaturity\":\"NOT_DEFINED\",\"confidentialityRequirement\":\"NOT_DEFINED\",\"integrityRequirement\":\"NOT_DEFINED\",\"availabilityRequirement\":\"NOT_DEFINED\",\"modifiedAttackVector\":\"NOT_DEFINED\",\"modifiedAttackComplexity\":\"NOT_DEFINED\",\"modifiedAttackRequirements\":\"NOT_DEFINED\",\"modifiedPrivilegesRequired\":\"NOT_DEFINED\",\"modifiedUserInteraction\":\"NOT_DEFINED\",\"modifiedVulnConfidentialityImpact\":\"NOT_DEFINED\",\"modifiedVulnIntegrityImpact\":\"NOT_DEFINED\",\"modifiedVulnAvailabilityImpact\":\"NOT_DEFINED\",\"modifiedSubConfidentialityImpact\":\"NOT_DEFINED\",\"modifiedSubIntegrityImpact\":\"NOT_DEFINED\",\"modifiedSubAvailabilityImpact\":\"NOT_DEFINED\",\"Safety\":\"NOT_DEFINED\",\"Automatable\":\"NOT_DEFINED\",\"Recovery\":\"NOT_DEFINED\",\"valueDensity\":\"NOT_DEFINED\",\"vulnerabilityResponseEffort\":\"NOT_DEFINED\",\"providerUrgency\":\"NOT_DEFINED\"}}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-89\"}]}],\"references\":[{\"url\":\"https://github.com/dataease/SQLBot/commit/5d5a92a5266e62da7de4a84ffc8317498497b193\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/dataease/SQLBot/releases/tag/v1.9.0\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/dataease/SQLBot/security/advisories/GHSA-vxwj-843f-9c9g\",\"source\":\"security-advisories@github.com\"}]}}"
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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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.
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.
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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.
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