CVE-2026-53555 (GCVE-0-2026-53555)
Vulnerability from cvelistv5 – Published: 2026-09-17 21:40 – Updated: 2026-09-17 21:40
VLAI
EPSS
VEX
Title
Stored XSS via SVG Upload
Summary
SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. Prior to 1.9.0, an authenticated uploader can submit an image/svg+xml assistant UI logo through PATCH /api/v1/system/assistant/ui, and SQLBot stores the SVG without sanitizing or validating embedded active content. SQLBot later serves the file inline from the same application origin through GET /api/v1/system/assistant/picture/{filename}. When another user loads that generated resource, JavaScript embedded in the SVG executes in the SQLBot web application context, resulting in stored cross-site scripting with access to data and actions available to the victim's session. This issue is fixed in version 1.9.0.
Severity
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/dataease/SQLBot/security/advis… | x_refsource_CONFIRM |
| https://github.com/dataease/SQLBot/pull/1160 | x_refsource_MISC |
| https://github.com/dataease/SQLBot/commit/835eefc… | 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 uploader can submit an image/svg+xml assistant UI logo through PATCH /api/v1/system/assistant/ui, and SQLBot stores the SVG without sanitizing or validating embedded active content. SQLBot later serves the file inline from the same application origin through GET /api/v1/system/assistant/picture/{filename}. When another user loads that generated resource, JavaScript embedded in the SVG executes in the SQLBot web application context, resulting in stored cross-site scripting with access to data and actions available to the victim\u0027s session. This issue is fixed in version 1.9.0."
}
],
"metrics": [
{
"cvssV4_0": {
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"baseScore": 5.1,
"baseSeverity": "MEDIUM",
"privilegesRequired": "LOW",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "LOW",
"subIntegrityImpact": "LOW",
"userInteraction": "PASSIVE",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:L/VI:L/VA:N/SC:L/SI:L/SA:N",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "LOW"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-79",
"description": "CWE-79: Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-17T21:40:48.271Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/dataease/SQLBot/security/advisories/GHSA-v23m-5pvq-xcgx",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/dataease/SQLBot/security/advisories/GHSA-v23m-5pvq-xcgx"
},
{
"name": "https://github.com/dataease/SQLBot/pull/1160",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/dataease/SQLBot/pull/1160"
},
{
"name": "https://github.com/dataease/SQLBot/commit/835eefcb39b595248ea006f3cfce445d2f49167e",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/dataease/SQLBot/commit/835eefcb39b595248ea006f3cfce445d2f49167e"
},
{
"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-v23m-5pvq-xcgx",
"discovery": "UNKNOWN"
},
"title": "Stored XSS via SVG Upload"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-53555",
"datePublished": "2026-09-17T21:40:48.271Z",
"dateReserved": "2026-06-09T18:13:07.263Z",
"dateUpdated": "2026-09-17T21:40:48.271Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-53555",
"date": "2026-06-14",
"epss": "0.00024",
"percentile": "0.06927"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2026-53555\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2026-09-17T22:16:59.917\",\"lastModified\":\"2026-09-17T22:16:59.917\",\"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 uploader can submit an image/svg+xml assistant UI logo through PATCH /api/v1/system/assistant/ui, and SQLBot stores the SVG without sanitizing or validating embedded active content. SQLBot later serves the file inline from the same application origin through GET /api/v1/system/assistant/picture/{filename}. When another user loads that generated resource, JavaScript embedded in the SVG executes in the SQLBot web application context, resulting in stored cross-site scripting with access to data and actions available to the victim\u0027s session. 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:L/AT:N/PR:L/UI:P/VC:L/VI:L/VA:N/SC:L/SI:L/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\":5.1,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"attackRequirements\":\"NONE\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"PASSIVE\",\"vulnConfidentialityImpact\":\"LOW\",\"vulnIntegrityImpact\":\"LOW\",\"vulnAvailabilityImpact\":\"NONE\",\"subConfidentialityImpact\":\"LOW\",\"subIntegrityImpact\":\"LOW\",\"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-79\"}]}],\"references\":[{\"url\":\"https://github.com/dataease/SQLBot/commit/835eefcb39b595248ea006f3cfce445d2f49167e\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/dataease/SQLBot/pull/1160\",\"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-v23m-5pvq-xcgx\",\"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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