FKIE_CVE-2026-7206
Vulnerability from fkie_nvd - Published: 2026-04-28 01:16 - Updated: 2026-07-24 08:10
Severity
Summary
A security flaw has been discovered in dubydu sqlite-mcp up to 0.1.0. The affected element is the function extract_to_json of the file src/entry.py. Performing a manipulation of the argument output_filename results in sql injection. Remote exploitation of the attack is possible. The exploit has been released to the public and may be used for attacks. The patch is named a5580cb992f4f6c308c9ffe6442b2e76709db548. Applying a patch is the recommended action to fix this issue.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "sqlite-mcp",
"vendor": "dubydu",
"versions": [
{
"status": "affected",
"version": "0.1.0"
}
]
}
],
"source": "cna@vuldb.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A security flaw has been discovered in dubydu sqlite-mcp up to 0.1.0. The affected element is the function extract_to_json of the file src/entry.py. Performing a manipulation of the argument output_filename results in sql injection. Remote exploitation of the attack is possible. The exploit has been released to the public and may be used for attacks. The patch is named a5580cb992f4f6c308c9ffe6442b2e76709db548. Applying a patch is the recommended action to fix this issue."
},
{
"lang": "es",
"value": "Una falla de seguridad ha sido descubierta en dubydu sqlite-mcp hasta 0.1.0. El elemento afectado es la funci\u00f3n extract_to_json del archivo src/entry.py. Realizar una manipulaci\u00f3n del argumento output_filename resulta en inyecci\u00f3n SQL. La explotaci\u00f3n remota del ataque es posible. El exploit ha sido liberado al p\u00fablico y puede ser usado para ataques. El parche se llama a5580cb992f4f6c308c9ffe6442b2e76709db548. Aplicar un parche es la acci\u00f3n recomendada para solucionar este problema."
}
],
"id": "CVE-2026-7206",
"lastModified": "2026-07-24T08:10:00.150",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "cna@vuldb.com",
"type": "Secondary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.4,
"source": "cna@vuldb.com",
"type": "Secondary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "PROOF_OF_CONCEPT",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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",
"version": "4.0",
"vulnAvailabilityImpact": "LOW",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "cna@vuldb.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-7206",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-28T14:34:53.925747Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-04-28T01:16:02.150",
"references": [
{
"source": "cna@vuldb.com",
"url": "https://github.com/dubydu/sqlite-mcp/"
},
{
"source": "cna@vuldb.com",
"url": "https://github.com/dubydu/sqlite-mcp/commit/a5580cb992f4f6c308c9ffe6442b2e76709db548"
},
{
"source": "cna@vuldb.com",
"url": "https://github.com/dubydu/sqlite-mcp/issues/1"
},
{
"source": "cna@vuldb.com",
"url": "https://github.com/dubydu/sqlite-mcp/pull/2"
},
{
"source": "cna@vuldb.com",
"url": "https://vuldb.com/submit/802081"
},
{
"source": "cna@vuldb.com",
"url": "https://vuldb.com/vuln/359806"
},
{
"source": "cna@vuldb.com",
"url": "https://vuldb.com/vuln/359806/cti"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/dubydu/sqlite-mcp/issues/1"
}
],
"sourceIdentifier": "cna@vuldb.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-74"
},
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "cna@vuldb.com",
"type": "Secondary"
}
]
}
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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.
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.
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