FKIE_CVE-2026-34612
Vulnerability from fkie_nvd - Published: 2026-04-03 23:17 - Updated: 2026-07-24 22:10
Severity
9.9 (Critical) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
9.0 (Critical) - CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H
9.0 (Critical) - CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H
Summary
Kestra is an open-source, event-driven orchestration platform. Prior to version 1.3.7, Kestra (default docker-compose deployment) contains a SQL Injection vulnerability that leads to Remote Code Execution (RCE) in the following endpoint "GET /api/v1/main/flows/search". Once a user is authenticated, simply visiting a crafted link is enough to trigger the vulnerability. The injected payload is executed by PostgreSQL using COPY ... TO PROGRAM ..., which in turn runs arbitrary OS commands on the host. This issue has been patched in version 1.3.7.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/kestra-io/kestra/commit/3926762795df8ad3e03924b370c51832ed3a21d3 | Patch | |
| security-advisories@github.com | https://github.com/kestra-io/kestra/releases/tag/v1.3.7 | Product, Release Notes | |
| security-advisories@github.com | https://github.com/kestra-io/kestra/security/advisories/GHSA-365w-2m69-mp9x | Exploit, Mitigation, Vendor Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://github.com/kestra-io/kestra/security/advisories/GHSA-365w-2m69-mp9x | Exploit, Mitigation, Vendor Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "kestra",
"vendor": "kestra-io",
"versions": [
{
"status": "affected",
"version": "\u003c 1.3.7"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:kestra:kestra:*:*:*:*:*:*:*:*",
"matchCriteriaId": "0EAC1A4D-3CFB-44C4-9EC1-3D27B2781397",
"versionEndExcluding": "1.3.7",
"vulnerable": true
}
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"negate": false,
"operator": "OR"
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Kestra is an open-source, event-driven orchestration platform. Prior to version 1.3.7, Kestra (default docker-compose deployment) contains a SQL Injection vulnerability that leads to Remote Code Execution (RCE) in the following endpoint \"GET /api/v1/main/flows/search\". Once a user is authenticated, simply visiting a crafted link is enough to trigger the vulnerability. The injected payload is executed by PostgreSQL using COPY ... TO PROGRAM ..., which in turn runs arbitrary OS commands on the host. This issue has been patched in version 1.3.7."
},
{
"lang": "es",
"value": "Kestra es una plataforma de orquestaci\u00f3n de c\u00f3digo abierto y basada en eventos. Antes de la versi\u00f3n 1.3.7, Kestra (despliegue predeterminado de docker-compose) contiene una vulnerabilidad de inyecci\u00f3n SQL que conduce a ejecuci\u00f3n remota de c\u00f3digo (RCE) en el siguiente endpoint \u0027GET /api/v1/main/flows/search\u0027. Una vez que un usuario est\u00e1 autenticado, basta con visitar un enlace manipulado para activar la vulnerabilidad. La carga \u00fatil inyectada es ejecutada por PostgreSQL utilizando COPY ... TO PROGRAM ..., lo que a su vez ejecuta comandos arbitrarios del sistema operativo en el host. Este problema ha sido parcheado en la versi\u00f3n 1.3.7."
}
],
"id": "CVE-2026-34612",
"lastModified": "2026-07-24T22:10:00.140",
"metrics": {
"cvssMetricV31": [
{
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
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"exploitabilityScore": 3.1,
"impactScore": 6.0,
"source": "security-advisories@github.com",
"type": "Secondary"
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{
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.0,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.3,
"impactScore": 6.0,
"source": "nvd@nist.gov",
"type": "Primary"
}
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"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
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"options": [
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"exploitation": "poc"
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{
"automatable": "no"
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{
"technicalImpact": "total"
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],
"role": "CISA Coordinator",
"timestamp": "2026-04-06T16:10:07.676305Z",
"version": "2.0.3"
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"published": "2026-04-03T23:17:04.587",
"references": [
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"source": "security-advisories@github.com",
"tags": [
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"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-89"
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],
"source": "security-advisories@github.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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