CVE-2026-31799 (GCVE-0-2026-31799)
Vulnerability from cvelistv5 – Published: 2026-03-30 19:42 – Updated: 2026-03-30 20:17
VLAI
EPSS
VEX
Title
Tautulli: SQL Injection in get_home_stats API endpoint via unsanitised filter parameters
Summary
Tautulli is a Python based monitoring and tracking tool for Plex Media Server. From version 2.14.2 to before version 2.17.0 for parameters "before" and "after" and from version 2.1.0-beta to before version 2.17.0 for parameters "section_id" and "user_id", the /api/v2?cmd=get_home_stats endpoint passes the section_id, user_id, before, and after query parameters directly into SQL via Python %-string formatting without parameterization. An attacker who holds the Tautulli admin API key can inject arbitrary SQL and exfiltrate any value from the Tautulli SQLite database via boolean-blind inference. This issue has been patched in version 2.17.0.
Severity
4.9 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-30 20:17 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/Tautulli/Tautulli/security/adv… | x_refsource_CONFIRM |
| https://github.com/Tautulli/Tautulli/releases/tag… | x_refsource_MISC |
Impacted products
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-31799",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-30T20:17:27.621057Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-03-30T20:17:35.823Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "Tautulli",
"vendor": "Tautulli",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.1.0-beta, \u003c 2.17.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Tautulli is a Python based monitoring and tracking tool for Plex Media Server. From version 2.14.2 to before version 2.17.0 for parameters \"before\" and \"after\" and from version 2.1.0-beta to before version 2.17.0 for parameters \"section_id\" and \"user_id\", the /api/v2?cmd=get_home_stats endpoint passes the section_id, user_id, before, and after query parameters directly into SQL via Python %-string formatting without parameterization. An attacker who holds the Tautulli admin API key can inject arbitrary SQL and exfiltrate any value from the Tautulli SQLite database via boolean-blind inference. This issue has been patched in version 2.17.0."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
}
}
],
"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"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-20",
"description": "CWE-20: Improper Input Validation",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-03-30T19:42:56.714Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/Tautulli/Tautulli/security/advisories/GHSA-g47q-8j8w-m63q",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/Tautulli/Tautulli/security/advisories/GHSA-g47q-8j8w-m63q"
},
{
"name": "https://github.com/Tautulli/Tautulli/releases/tag/v2.17.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/Tautulli/Tautulli/releases/tag/v2.17.0"
}
],
"source": {
"advisory": "GHSA-g47q-8j8w-m63q",
"discovery": "UNKNOWN"
},
"title": "Tautulli: SQL Injection in get_home_stats API endpoint via unsanitised filter parameters"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-31799",
"datePublished": "2026-03-30T19:42:56.714Z",
"dateReserved": "2026-03-09T16:33:42.913Z",
"dateUpdated": "2026-03-30T20:17:35.823Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-31799",
"date": "2026-10-01",
"epss": "0.00427",
"percentile": "0.34599"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "Tautulli",
"vendor": "Tautulli",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.1.0-beta, \u003c 2.17.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:tautulli:tautulli:*:*:*:*:*:*:*:*",
"matchCriteriaId": "0E44FE57-B329-4236-9FBB-277FF2A9FB00",
"versionEndExcluding": "2.17.0",
"versionStartIncluding": "2.1.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Tautulli is a Python based monitoring and tracking tool for Plex Media Server. From version 2.14.2 to before version 2.17.0 for parameters \"before\" and \"after\" and from version 2.1.0-beta to before version 2.17.0 for parameters \"section_id\" and \"user_id\", the /api/v2?cmd=get_home_stats endpoint passes the section_id, user_id, before, and after query parameters directly into SQL via Python %-string formatting without parameterization. An attacker who holds the Tautulli admin API key can inject arbitrary SQL and exfiltrate any value from the Tautulli SQLite database via boolean-blind inference. This issue has been patched in version 2.17.0."
},
{
"lang": "es",
"value": "Tautulli es una herramienta de monitoreo y seguimiento basada en Python para Plex Media Server. Desde la versi\u00f3n 2.14.2 hasta antes de la versi\u00f3n 2.17.0 para los par\u00e1metros \u0027before\u0027 y \u0027after\u0027, y desde la versi\u00f3n 2.1.0-beta hasta antes de la versi\u00f3n 2.17.0 para los par\u00e1metros \u0027section_id\u0027 y \u0027user_id\u0027, el endpoint /api/v2?cmd=get_home_stats pasa los par\u00e1metros de consulta section_id, user_id, before y after directamente a SQL a trav\u00e9s del formato de cadena % de Python sin parametrizaci\u00f3n. Un atacante que posee la clave API de administrador de Tautulli puede inyectar SQL arbitrario y exfiltrar cualquier valor de la base de datos SQLite de Tautulli mediante inferencia booleana a ciegas. Este problema ha sido parcheado en la versi\u00f3n 2.17.0."
}
],
"id": "CVE-2026-31799",
"lastModified": "2026-06-17T10:34:29.150",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-31799",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-30T20:17:27.621057Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-03-30T20:16:21.350",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Release Notes"
],
"url": "https://github.com/Tautulli/Tautulli/releases/tag/v2.17.0"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Mitigation",
"Vendor Advisory"
],
"url": "https://github.com/Tautulli/Tautulli/security/advisories/GHSA-g47q-8j8w-m63q"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
},
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2026-03-31T22:58:15+00:00",
"cve": "CVE-2026-31799",
"id": "CVE-2026-31799",
"initial_release_date": "2026-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "Tautulli: SQL Injection in get_home_stats API endpoint via unsanitised filter parameters",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-31799.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-31799",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-30T20:17:27.621057Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-03-30T20:17:31.625Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "Tautulli",
"vendor": "Tautulli",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.1.0-beta, \u003c 2.17.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Tautulli is a Python based monitoring and tracking tool for Plex Media Server. From version 2.14.2 to before version 2.17.0 for parameters \"before\" and \"after\" and from version 2.1.0-beta to before version 2.17.0 for parameters \"section_id\" and \"user_id\", the /api/v2?cmd=get_home_stats endpoint passes the section_id, user_id, before, and after query parameters directly into SQL via Python %-string formatting without parameterization. An attacker who holds the Tautulli admin API key can inject arbitrary SQL and exfiltrate any value from the Tautulli SQLite database via boolean-blind inference. This issue has been patched in version 2.17.0."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
}
}
],
"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"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-20",
"description": "CWE-20: Improper Input Validation",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-03-30T19:42:56.714Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/Tautulli/Tautulli/security/advisories/GHSA-g47q-8j8w-m63q",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/Tautulli/Tautulli/security/advisories/GHSA-g47q-8j8w-m63q"
},
{
"name": "https://github.com/Tautulli/Tautulli/releases/tag/v2.17.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/Tautulli/Tautulli/releases/tag/v2.17.0"
}
],
"source": {
"advisory": "GHSA-g47q-8j8w-m63q",
"discovery": "UNKNOWN"
},
"title": "Tautulli: SQL Injection in get_home_stats API endpoint via unsanitised filter parameters"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-31799",
"datePublished": "2026-03-30T19:42:56.714Z",
"dateReserved": "2026-03-09T16:33:42.913Z",
"dateUpdated": "2026-03-30T20:17:35.823Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…