GHSA-JJ9H-M6R9-G37H
Vulnerability from github – Published: 2026-10-10 21:31 – Updated: 2026-10-10 21:31
VLAI
Details
Tabularis through 0.27.0 contains an incorrect authorization vulnerability in the MCP run_query safety gate that allows prompt-injected agents or untrusted MCP clients to bypass read-only mode by submitting side-effecting SELECT statements. Attackers can run statements like SELECT setval, nextval, or PostgreSQL query_to_xml with embedded DELETE to modify data without approval prompts.
Severity
6.3 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-108604"
],
"database_specific": {
"cwe_ids": [
"CWE-863"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-10-10T20:16:32Z",
"severity": "MODERATE"
},
"details": "Tabularis through 0.27.0 contains an incorrect authorization vulnerability in the MCP run_query safety gate that allows prompt-injected agents or untrusted MCP clients to bypass read-only mode by submitting side-effecting SELECT statements. Attackers can run statements like SELECT setval, nextval, or PostgreSQL query_to_xml with embedded DELETE to modify data without approval prompts.",
"id": "GHSA-jj9h-m6r9-g37h",
"modified": "2026-10-10T21:31:16Z",
"published": "2026-10-10T21:31:16Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-108604"
},
{
"type": "WEB",
"url": "https://github.com/TabularisDB/tabularis"
},
{
"type": "WEB",
"url": "https://github.com/TabularisDB/tabularis/blob/804c4c3bb6fd8eaa2e36cbe49f6c0d58f373b5e9/src-tauri/src/ai_activity.rs#L357-L416"
},
{
"type": "WEB",
"url": "https://github.com/TabularisDB/tabularis/blob/804c4c3bb6fd8eaa2e36cbe49f6c0d58f373b5e9/src-tauri/src/mcp/mod.rs#L1136-L1171"
},
{
"type": "WEB",
"url": "https://hackmd.io/@haind/S1BofaIsMx"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/tabularis-through-0.27.0-read-only-bypass-via-mcp-run-query-select-classification"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:N/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:P/VC:N/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",
"type": "CVSS_V4"
}
]
}
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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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