GHSA-7VGW-VX83-CQ44
Vulnerability from github – Published: 2026-08-20 12:31 – Updated: 2026-08-20 12:31
VLAI
Details
n8n before 1.123.69, 2.33.4, and 2.34.1 contains a PostgREST filter injection vulnerability in the Supabase node's Row Get Many, Delete, and Update operations, which built filter queries by concatenating an expression-bindable value without escaping. An attacker could inject a condition that widened the filter to match every row, turning an intended single-row operation into full-table disclosure, deletion, or modification.
Severity
{
"affected": [],
"aliases": [
"CVE-2026-77071"
],
"database_specific": {
"cwe_ids": [
"CWE-89"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-20T12:16:38Z",
"severity": "HIGH"
},
"details": "n8n before 1.123.69, 2.33.4, and 2.34.1 contains a PostgREST filter injection vulnerability in the Supabase node\u0027s Row Get Many, Delete, and Update operations, which built filter queries by concatenating an expression-bindable value without escaping. An attacker could inject a condition that widened the filter to match every row, turning an intended single-row operation into full-table disclosure, deletion, or modification.",
"id": "GHSA-7vgw-vx83-cq44",
"modified": "2026-08-20T12:31:25Z",
"published": "2026-08-20T12:31:25Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/n8n-io/n8n/security/advisories/GHSA-f4f3-2g67-4vhm"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-77071"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/n8n-before-postgrest-filter-injection-via-supabase"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H/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.
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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