GHSA-RP7V-4384-HFRP
Vulnerability from github – Published: 2026-04-24 16:37 – Updated: 2026-04-24 16:37
VLAI
Summary
k8sGPT has Prompt Injection through its k8sGPT-Operator
Details
Summary
In the auto-remediation pipeline, object_to_execution.go was deserializing the AI-generated YAML directly into a Deployment object, but there was lack of validation from the original Deployment object.
Details
This issue was fixed after coordination with Alex Jones.
PoC
To minimize the impact, the PoC of this vulnerability wasn't released, but was shared with the maintainers.
Severity
{
"affected": [
{
"package": {
"ecosystem": "Go",
"name": "github.com/k8sgpt-ai/k8sgpt"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.4.32"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [
"CWE-20",
"CWE-502",
"CWE-915"
],
"github_reviewed": true,
"github_reviewed_at": "2026-04-24T16:37:12Z",
"nvd_published_at": null,
"severity": "HIGH"
},
"details": "### Summary\nIn the auto-remediation pipeline, `object_to_execution.go` was deserializing the AI-generated YAML directly into a Deployment object, but there was lack of validation from the original Deployment object.\n\n### Details\nThis issue was fixed after coordination with Alex Jones.\n\n### PoC\nTo minimize the impact, the PoC of this vulnerability wasn\u0027t released, but was shared with the maintainers.",
"id": "GHSA-rp7v-4384-hfrp",
"modified": "2026-04-24T16:37:12Z",
"published": "2026-04-24T16:37:12Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/k8sgpt-ai/k8sgpt/security/advisories/GHSA-rp7v-4384-hfrp"
},
{
"type": "PACKAGE",
"url": "https://github.com/k8sgpt-ai/k8sgpt"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "k8sGPT has Prompt Injection through its k8sGPT-Operator"
}
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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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