GHSA-J9MV-375P-293Q
Vulnerability from github – Published: 2026-08-14 18:31 – Updated: 2026-08-14 18:31
VLAI
Details
Nozomi Networks Labs identified a CWE-787: Out-of-bounds Write vulnerability in the process-image management functionality of KUNBUS piControl in version 2.6.2 that allows a local authenticated attacker with device configuration access to write attacker-controlled data outside the bounds of the process-image buffer and corrupt adjacent kernel memory, resulting in kernel memory corruption and denial of service, by supplying crafted device configuration data and crafted input through the piControl character device.
Severity
{
"affected": [],
"aliases": [
"CVE-2026-13196"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-14T16:16:49Z",
"severity": "HIGH"
},
"details": "Nozomi Networks Labs identified a CWE-787: Out-of-bounds Write vulnerability in the process-image management functionality of KUNBUS piControl in version 2.6.2 that allows a local authenticated attacker with device configuration access to write attacker-controlled data outside the bounds of the process-image buffer and corrupt adjacent kernel memory, resulting in kernel memory corruption and denial of service, by supplying crafted device configuration data and crafted input through the piControl character device.",
"id": "GHSA-j9mv-375p-293q",
"modified": "2026-08-14T18:31:37Z",
"published": "2026-08-14T18:31:37Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-13196"
},
{
"type": "WEB",
"url": "https://www.nozominetworks.com/labs/vulnerability-advisories-cve-2026-13196"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:H/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.
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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