---
id: "CVE-2026-76934"
kind: "vulnerability"
aliases: ["CVE-2026-76934"]
title: "JP1 Automatic Job Management System 3: stack buffer overflow in Manager and Agent"
severity: "critical"
cvss: 9.8
epss: null
exploited: false
status: "open"
category: "infrastructure"
products: []
ecosystems: []
tags: ["ajs3", "hitachi", "infrastructure", "job-scheduler", "jp1", "linux", "windows"]
not_affected_if: ["version-13-50-31-or-later"]
published_at: "2026-10-27T10:16:54+00:00"
first_seen_at: "2026-10-27T10:31:02+00:00"
updated_at: "2026-10-27T10:31:42+00:00"
sources: [{"source": "nvd", "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-76934", "first_seen_at": "2026-10-27T10:31:02+00:00"}]
---

# JP1 Automatic Job Management System 3: stack buffer overflow in Manager and Agent

JP1/Automatic Job Management System 3 Manager and Agent versions from 11-00 before 13-50-31 contain a stack-based buffer overflow. The sources do not say what input triggers it or whether it is remotely reachable, but a stack overflow in a job scheduler's Manager or Agent can let an attacker run code on the host.

_Summary, check and fix written by a model from the sources; labelled as such._

## How to check

- Check the installed JP1/AJS3 Manager and Agent version in the product's version information; affected versions are from `11-00` before `13-50-31`
- unknown for any other check, the sources do not say

## Fix

- Upgrade JP1/Automatic Job Management System 3 Manager and Agent to `13-50-31` or later, per the vendor advisory
- unknown for any interim workaround, the sources do not say

## Timeline

- 2026-10-27T10:31:02+00:00 nvd https://nvd.nist.gov/vuln/detail/CVE-2026-76934

## From the sources

Stack-based Buffer Overflow Vulnerability in JP1/Automatic Job Management System 3.

This issue affects JP1/Automatic Job Management System 3 - Manager: from 11-00 before 13-50-31; JP1/Automatic Job Management System 3 - Agent: from 11-00 before 13-50-31.

---

_Free to read at a human pace. An API with keys and an MCP server are in preparation; early access: hello@infrastack.ai_