---
id: "CVE-2026-76933"
kind: "vulnerability"
aliases: ["CVE-2026-76933"]
title: "JP1 Automatic Job Management System 3: heap overflow in Manager and Agent"
severity: "critical"
cvss: 9.4
epss: null
exploited: false
status: "open"
category: "infrastructure"
products: []
ecosystems: []
tags: ["automatic-job-management", "enterprise-infrastructure", "infrastructure", "job-scheduling", "jp1"]
not_affected_if: ["not-in-affected-version-range"]
published_at: "2026-10-27T10:16:54+00:00"
first_seen_at: "2026-10-27T10:31:02+00:00"
updated_at: "2026-10-27T10:31:51+00:00"
sources: [{"source": "nvd", "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-76933", "first_seen_at": "2026-10-27T10:31:02+00:00"}]
---

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

JP1/Automatic Job Management System 3 Manager and Agent versions 11-00 through 13-50-30 contain a heap-based buffer overflow. The sources do not state the exact trigger or whether code execution is possible, but a heap overflow in this class of service typically crashes or hands control to a remote attacker.

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

## How to check

- Check the installed JP1/Automatic Job Management System 3 Manager and Agent versions on each host (unknown command; check the vendor's version view).
- Flag any install from `11-00` up to but not including `13-50-31`.

## Fix

- Upgrade JP1/Automatic Job Management System 3 Manager and Agent to `13-50-31` or later.
- Vendor advisory link and exact patch steps: unknown.

## Timeline

- 2026-10-27T10:31:02+00:00 nvd https://nvd.nist.gov/vuln/detail/CVE-2026-76933

## From the sources

Heap-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_