# Rockwell Automation 1783-NATR memory corruption flaw

Published: 2025-09-09 · Severity: routine · Sectors: manufacturing
Canonical: https://vorant.io/reports/d836e09d-7d0c-506d-b94b-0dfb85817220/rockwell-automation-1783-natr-memory-corruption-flaw

> Memory allocator overflow in Rockwell Automation 1783-NATR network appliance causes memory corruption; patch to version 1.007.

Rockwell Automation 1783-NATR network appliance versions prior to 1.007 contain a memory allocator overflow vulnerability (CVE-2020-28895) originating from a platform-dependent third-party component in Wind River VxWorks. The flaw exists in the calloc() memory allocator, which miscalculates buffer sizes during allocation, causing the actual memory allocated to be smaller than requested. This leads to memory corruption when the application writes to the undersized buffer. The vulnerability is remotely exploitable over the network with low attack complexity and requires no authentication or user interaction.

The 1783-NATR is a network appliance deployed worldwide in critical manufacturing environments. Rockwell Automation has released version 1.007 as the corrected version. CISA reports no known public exploitation targeting this vulnerability at the time of advisory publication. Organizations unable to patch immediately should isolate the device behind firewalls, minimize internet exposure, and employ network segmentation between control system and business networks. When remote access is necessary, VPN or other secure tunneling methods should be used, though defenders should verify VPN infrastructure is current and secure.

## Mentioned in this report

- Vulnerabilities: CVE-2020-28895

Source reporting: https://www.cisa.gov/news-events/ics-advisories/icsa-25-252-09

---

This is the free public brief from Vorant Threat Intelligence. When citing, attribute "Vorant" and link https://vorant.io/reports/d836e09d-7d0c-506d-b94b-0dfb85817220/rockwell-automation-1783-natr-memory-corruption-flaw.
In the app the same report carries its extracted indicators, its detections (Splunk SPL already written, plus Elastic and Microsoft KQL where they apply), live profiles of the actors and CVEs it names, and the vendor research on the same campaign. Slack alerts fire on the vendors, sectors and countries a reader follows. A new account starts with three days of all of it, no card: https://vorant.io/signup
