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Advisorymedium

Rockwell Automation ArmorStart LT

CISA Advisoriesby CISA ()2 min read1
Part of a story covered by 3 sourcesCISA advisories cover four Rockwell Automation vulnerabilities across 1756-ENBT, ControlFLASH, and ArmorStart LTMerged summary & timeline
AI summary · glm-5.3-flashSummaries by Vani AI

CISA flags two flaws (CVE-2026-19471, CVE-2026-19472) in Rockwell Automation ArmorStart LT <=v2.001: stored XSS and web server denial-of-service.

Rockwell Automation reported two issues in the embedded web server of ArmorStart LT v2.001 and earlier. CVE-2026-19471 involves multiple stored cross-site scripting flaws (CVSS 7.3) where unsanitized input is stored server-side and executes in other users' browsers. CVE-2026-19472 is a denial-of-service issue (CVSS 7.5) triggered by a crafted HTTP PUT request that exhausts web server resources. No public exploitation has been reported to CISA.

Key facts
  • Stored XSS via unsanitized user input persisted on the server
  • DoS via crafted HTTP PUT causes loss of webserver availability
  • Fix by updating beyond v2.001; limit device internet exposure
Analyze CVE-2026-19471 with Vani AIImpact, affected versions, exploitation, mitigations and detection

Vulnerabilities mentioned

All
CVEVulnerabilityCVSSEPSSSignalsPublished
CVE-2026-19472
+1 related CVE
Unauthenticated DoS in Rockwell Automation ArmorStart LT embedded web server
8.7
group max
<1%

From the original article

2 min read at cisa.gov

View CSAF Summary Successful exploitation of these vulnerabilities could result in a loss of webserver availability or allow an attacker to inject malicious scripts that will be executed when other users access the affected page. The following versions of Rockwell Automation ArmorStart LT are affected: ArmorStart LT <=v2. 001 (CVE-2026-19471, CVE-2026-19472) CVSS Vendor Equipment Vulnerabilities v3 7.

CISA Advisories

By CISA · cisa.gov

Read the full article at CISA Advisories

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.