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CVE-2019-17543 Rockwell Automation CVE debrief

CVE-2019-17543 is a high-severity vulnerability in the LZ4 compression library, which can lead to a heap-based buffer overflow and potential data corruption. The vulnerability affects applications that call LZ4_compress_fast with a large input. According to the vendor, only a few specific and uncommon usages of the API are at risk. This vulnerability has a CVSS score of 8.1 and is considered HIGH severity. The CVE record was published on 2019-10-14T02:15:10.873Z and has not been modified since then.

Vendor
Rockwell Automation
Product
DataMosaix Private Cloud (<=7.07)
CVSS
HIGH 8.1
CISA KEV
Not listed in stored evidence
Original CVE published
2019-10-14
Original CVE updated
2026-10-08
Advisory published
2019-10-14
Advisory updated
2026-10-08

Who should care

Defenders responsible for applications and systems that use the LZ4 library should assess their exposure and take steps to remediate or apply compensating controls. This includes developers, security teams, and IT professionals who manage and maintain software systems that rely on LZ4 compression.

Why it matters

CVE-2019-17543 is a high-severity vulnerability in the LZ4 compression library that can lead to a heap-based buffer overflow and potential data corruption. Defenders should prioritize verifying if their applications use the LZ4 library and are affected by this vulnerability.

  • Verify if applications are affected by this vulnerability and take steps to remediate
  • Assess if systems or products use the vulnerable API and apply patches or updates
  • Implement compensating controls to mitigate potential risks
  • Monitor systems for potential data corruption or other security issues

Technical summary

The LZ4 compression library has a heap-based buffer overflow vulnerability in LZ4_write32, which can lead to data corruption. The vulnerability affects applications that call LZ4_compress_fast with a large input. The vendor states that only a few specific and uncommon usages of the API are at risk. This vulnerability has a CVSS score of 8.1 and is considered HIGH severity. The CVE record and NVD entry provide details about the vulnerability, including its CVSS score and vector. The vendor provides guidance on how to mitigate the vulnerability, and defenders should prioritize verifying if their applications use the LZ4 library and are affected by this vulnerability.

Defensive priority

Defenders should prioritize verifying if their applications use the LZ4 library and are affected by this vulnerability. They should also assess if their systems or products use the vulnerable API and take steps to remediate or apply compensating controls.

Recommended defensive actions

  • Verify if applications use the LZ4 library and are affected by this vulnerability
  • Assess if systems or products use the vulnerable API
  • Apply patches or updates to remediate the vulnerability
  • Implement compensating controls to mitigate potential risks
  • Monitor systems for potential data corruption or other security issues
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record and NVD entry provide details about the vulnerability, including its CVSS score and vector. The vendor states that only a few specific and uncommon usages of the API are at risk. However, the exact scope of affected applications and systems is not clear.

Sources and references

Verified primary and authoritative sources

  • CVE-2019-17543 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2019-17543

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2019-17543 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2019-17543

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.