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CVE-2019-1068: A remote code execution vulnerability exists in ...

Web discovery (articles for new exploits & KEV entries)by HazeTec ()1 min read3 · 2 reads

Found by web discovery while looking for coverage of CVE-2019-1068

AI summary · glm-5.3-flashSummaries by Vani AI

CISA added CVE-2019-1068, a high-severity remote code execution flaw in Microsoft SQL Server, to its KEV catalog after confirming exploitation in the wild.

CVE-2019-1068 (CVSS 8.8, CWE-20) is an improper input validation flaw allowing unauthenticated RCE in Microsoft SQL Server 2014 SP2/SP3, 2016, and 2017 on 32-bit and x64 builds. Exploitation requires low complexity and low privileges with no user interaction, and CISA formally added it to the KEV catalog on August 26, 2026. The CVE was originally published on July 15, 2019 and carries an EPSS score of 52.8%. Administrators must inventory affected SQL Server assets and apply vendor patches on an accelerated timeline.

Key facts
  • CISA added CVE-2019-1068 to the KEV catalog on August 26, 2026.
  • The flaw enables RCE with low complexity and no user interaction.
  • EPSS score of 52.8% indicates significant exploitation probability.
  • Affected versions span SQL Server 2014 SP2/SP3, 2016, and 2017.
Analyze CVE-2019-1068 with Vani AIImpact, affected versions, exploitation, mitigations and detection

Vulnerabilities mentioned

All
CVEVulnerabilityCVSSEPSSSignalsPublished
CVE-2019-1068
Remote Code Execution in Microsoft SQL Server 2016 and 2017
8.857%KEV
KEV

From the original article

1 min read at hazetec.com

CVE-2019-1068 is a high-severity remote code execution vulnerability (CVSS 8. 8) affecting multiple Microsoft SQL Server versions. Caused by improper input validation of internal functions, this flaw is confirmed as exploited in the wild and listed in the CISA KEV catalog.

Web discovery (articles for new exploits & KEV entries)

By HazeTec · hazetec.com

Read the full article at Web discovery (articles for new exploits & KEV entries)

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.