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Apple macOS Screen Sharing Flaw Exploited on Internet

The Hacker Newsby @TheHackersNews ()5 min read2
AI summary · glm-5.3-flashSummaries by Vani AI

Actively exploited CVE-2026-65400 in macOS Screen Sharing grants pre-auth root access; attackers deploy Monero miners on exposed systems.

NCSC-NL reported active exploitation of CVE-2026-65400 (CVSS 9.8), an authentication flaw in macOS Screen Sharing patched on August 6, 2026, with root access gained and a Monero miner planted on internet-exposed systems using port 5900. Related Screen Sharing bugs CVE-2026-43779, CVE-2026-43777, and CVE-2026-43760 were fixed in macOS Tahoe 26.6, and researcher @osxreverser noted a pre-auth flaw fixed alongside them affecting roughly 40,000 exposed hosts. Calif said an AI agent produced working exploits for both pre-auth bugs in four hours, underscoring the shrinking gap between patch release and weaponization.

Key facts
  • Patched August 6 in macOS Tahoe 26.6.1, Sequoia 15.7.9, Sonoma 14.8.9
  • Exploitation targets hosts with port 5900 exposed; root access and Monero mining observed
  • ~40,000 screen-sharing hosts exposed online, nearly half in the US
  • Working AI-built exploit for both flaws produced in four hours
  • Mitigation if unpatched: disable Screen Sharing
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Vulnerabilities mentioned

All
CVEVulnerabilityCVSSEPSSSignalsPublished
CVE-2026-43779
+2 related CVEs
A logic issue was addressed with improved restrictions
9.8
group max
<1%
CVE-2026-65400
Authentication Bypass in Apple macOS Screen Sharing
9.82%KEV
KEV

From the original article

5 min read at thehackernews.com

A recently patched security flaw in Apple macOS has come under active exploitation in the wild to deploy a cryptocurrency miner, the Netherlands National Cyber Security Centre (NCSC-NL) has warned . The vulnerability in question is CVE-2026-65400 (CVSS score: 9.

The Hacker News

By @TheHackersNews · thehackernews.com

Read the full article at The Hacker News

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.