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U.S. CISA adds PaperCut NG/MF flaws to its Known Exploited Vulnerabilities catalog

Security Affairsby @securityaffairs ()3 min read1 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

CISA added two actively exploited PaperCut NG/MF pre-auth flaws to the KEV catalog; federal agencies must patch by September 14.

CISA added CVE-2026-81578 (CVSS 8.8, missing authentication for critical function) and CVE-2026-82078 (CVSS 9.4, unsafe reflection) in PaperCut NG/MF to its Known Exploited Vulnerabilities catalog. Huntress confirmed active pre-authentication RCE exploitation in two customer environments and reproduced the full chain against a clean PaperCut NG 25.0.11 server, chaining the auth bypass into unsafe Java class loading for SYSTEM-level execution. About 47% of roughly 2,500 tracked PaperCut installs still run version 23 or earlier with no patch available, and observed attacker activity was limited to system discovery commands.

Key facts
  • CVE-2026-81578 allows pre-auth config changes via page-permission confusion
  • CVE-2026-82078 loads unsafe Java classes enabling arbitrary code execution
  • Huntress observed discovery-only commands (whoami, ver, tasklist) in the wild
  • Distinctive Derby log marker 'DB URL: jdbc:derby:memory:pwn' serves as IOC
  • FCEB agencies must remediate by September 14 under BOD 22-01
Analyze CVE-2026-81578 with Vani AIImpact, affected versions, exploitation, mitigations and detection

Vulnerabilities mentioned

All
CVEVulnerabilityCVSSEPSSSignalsPublished
CVE-2026-82078
+1 related CVE
Unsafe Reflection RCE in PaperCut NG/MF, Chained with Auth Bypass in Attacks
9.4
group max
63%KEV
KEV

From the original article

3 min read at securityaffairs.com

U. S. Cybersecurity and Infrastructure Security Agency (CISA) adds PaperCut NG/MF flaws to its Known Exploited Vulnerabilities catalog.

Security Affairs

By @securityaffairs · securityaffairs.com

Read the full article at Security Affairs

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.