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Fortinet Code Execution Flaw Exploited in PivotC2 RAT Attacks

SecurityWeekby Ionut Arghire ()1 min read4 · 3 reads
AI summary · glm-5.3-flashSummaries by Vani AI

Threat actors exploit Fortinet heap-based buffer overflow CVE-2025-25249 to deploy PivotC2 RAT, infecting 178 devices and exfiltrating data from US targets.

SOCRadar reports exploitation of an unauthenticated remote code execution vulnerability, CVE-2025-25249 (CVSS 7.4), patched in January in FortiOS and FortiSwitchManager. Attackers scanned over 30,000 IP addresses, infected 178 devices with PivotC2 RAT, and at least two intrusions resulted in data exfiltration, primarily targeting US entities. SOCRadar attributes attacks to a likely Russian-speaking cybercrime actor and suggests the RAT was AI-assisted, in use since July 2026. CISA added the CVE to the KEV catalog with a three-day BOD 26-04 patch deadline for federal agencies.

Key facts
  • CVE-2025-25249 (CVSS 7.4) is a heap-based buffer overflow allowing unauthenticated RCE
  • 178 devices infected with PivotC2 RAT after 30,000+ IP addresses targeted
  • Two US intrusions confirmed with data exfiltration
  • CISA added CVE to KEV with three-day federal patch deadline
  • Patch available in FortiOS 7.6.4/7.4.9/7.2.12/7.0.18 and FortiSwitchManager 7.2.7/7.0.6
Analyze CVE-2025-25249 with Vani AIImpact, affected versions, exploitation, mitigations and detection

Vulnerabilities mentioned

All
CVEVulnerabilityCVSSEPSSSignalsPublished
CVE-2025-25249
Heap-Based Buffer Overflow in Fortinet FortiOS, FortiSwitchManager, and FortiSASE
9.84%KEVPoC
KEV

From the original article

1 min read at securityweek.com

The high-severity, unauthenticated vulnerability tracked as CVE-2025-25249 was patched in January 2026. The post Fortinet Code Execution Flaw Exploited in PivotC2 RAT Attacks appeared first on SecurityWeek.

SecurityWeek

By Ionut Arghire · securityweek.com

Read the full article at SecurityWeek

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.