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Analyze » Fortinet » FOR1788949461

Incident Score: Analysis & Impact (FOR1788949461)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-5
Company Score Before Incident182 / 1000
Company Score After Incident177 / 1000
INCIDENT NUMBERFOR1788949461
Type of Cyber IncidentVulnerability
ATTACK VECTORRemote exploitation via specially crafted network packets
DATA EXPOSEDCredentials, network traffic data, configuration...
INCIDENT DATE12/01/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Fortinet's Vulnerability and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Fortinet Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Fortinet breach identified under incident ID FOR1788949461.

The analysis begins with a detailed overview of Fortinet's information like the linkedin page: https://www.linkedin.com/company/fortinet, the number of followers: 1310862, the industry type: Computer and Network Security and the number of employees: 16380 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 182 and after the incident was 177 with a difference of -5 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Fortinet and their customers.

Fortinet recently reported "Fortinet Vulnerability Exploited to Deploy PivotC2 Post-Exploitation Framework", a noteworthy cybersecurity incident.

Threat actors are actively exploiting CVE-2025-25249, a heap-based buffer-overflow vulnerability in Fortinet’s FortiOS, FortiSwitchManager, and certain FortiSASE releases, to compromise FortiGate appliances and deploy PivotC2, a newly identified post-exploitation command-and-c...

The disruption is felt across the environment, affecting FortiGate appliances, FortiOS, FortiSwitchManager, FortiSASE, and exposing Credentials, network traffic data, configuration changes.

In response, moved swiftly to contain the threat with measures like Restricting CAPWAP traffic (UDP ports 5246–5249) via local-in policies, and began remediation that includes Immediate patching of affected releases, rebuilding compromised devices from trusted firmware images, rotating credentials.

The case underscores how teams are taking away lessons such as The incident underscores the growing focus on edge devices (firewalls, VPNs, routers) as high-value targets for long-term persistence and covert operations. Organizations must treat such vulnerabilities as potential breach scenarios and conduct retrospective investigations, and recommending next steps like Immediate patching of affected FortiOS, FortiSwitchManager, and FortiSASE releases, Retrospective investigation of previously vulnerable appliances for signs of exploitation and Rebuilding compromised devices from trusted firmware images and rotating credentials.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with high confidence (95%), supported by evidence indicating unauthenticated remote attackers to execute arbitrary code via CVE-2025-25249. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with high confidence (90%), supported by evidence indicating heap-based buffer-overflow in cw_acd daemon allows arbitrary code execution and Command and Scripting Interpreter (T1059) with moderate to high confidence (80%), supported by evidence indicating pivotC2 is a Node.js-based post-exploitation framework. Under the Persistence tactic, the analysis identified Server Software Component: Web Shell (T1505.003) with moderate to high confidence (85%), supported by evidence indicating pivotC2 establishes persistence within the network on FortiGate appliances and Create or Modify System Process: Windows Service (T1543.003) with moderate to high confidence (70%), supported by evidence indicating framework designed to operate directly on compromised FortiGate appliances. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating exploitation of CVE-2025-25249 allows code execution on privileged firewall devices. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate to high confidence (80%), supported by evidence indicating pivotC2 conceals malicious communications within legitimate traffic and Masquerading (T1036) with moderate to high confidence (75%), supported by evidence indicating framework leverages firewall’s privileged position to evade endpoint security. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (85%), supported by evidence indicating pivotC2 monitors network traffic and collects credentials. Under the Discovery tactic, the analysis identified Network Service Discovery (T1046) with moderate to high confidence (80%), supported by evidence indicating pivotC2 enables lateral movement into protected internal systems. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (85%), supported by evidence indicating pivotC2 pivots into internal environments without triggering endpoint security. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with high confidence (90%), supported by evidence indicating pivotC2 is a Node.js-based C2 framework operating on compromised devices and Ingress Tool Transfer (T1105) with moderate to high confidence (70%), supported by evidence indicating framework designed to maintain access even after compromised systems are rebuilt. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data theft, credentials, and network traffic data compromised via PivotC2. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (95%)
Execution
Exploitation for Client Execution (90%)
Command and Scripting Interpreter (80%)
Persistence
Server Software Component: Web Shell (85%)
Create or Modify System Process: Windows Service (70%)
Privilege Escalation
Exploitation for Privilege Escalation (80%)
Defense Evasion
Hide Artifacts: Hidden Files and Directories (80%)
Masquerading (75%)
Credential Access
OS Credential Dumping (85%)
Discovery
Network Service Discovery (80%)
Lateral Movement
Exploitation of Remote Services (85%)
Command and Control
Application Layer Protocol: Web Protocols (90%)
Ingress Tool Transfer (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)

Sources & References