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Analyze » Cisco » CIS1772699055

Incident Score: Analysis & Impact (CIS1772699055)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-9
Company Score Before Incident338 / 1000
Company Score After Incident329 / 1000
Company LinkView Cisco Profile
INCIDENT NUMBERCIS1772699055
Type of Cyber IncidentVulnerability
ATTACK VECTORRemote
DATA EXPOSEDNA
INCIDENT DATE28/02/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Cisco'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 Cisco 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 Cisco breach identified under incident ID CIS1772699055.

The analysis begins with a detailed overview of Cisco's information like the linkedin page: https://www.linkedin.com/company/cisco, the number of followers: 7281720, the industry type: Software Development and the number of employees: 95370 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 338 and after the incident was 329 with a difference of -9 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 Cisco and their customers.

On 01 March 2026, Cisco disclosed Vulnerability Exploitation issues under the banner "Critical Cisco Secure Firewall Flaw Grants Unauthenticated Root Access (CVE-2026-20079)".

Cisco has disclosed a critical vulnerability (CVE-2026-20079) in its Secure Firewall Management Center (FMC) Software, allowing unauthenticated remote attackers to gain full root access to affected devices.

The disruption is felt across the environment, affecting Cisco Secure Firewall Management Center (FMC) Software (on-premises deployments).

In response, moved swiftly to contain the threat with measures like Immediate upgrade to patched software release, and began remediation that includes Apply Cisco-provided software patches, and stakeholders are being briefed through Public disclosure via Cisco PSIRT.

The case underscores how Ongoing, teams are taking away lessons such as Importance of timely patch management for firewall infrastructure, and recommending next steps like Immediately upgrade to a patched software release using Cisco’s Software Checker tool, with advisories going out to stakeholders covering Enterprises using on-premises Cisco Secure FMC Software must apply patches immediately.

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 (90%), with evidence including flaw stems from an improperly initialized system process, and exploit it by sending crafted HTTP requests to the FMC web interface. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with high confidence (95%), supported by evidence indicating unauthenticated remote attackers to gain full root access to affected devices. Under the Defense Evasion tactic, the analysis identified Use Alternate Authentication Material: Pass the Hash (T1550.002) with moderate to high confidence (80%), supported by evidence indicating bypassing authentication entirely via crafted HTTP requests. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (85%), supported by evidence indicating pivot deeper into corporate systems after gaining root access. Under the Collection tactic, the analysis identified Input Capture: Keylogging (T1056.001) with moderate to high confidence (70%), supported by evidence indicating monitor network traffic after exploitation. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating crafted HTTP requests to the FMC web interface. Under the Impact tactic, the analysis identified Network Denial of Service (T1498) with moderate confidence (60%), supported by evidence indicating alter security policies leading to potential network disruption and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate to high confidence (70%), supported by evidence indicating execute malicious scripts, alter security policies. 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 (90%)
Privilege Escalation
Exploitation for Privilege Escalation (95%)
Defense Evasion
Use Alternate Authentication Material: Pass the Hash (80%)
Lateral Movement
Exploitation of Remote Services (85%)
Collection
Input Capture: Keylogging (70%)
Command and Control
Application Layer Protocol: Web Protocols (80%)
Impact
Network Denial of Service (60%)
Data Manipulation: Stored Data Manipulation (70%)

Sources & References