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Analyze » Cisco » AQUUSEAMASALCIS1775046662

Incident Score: Analysis & Impact (AQUUSEAMASALCIS1775046662)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-2
Company Score Before Incident331 / 1000
Company Score After Incident329 / 1000
Company LinkView Cisco Profile
INCIDENT NUMBERAQUUSEAMASALCIS1775046662
Type of Cyber IncidentVulnerability
ATTACK VECTORMalicious GitHub Action plugin (Trivy vulnerability scanner)
DATA EXPOSEDAWS keys, over 300 private...
INCIDENT DATE31/03/2026
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 AQUUSEAMASALCIS1775046662.

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 331 and after the incident was 329 with a difference of -2 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.

Cisco recently reported "Cisco Hit by Major Cyberattack Linked to Supply Chain Breach", a noteworthy cybersecurity incident.

Cisco is responding to a significant cybersecurity incident after threat actors breached its internal development networks, stealing sensitive source code and corporate data.

The disruption is felt across the environment, affecting Dozens of devices (lab workstations, developer systems, build environments), and exposing AWS keys, over 300 private GitHub repositories (unreleased product source code, AI Assistants, AI Defense technologies, corporate client data), with nearly Over 300 private GitHub repositories records at risk.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Isolated affected systems, wiped compromised machines, mass credential reset, and stakeholders are being briefed through No public statement issued yet.

The case underscores how Ongoing.

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 Supply Chain Compromise (T1195) with high confidence (95%), with evidence including breach originated from a supply chain attack involving Trivy, and exploited a malicious GitHub Action plugin tied to the Trivy compromise and Supply Chain Compromise: Compromise Software Dependencies and Development Tools (T1195.001) with high confidence (90%), with evidence including malicious GitHub Action plugin (Trivy vulnerability scanner), and trivy, a widely used vulnerability scanner. Under the Execution tactic, the analysis identified User Execution: Malicious Image (T1204.003) with moderate to high confidence (70%), supported by evidence indicating malicious GitHub Action plugin tied to the Trivy compromise. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), with evidence including steal credentials and infiltrate Cisco’s build environments, and aWS keys were used to perform unauthorized actions and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), with evidence including stole AWS keys, and compromised dozens of devices, including lab workstations and developer systems. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (70%), supported by evidence indicating compromised dozens of devices, including lab workstations and developer systems. Under the Collection tactic, the analysis identified Data from Code Repositories (T1213.003) with high confidence (95%), supported by evidence indicating over 300 private GitHub repositories...unreleased product source code, AI Assistants, AI Defense technologies and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating corporate data...compromised via its internal development networks. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including data breach...stole sensitive source code and corporate data, and shinyHunters has taken credit for the data theft and Transfer Data to Cloud Account (T1537) with moderate to high confidence (80%), supported by evidence indicating aWS keys were used to perform unauthorized actions in Cisco’s cloud accounts. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (85%), with evidence including stole credentials and infiltrate Cisco’s build environments, and mass credential reset and Modify Cloud Compute Infrastructure: Create Cloud Instance (T1578.003) with moderate to high confidence (70%), supported by evidence indicating aWS keys were used to perform unauthorized actions in Cisco’s cloud accounts. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating aWS keys were used to perform unauthorized actions in Cisco’s cloud accounts and Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating wiped compromised machines. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (95%)
Supply Chain Compromise: Compromise Software Dependencies and Development Tools (90%)
Execution
User Execution: Malicious Image (70%)
Credential Access
Steal Application Access Token (90%)
Unsecured Credentials: Credentials In Files (80%)
Lateral Movement
Remote Services: Remote Desktop Protocol (70%)
Collection
Data from Code Repositories (95%)
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Transfer Data to Cloud Account (80%)
Defense Evasion
Valid Accounts (85%)
Modify Cloud Compute Infrastructure: Create Cloud Instance (70%)
Impact
Resource Hijacking (70%)
Data Destruction (50%)