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Analyze » Aqua Security » 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-5
Company Score Before Incident587 / 1000
Company Score After Incident582 / 1000
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 Aqua Security'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 Aqua Security 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 Aqua Security breach identified under incident ID AQUUSEAMASALCIS1775046662.

The analysis begins with a detailed overview of Aqua Security's information like the linkedin page: https://www.linkedin.com/company/aquasecteam, the number of followers: 66228, the industry type: Computer and Network Security and the number of employees: 481 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 587 and after the incident was 582 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 Aqua Security 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: Compromise Software Supply Chain (T1195.002) 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. 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%), supported by evidence indicating aWS keys stolen via malicious GitHub Action plugin. 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 and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating corporate data belonging to corporate clients compromised. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with high confidence (90%), supported by evidence indicating aWS keys used to perform unauthorized actions in Cisco’s cloud accounts and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating shinyHunters claimed responsibility for data theft. Under the Defense Evasion tactic, the analysis identified Modify Cloud Compute Infrastructure: Delete Cloud Instance (T1578.003) with moderate to high confidence (70%), supported by evidence indicating wiped compromised machines as containment measure and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (85%), supported by evidence indicating aWS keys used to perform unauthorized actions. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating unauthorized actions in Cisco’s cloud accounts. 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: Compromise Software Supply Chain (95%)
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
Transfer Data to Cloud Account (90%)
Exfiltration Over C2 Channel (80%)
Defense Evasion
Modify Cloud Compute Infrastructure: Delete Cloud Instance (70%)
Valid Accounts: Cloud Accounts (85%)
Impact
Resource Hijacking (70%)

Sources & References