Incident Score: Analysis & Impact (AQUUSEAMASALCIS1775046662)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Vendrive'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 Vendrive 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 Vendrive breach identified under incident ID AQUUSEAMASALCIS1775046662.
The analysis begins with a detailed overview of Vendrive's information like the linkedin page: https://www.linkedin.com/company/useaura, the number of followers: 663, the industry type: Software Development and the number of employees: 7 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 547 and after the incident was 541 with a difference of -6 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 Vendrive 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 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...allowed them to steal credentials and infiltrate and Serverless Execution (T1648) with moderate confidence (60%), supported by evidence indicating aWS keys...used to perform unauthorized actions in Cisco’s cloud accounts. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate to high confidence (70%), supported by evidence indicating mass credential reset enforced after compromise and Compromise Client Software Binary (T1554) with moderate to high confidence (80%), supported by evidence indicating teamPCP Cloud Stealer...to hijack developer platforms like Docker, NPM, and PyPi. Under the Privilege Escalation tactic, the analysis identified Abuse Elevation Control Mechanism: Bypass User Account Control (T1548.002) with moderate confidence (60%), supported by evidence indicating compromised dozens of devices, including lab workstations and developer systems. 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 high confidence (90%), supported by evidence indicating aWS keys...used to perform unauthorized actions in Cisco’s cloud accounts. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), with evidence including stole credentials...via malicious GitHub Action plugin, and aWS keys...used to perform unauthorized actions and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating stole credentials...infiltrate Cisco’s build environments. Under the Discovery tactic, the analysis identified Account Discovery: Cloud Account (T1087.004) with moderate to high confidence (70%), supported by evidence indicating access to highly sensitive data...corporate clients, including major banks, BPO firms and Cloud Storage Object Discovery (T1619) with moderate to high confidence (80%), supported by evidence indicating over 300 private GitHub repositories compromised. Under the Collection tactic, the analysis identified Data from Cloud Storage (T1530) with high confidence (90%), supported by evidence indicating over 300 private GitHub repositories...unreleased product source code, AI technologies and Data from Code Repositories (T1213.003) with high confidence (95%), supported by evidence indicating 300 private GitHub repositories...AI Assistants and AI Defense technologies. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate to high confidence (80%), supported by evidence indicating aWS keys used to perform unauthorized actions...data exfiltration and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating shinyHunters has taken credit for the data theft. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate confidence (60%), supported by evidence indicating aWS keys 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 as containment measure. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Vendrive Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/useaura/incident/AQUUSEAMASALCIS1775046662
- Vendrive CyberSecurity Rating page: https://www.rankiteo.com/company/useaura
- Vendrive Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/aquuseamasalcis1775046662-trivy-cisco-salesforce-aws-aura-vulnerability-april-2026/
- Vendrive CyberSecurity Score History: https://www.rankiteo.com/company/useaura/history
- Vendrive CyberSecurity Incident Source: https://gbhackers.com/cisco-data-leak-as-shinyhunters-claims-responsibility/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf