Incident Score: Analysis & Impact (MICMICMICGIT1780813480)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Microsoft Security's Cyber Attack 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 Microsoft 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 Microsoft Security breach identified under incident ID MICMICMICGIT1780813480.
The analysis begins with a detailed overview of Microsoft Security's information like the linkedin page: https://www.linkedin.com/company/microsoft-security, the number of followers: 515370, the industry type: IT Services and IT Consulting and the number of employees: None 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 288 and after the incident was 272 with a difference of -16 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 Microsoft Security and their customers.
Microsoft (GitHub Repositories) recently reported "Microsoft GitHub Repositories Hit by Miasma Supply Chain Attack", a noteworthy cybersecurity incident.
Microsoft’s GitHub repositories have been targeted in the ongoing *Miasma* self-replicating supply chain attack, affecting 73 repositories across four organizations: Azure, Azure-Samples, Microsoft, and MicrosoftDocs.
The disruption is felt across the environment, affecting GitHub repositories, AI coding tools (Claude Code, Gemini CLI, Cursor, VS Code).
In response, moved swiftly to contain the threat with measures like Disabled access to compromised repositories, terms-of-service violation notices.
The case underscores how teams are taking away lessons such as The attack exploits the trust model in open-source ecosystems, highlighting the need for enhanced security measures in maintainer credentials and repository updates, and recommending next steps like Implement stricter access controls for maintainer credentials, enhance monitoring of repository updates, and educate developers on supply chain attack risks.
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 miasma self-replicating supply chain attack affecting 73 repositories, and compromised maintainer credentials and Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating attackers exploited trust model, compromised maintainer credentials. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: JavaScript (T1059.007) with moderate to high confidence (80%), supported by evidence indicating payload executes automatically via npm test script and User Execution: Malicious File (T1204.002) with moderate to high confidence (85%), supported by evidence indicating 4.3 MB runner executes when developers open repositories in AI coding tools. Under the Persistence tactic, the analysis identified Server Software Component: Web Shell (T1505.003) with moderate to high confidence (70%), supported by evidence indicating malicious code injected into repositories like icflorescu/mantine-datatable and Boot or Logon Autostart Execution: XDG Autostart Entries (T1547.013) with moderate confidence (60%), supported by evidence indicating self-replicating worm propagates through legitimate channels. Under the Privilege Escalation tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating compromised maintainer credentials used to inject malicious code. Under the Defense Evasion tactic, the analysis identified Masquerading: Match Legitimate Name or Location (T1036.005) with moderate to high confidence (85%), supported by evidence indicating new repositories with deceptive descriptions like Miasma such as The Spreading Blight and Subvert Trust Controls: Code Signing Policy Modification (T1553.006) with moderate to high confidence (70%), supported by evidence indicating attack evades conventional defenses by mimicking routine updates. Under the Lateral Movement tactic, the analysis identified Account Discovery: Cloud Account (T1087.004) with moderate to high confidence (70%), supported by evidence indicating worm propagates through legitimate channels in open-source ecosystems and Lateral Tool Transfer (T1570) with moderate to high confidence (80%), supported by evidence indicating self-replicating worm infects additional packages. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (80%), supported by evidence indicating disabled access to compromised repositories, terms-of-service violation notices and Defacement: Internal Defacement (T1491.001) with moderate to high confidence (70%), supported by evidence indicating malicious code injected into repositories. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Microsoft Security Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/microsoft-security/incident/MICMICMICGIT1780813480
- Microsoft Security CyberSecurity Rating page: https://www.rankiteo.com/company/microsoft-security
- Microsoft Security Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/micmicmicgit1780813480-azure-microsoft-github-microsoftdocs-cyber-attack-may-2026/
- Microsoft Security CyberSecurity Score History: https://www.rankiteo.com/company/microsoft-security/history
- Microsoft Security CyberSecurity Incident Source: https://thehackernews.com/2026/06/miasma-worm-hits-73-microsoft-github.html
- 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