Incident Score: Analysis & Impact (ASYMIC1785327908)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Microsoft Threat Intelligence'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 Threat Intelligence 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 Threat Intelligence breach identified under incident ID ASYMIC1785327908.
The analysis begins with a detailed overview of Microsoft Threat Intelligence's information like the linkedin page: https://www.linkedin.com/company/microsoft-threat-intelligence, the number of followers: 128397, the industry type: Computer and Network Security 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 351 and after the incident was 333 with a difference of -18 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 Threat Intelligence and their customers.
On 14 July 2026, AsyncAPI Project disclosed Supply Chain Compromise issues under the banner "AsyncAPI npm Supply Chain Attack Exposes Developers to Credential Theft".
On July 14, 2026, attackers executed a supply chain compromise targeting the AsyncAPI project on the npm registry, publishing five malicious package versions within a 90-minute window.
The disruption is felt across the environment, affecting Developer laptops, CI/CD pipelines, containers, production services, and exposing Source control tokens, cloud credentials, AI platform keys, container & orchestration tokens, secret management files.
In response, moved swiftly to contain the threat with measures like Removal of compromised package versions, purging npm/Yarn caches, and began remediation that includes Rotation of exposed secrets, hunting for `sync.js` files, blocking malicious IPFS CIDs, while recovery efforts such as Pinning known-good versions, rebuilding from clean lockfiles, updating npm CLI continue.
The case underscores how Ongoing, teams are taking away lessons such as Importance of securing CI/CD pipelines, reviewing GitHub Actions token scopes, and monitoring for malicious package imports, and recommending next steps like Remove compromised package versions and purge npm/Yarn caches, Rotate all exposed secrets (cloud keys, tokens, API credentials) and Hunt for `sync.js` in NodeJS directories and detached Node processes, with advisories going out to stakeholders covering Teams advised to rotate secrets and purge caches.
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%), supported by evidence indicating supply chain compromise targeting the AsyncAPI project on the npm registry, Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating publishing five malicious package versions within a 90-minute window, and Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating exploiting a misconfigured GitHub Actions workflow that exposed a privileged bot token. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: JavaScript (T1059.007) with high confidence (90%), supported by evidence indicating malware activates upon module import, delivering a modular runtime called Miasma and User Execution: Malicious File (T1204.002) with moderate to high confidence (85%), supported by evidence indicating hidden Node process execution upon package import. Under the Persistence tactic, the analysis identified Boot or Logon Autostart Execution: Active Setup (T1547.014) with moderate to high confidence (80%), supported by evidence indicating installation of `sync.js` in OS-specific NodeJS directories and Hijack Execution Flow: Dynamic Linker Hijacking (T1574.006) with moderate to high confidence (70%), supported by evidence indicating malware delivered via legitimate npm publishing workflows. Under the Privilege Escalation tactic, the analysis identified Abuse Elevation Control Mechanism: Setuid and Setgid (T1548.001) with moderate confidence (60%), supported by evidence indicating leveraging a misconfigured GitHub Actions workflow that exposed a privileged bot token. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (95%), supported by evidence indicating targeted over 100 environment variables and files, including .npmrc, AWS credentials, kubeconfig, Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating source control tokens (GitHub, GitLab, npm), cloud credentials (AWS, Azure, Google Cloud), and Unsecured Credentials: Cloud Instance Metadata API (T1552.005) with moderate to high confidence (80%), supported by evidence indicating cloud credentials (AWS, Azure, Google Cloud) targeted. Under the Discovery tactic, the analysis identified Account Discovery: Cloud Account (T1087.004) with moderate to high confidence (80%), supported by evidence indicating when a GitHub token was detected, the malware could enumerate repositories and File and Directory Discovery (T1083) with moderate to high confidence (75%), supported by evidence indicating targeted secret management files (.npmrc, AWS credentials, kubeconfig, Vault tokens). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating miasma targeted over 100 environment variables and files and Data from Code Repositories (T1213.003) with moderate to high confidence (85%), supported by evidence indicating gitHub tokens targeted to enumerate repositories and CI context. Under the Command and Control tactic, the analysis identified Ingress Tool Transfer (T1105) with high confidence (90%), supported by evidence indicating fetching an encrypted second-stage payload from IPFS, Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (85%), supported by evidence indicating c2 communication via 85.137.53.71 (ports 8080, 8081, 8091), and Web Service: One-Way Communication (T1102.003) with moderate to high confidence (70%), supported by evidence indicating decentralized fallback networks for C2 communication. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration via C2 communication (85.137.53.71) and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate to high confidence (70%), supported by evidence indicating encrypted second-stage payload fetched from IPFS. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with high confidence (90%), supported by evidence indicating encrypted logic that could be activated later via remote updates, Masquerading: Match Legitimate Name or Location (T1036.005) with moderate to high confidence (85%), supported by evidence indicating malicious packages published under AsyncAPI’s trusted pipeline, and Subvert Trust Controls: Code Signing (T1553.002) with moderate to high confidence (80%), supported by evidence indicating leveraging a valid npm identity to push poisoned commits. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Microsoft Threat Intelligence Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/microsoft-threat-intelligence/incident/ASYMIC1785327908
- Microsoft Threat Intelligence CyberSecurity Rating page: https://www.rankiteo.com/company/microsoft-threat-intelligence
- Microsoft Threat Intelligence Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/asymic1785327908-asyncapi-microsoft-cyber-attack-july-2026/
- Microsoft Threat Intelligence CyberSecurity Score History: https://www.rankiteo.com/company/microsoft-threat-intelligence/history
- Microsoft Threat Intelligence CyberSecurity Incident Source: https://cybersecuritynews.com/asyncapi-malware-contains-modules/
- 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