Incident Score: Analysis & Impact (NPMGLU1778552678)
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 gluestack'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 gluestack 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 gluestack breach identified under incident ID NPMGLU1778552678.
The analysis begins with a detailed overview of gluestack's information like the linkedin page: https://www.linkedin.com/company/gluestackio, the number of followers: 613, the industry type: Software Development and the number of employees: 1 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 749 and after the incident was 730 with a difference of -19 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 gluestack and their customers.
On 06 June 2025, GlueStack disclosed Supply Chain Attack, Malware Distribution and Wiper Malware issues under the banner "Supply Chain Attack Targets GlueStack and npm Packages, Delivering Malware and Wiper Malware".
Cybersecurity researchers uncovered a supply chain attack targeting GlueStack and other npm packages, delivering malware capable of executing shell commands, capturing screenshots, and exfiltrating files.
The disruption is felt across the environment, affecting npm packages (@gluestack-ui, @react-native-aria) and PyPI packages (imad213, poppo213), and exposing System data, Public IP addresses and Instagram credentials.
In response, moved swiftly to contain the threat with measures like Deprecation of affected packages and Revocation of non-essential contributor access, and began remediation that includes Enforcement of two-factor authentication (2FA).
The case underscores how Ongoing, teams are taking away lessons such as The incident highlights the risks of supply chain attacks, the importance of securing contributor access, and the need for enhanced monitoring of package registries, and recommending next steps like Enforce two-factor authentication (2FA) for all contributors, Regularly audit access tokens and permissions and Monitor package registries for suspicious activity.
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 supply chain attack targeting GlueStack and other npm packages, and 13 packages under @gluestack-ui and @react-native-aria namespaces affected and Compromise Software Supply Chain (T1195.002) with high confidence (90%), with evidence including compromised access token belonging to a contributor allowed malicious updates, and malicious PyPI packages (imad213, poppo213) discovered. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with moderate to high confidence (85%), with evidence including malware capable of executing shell commands, and wiper malware executes `rm -rf *` upon receiving hard-coded key and User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), with evidence including nearly 1 million weekly downloads of malicious npm packages, and 3,242+ downloads of malicious PyPI packages. Under the Persistence tactic, the analysis identified Server Software Component: Transport Agent (T1505.002) with moderate to high confidence (70%), supported by evidence indicating malware’s persistence mechanism could maintain access even after updates. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (85%), supported by evidence indicating compromised access token belonging to a contributor allowed malicious updates. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with high confidence (90%), with evidence including `express-api-sync` masquerades as a database sync tool, and `imad213` poses as an Instagram growth tool and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating remote kill switch hosted on Netlify to disable malware. Under the Credential Access tactic, the analysis identified Adversary-in-the-Middle (T1557) with moderate to high confidence (85%), supported by evidence indicating python-based credential harvester prompts users for Instagram credentials and Input Capture: Keylogging (T1056.001) with moderate to high confidence (70%), supported by evidence indicating credential harvester targets Facebook, Gmail, Twitter, and VK credentials. Under the Discovery tactic, the analysis identified System Information Discovery (T1082) with moderate to high confidence (80%), supported by evidence indicating malware includes commands (`ss_info` and `ss_ip`) to harvest system data and public IP addresses. Under the Collection tactic, the analysis identified Screen Capture (T1113) with moderate to high confidence (80%), supported by evidence indicating malware capable of capturing screenshots and Data from Local System (T1005) with moderate to high confidence (85%), with evidence including malware exfiltrates files, and system details sent via SMTP email. Under the Command and Control tactic, the analysis identified Remote Access Software (T1219) with high confidence (90%), supported by evidence indicating updated remote access trojan (RAT) with new commands for data harvesting. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (85%), with evidence including data exfiltrated via remote access trojan, and system details sent via SMTP email. Under the Impact tactic, the analysis identified Data Destruction (T1485) with high confidence (90%), with evidence including wiper malware executes `rm -rf *` to delete all files in current directory, and oS-specific deletion commands in `system-health-sync-api` and Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating dDoS tool (`poppo213`) discovered among malicious PyPI packages. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- gluestack Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/gluestackio/incident/NPMGLU1778552678
- gluestack CyberSecurity Rating page: https://www.rankiteo.com/company/gluestackio
- gluestack Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/npmglu1778552678-gluestack-npm-cyber-attack-june-2025/
- gluestack CyberSecurity Score History: https://www.rankiteo.com/company/gluestackio/history
- gluestack CyberSecurity Incident Source: https://thehackernews.com/2025/06/new-supply-chain-malware-operation-hits.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