Shai-hulud 2.0 Campaign Targets Cloud and Developer Ecosystems
The Shai-hulud 2. 0 campaign is an advanced malware operation targeting cloud platforms (AWS, GCP, Azure) and developer ecosystems by stealing credentials and secrets. It automates backdooring of NPM packages maintained by victims, enabling rapid supply chain propagation. The malware abuses GitHub Actions workflows for command-and-control and secret exfiltration, leveraging cloud secret management services and destructive failsafes to maintain stealth and persistence. This campaign threatens the confidentiality and integrity of cloud and developer environments, potentially impacting thousands of downstream users. It requires no known exploits in the wild but uses sophisticated tactics to evade detection. European organizations relying heavily on cloud services and open-source development are at risk, especially those with significant use of NPM packages and GitHub repositories. The threat severity is assessed as high due to the broad impact on supply chains and credential theft without requiring user interaction. Immediate mitigation includes securing cloud credentials, auditing GitHub workflows, and monitoring supply chain dependencies for unauthorized changes.
AI Analysis
Technical Summary
The Shai-hulud 2.0 campaign represents a sophisticated malware threat targeting major cloud platforms—Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure—as well as developer ecosystems, particularly focusing on NPM packages and GitHub repositories. The malware steals credentials and tokens used for authentication and secret management, enabling attackers to gain unauthorized access to cloud resources and developer accounts. A key feature of this campaign is the automated backdooring of NPM packages maintained by compromised victims, which facilitates rapid and stealthy propagation across the software supply chain, potentially affecting thousands of downstream users who consume these packages. The malware also creates malicious GitHub Actions workflows, which serve as command-and-control channels and mechanisms for exfiltrating secrets. It leverages cloud secret management services to hide its activities and implements destructive failsafes to prevent easy removal or detection. The campaign employs multiple MITRE ATT&CK techniques such as credential dumping (T1555), token manipulation (T1552), persistence via service creation (T1543.003), and abuse of scheduled tasks or workflows (T1053.003). Despite the lack of known exploits in the wild, the campaign’s complexity and automation capabilities make it a significant threat to cloud and developer environments. The campaign’s focus on supply chain compromise and cloud credential theft poses a high risk to organizations relying on these ecosystems for software development and deployment.
Potential Impact
For European organizations, the Shai-hulud 2.0 campaign poses a substantial risk to the confidentiality, integrity, and availability of cloud infrastructure and software supply chains. Theft of cloud credentials can lead to unauthorized access to sensitive data, disruption of cloud services, and potential lateral movement within corporate networks. The automated backdooring of NPM packages threatens the integrity of software supply chains, risking widespread distribution of malicious code to dependent organizations and end users. This can result in data breaches, service outages, and reputational damage. The use of GitHub Actions workflows for command-and-control and secret exfiltration complicates detection and remediation efforts, increasing the likelihood of prolonged undetected compromise. European companies heavily invested in cloud services and open-source development, including those in finance, technology, and critical infrastructure sectors, could face operational disruptions and regulatory consequences under GDPR if sensitive data is exposed. The campaign’s destructive failsafes also raise the potential for data loss or system damage if remediation attempts trigger these mechanisms.
Mitigation Recommendations
1. Enforce strict credential hygiene: rotate and limit the scope of AWS, GCP, and Azure credentials and tokens regularly. 2. Implement multi-factor authentication (MFA) on all cloud and developer platform accounts to reduce the risk of credential misuse. 3. Audit and monitor GitHub repositories for unauthorized changes, especially in GitHub Actions workflows, and restrict permissions for workflow modifications. 4. Use dependency scanning tools to detect and block backdoored or malicious NPM packages before they enter the build pipeline. 5. Employ cloud security posture management (CSPM) tools to monitor secret management services and detect anomalous access patterns. 6. Establish anomaly detection and alerting for unusual outbound network traffic from developer environments and CI/CD pipelines. 7. Conduct regular supply chain risk assessments and implement software bill of materials (SBOM) tracking to identify affected dependencies. 8. Harden developer workstations and CI/CD infrastructure against credential dumping and persistence techniques. 9. Prepare incident response plans that include procedures for supply chain compromise and cloud credential theft scenarios. 10. Educate developers and DevOps teams on secure coding practices and the risks of supply chain attacks.
Affected Countries
Germany, United Kingdom, France, Netherlands, Sweden, Finland, Ireland, Belgium
Indicators of Compromise
- hash: 207b3c83c0460d5ed9091036af2b357a
- hash: 2711e7496f9943ad1fac508ef5665867
- hash: 4d6b9efc22ec229be58b90c7991c02dd
- hash: 6914d930998108adfc93b7fe1aa3e64e
- hash: 3d7570d14d34b0ba137d502f042b27b0f37a59fa
- hash: 8de87cf4fbdd1b490991a1ceb9c1198013d268c2
- hash: d1829b4708126dcc7bea7437c04d1f10eacd4a16
- hash: d60ec97eea19fffb4809bc35b91033b52490ca11
- hash: 62ee164b9b306250c1172583f138c9614139264f889fa99614903c12755468d0
- hash: a3894003ad1d293ba96d77881ccd2071446dc3f65f434669b49b3da92421901a
- hash: cbb9bc5a8496243e02f3cc080efbe3e4a1430ba0671f2e43a202bf45b05479cd
- hash: e0250076c1d2ac38777ea8f542431daf61fcbaab0ca9c196614b28065ef5b918
- hash: f099c5d9ec417d4445a0328ac0ada9cde79fc37410914103ae9c609cbc0ee068
- hash: f1df4896244500671eb4aa63ebb48ea11cee196fafaa0e9874e17b24ac053c02
Shai-hulud 2.0 Campaign Targets Cloud and Developer Ecosystems
Description
The Shai-hulud 2. 0 campaign is an advanced malware operation targeting cloud platforms (AWS, GCP, Azure) and developer ecosystems by stealing credentials and secrets. It automates backdooring of NPM packages maintained by victims, enabling rapid supply chain propagation. The malware abuses GitHub Actions workflows for command-and-control and secret exfiltration, leveraging cloud secret management services and destructive failsafes to maintain stealth and persistence. This campaign threatens the confidentiality and integrity of cloud and developer environments, potentially impacting thousands of downstream users. It requires no known exploits in the wild but uses sophisticated tactics to evade detection. European organizations relying heavily on cloud services and open-source development are at risk, especially those with significant use of NPM packages and GitHub repositories. The threat severity is assessed as high due to the broad impact on supply chains and credential theft without requiring user interaction. Immediate mitigation includes securing cloud credentials, auditing GitHub workflows, and monitoring supply chain dependencies for unauthorized changes.
AI-Powered Analysis
Technical Analysis
The Shai-hulud 2.0 campaign represents a sophisticated malware threat targeting major cloud platforms—Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure—as well as developer ecosystems, particularly focusing on NPM packages and GitHub repositories. The malware steals credentials and tokens used for authentication and secret management, enabling attackers to gain unauthorized access to cloud resources and developer accounts. A key feature of this campaign is the automated backdooring of NPM packages maintained by compromised victims, which facilitates rapid and stealthy propagation across the software supply chain, potentially affecting thousands of downstream users who consume these packages. The malware also creates malicious GitHub Actions workflows, which serve as command-and-control channels and mechanisms for exfiltrating secrets. It leverages cloud secret management services to hide its activities and implements destructive failsafes to prevent easy removal or detection. The campaign employs multiple MITRE ATT&CK techniques such as credential dumping (T1555), token manipulation (T1552), persistence via service creation (T1543.003), and abuse of scheduled tasks or workflows (T1053.003). Despite the lack of known exploits in the wild, the campaign’s complexity and automation capabilities make it a significant threat to cloud and developer environments. The campaign’s focus on supply chain compromise and cloud credential theft poses a high risk to organizations relying on these ecosystems for software development and deployment.
Potential Impact
For European organizations, the Shai-hulud 2.0 campaign poses a substantial risk to the confidentiality, integrity, and availability of cloud infrastructure and software supply chains. Theft of cloud credentials can lead to unauthorized access to sensitive data, disruption of cloud services, and potential lateral movement within corporate networks. The automated backdooring of NPM packages threatens the integrity of software supply chains, risking widespread distribution of malicious code to dependent organizations and end users. This can result in data breaches, service outages, and reputational damage. The use of GitHub Actions workflows for command-and-control and secret exfiltration complicates detection and remediation efforts, increasing the likelihood of prolonged undetected compromise. European companies heavily invested in cloud services and open-source development, including those in finance, technology, and critical infrastructure sectors, could face operational disruptions and regulatory consequences under GDPR if sensitive data is exposed. The campaign’s destructive failsafes also raise the potential for data loss or system damage if remediation attempts trigger these mechanisms.
Mitigation Recommendations
1. Enforce strict credential hygiene: rotate and limit the scope of AWS, GCP, and Azure credentials and tokens regularly. 2. Implement multi-factor authentication (MFA) on all cloud and developer platform accounts to reduce the risk of credential misuse. 3. Audit and monitor GitHub repositories for unauthorized changes, especially in GitHub Actions workflows, and restrict permissions for workflow modifications. 4. Use dependency scanning tools to detect and block backdoored or malicious NPM packages before they enter the build pipeline. 5. Employ cloud security posture management (CSPM) tools to monitor secret management services and detect anomalous access patterns. 6. Establish anomaly detection and alerting for unusual outbound network traffic from developer environments and CI/CD pipelines. 7. Conduct regular supply chain risk assessments and implement software bill of materials (SBOM) tracking to identify affected dependencies. 8. Harden developer workstations and CI/CD infrastructure against credential dumping and persistence techniques. 9. Prepare incident response plans that include procedures for supply chain compromise and cloud credential theft scenarios. 10. Educate developers and DevOps teams on secure coding practices and the risks of supply chain attacks.
Affected Countries
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Technical Details
- Author
- AlienVault
- Tlp
- white
- References
- ["https://www.trendmicro.com/en_us/research/25/k/shai-hulud-2-0-targets-cloud-and-developer-systems.html"]
- Adversary
- Shai-hulud
- Pulse Id
- 69285c74af9f622adc6b66d1
- Threat Score
- null
Indicators of Compromise
Hash
| Value | Description | Copy |
|---|---|---|
hash207b3c83c0460d5ed9091036af2b357a | — | |
hash2711e7496f9943ad1fac508ef5665867 | — | |
hash4d6b9efc22ec229be58b90c7991c02dd | — | |
hash6914d930998108adfc93b7fe1aa3e64e | — | |
hash3d7570d14d34b0ba137d502f042b27b0f37a59fa | — | |
hash8de87cf4fbdd1b490991a1ceb9c1198013d268c2 | — | |
hashd1829b4708126dcc7bea7437c04d1f10eacd4a16 | — | |
hashd60ec97eea19fffb4809bc35b91033b52490ca11 | — | |
hash62ee164b9b306250c1172583f138c9614139264f889fa99614903c12755468d0 | — | |
hasha3894003ad1d293ba96d77881ccd2071446dc3f65f434669b49b3da92421901a | — | |
hashcbb9bc5a8496243e02f3cc080efbe3e4a1430ba0671f2e43a202bf45b05479cd | — | |
hashe0250076c1d2ac38777ea8f542431daf61fcbaab0ca9c196614b28065ef5b918 | — | |
hashf099c5d9ec417d4445a0328ac0ada9cde79fc37410914103ae9c609cbc0ee068 | — | |
hashf1df4896244500671eb4aa63ebb48ea11cee196fafaa0e9874e17b24ac053c02 | — |
Threat ID: 692896ecb57256b0cea75afa
Added to database: 11/27/2025, 6:22:36 PM
Last enriched: 11/27/2025, 6:37:36 PM
Last updated: 12/5/2025, 12:09:32 AM
Views: 146
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