Incident Score: Analysis & Impact (CHESAPSEC1777508710)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of SAP'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 SAP 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 SAP breach identified under incident ID CHESAPSEC1777508710.
The analysis begins with a detailed overview of SAP's information like the linkedin page: https://www.linkedin.com/company/sap, the number of followers: 0, the industry type: Software Development and the number of employees: 138981 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 743 and after the incident was 733 with a difference of -10 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 SAP and their customers.
SAP recently reported "SAP npm Packages Compromised in Suspected TeamPCP Supply-Chain Attack", a noteworthy cybersecurity incident.
Security researchers uncovered a supply-chain attack targeting multiple official SAP npm packages, believed to be orchestrated by the TeamPCP threat group.
The disruption is felt across the environment, affecting Developer systems and CI/CD environments, and exposing npm and GitHub authentication tokens, SSH keys and developer credentials and Cloud credentials (AWS, Azure, Google Cloud).
In response, moved swiftly to contain the threat with measures like Affected package versions deprecated on npm.
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%), supported by evidence indicating compromise affected four packages @cap-js/sqlite, @cap-js/postgres, etc. and Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating supply-chain attack targeting multiple official SAP npm packages. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: JavaScript (T1059.007) with high confidence (90%), supported by evidence indicating preinstall script executed setup.mjs to fetch Bun JavaScript runtime, Command and Scripting Interpreter (T1059) with moderate to high confidence (85%), supported by evidence indicating obfuscated execution.js payload ran via Bun runtime, and Serverless Execution (T1648) with moderate to high confidence (70%), supported by evidence indicating malware executed in CI/CD environments via npm package install. Under the Persistence tactic, the analysis identified Hijack Execution Flow: Dynamic Linker Hijacking (T1574.006) with moderate to high confidence (70%), supported by evidence indicating preinstall script in npm packages executed automatically on install. 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 stolen credentials used to modify other accessible packages and Abuse Elevation Control Mechanism (T1548) with moderate confidence (60%), supported by evidence indicating gitHub commit searches decoded base64-encoded tokens to escalate access. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (95%), supported by evidence indicating stole npm/GitHub tokens, SSH keys, cloud credentials, Kubernetes secrets, Unsecured Credentials: Private Keys (T1552.004) with high confidence (90%), supported by evidence indicating sSH keys and developer credentials compromised, OS Credential Dumping: Proc Filesystem (T1003.007) with moderate to high confidence (85%), supported by evidence indicating python script scanned /proc/<pid>/maps and /proc/<pid>/mem for secrets, and Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating npm and GitHub authentication tokens stolen. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating stole CI/CD pipeline secrets and environment variables and Data from Code Repositories (T1213.003) with moderate to high confidence (80%), supported by evidence indicating gitHub commit searches used as dead-drop mechanism. Under the Command and Control tactic, the analysis identified Ingress Tool Transfer (T1105) with moderate to high confidence (85%), supported by evidence indicating fetched Bun JavaScript runtime from GitHub and Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating exfiltrated data to public GitHub repositories. Under the Exfiltration tactic, the analysis identified Exfiltration Over Web Service: Exfiltration to Code Repository (T1567.001) with high confidence (95%), supported by evidence indicating stolen data exfiltrated to public GitHub repositories under victims’ accounts and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data encrypted and exfiltrated via GitHub commits. Under the Lateral Movement tactic, the analysis identified Lateral Tool Transfer (T1570) with moderate to high confidence (80%), supported by evidence indicating self-propagation using stolen credentials to modify other packages. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with high confidence (90%), supported by evidence indicating obfuscated execution.js payload ran via Bun runtime, Hide Artifacts: Hidden Window (T1564.003) with moderate to high confidence (70%), supported by evidence indicating malware bypassed log masking in CI runners, and Indicator Removal: Clear Command History (T1070.001) with moderate confidence (60%), supported by evidence indicating bypassed log masking in CI/CD environments. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- SAP Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/sap/incident/CHESAPSEC1777508710
- SAP CyberSecurity Rating page: https://www.rankiteo.com/company/sap
- SAP Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/chesapsec1777508710-checkmarx-trivy-sap-cyber-attack-april-2026/
- SAP CyberSecurity Score History: https://www.rankiteo.com/company/sap/history
- SAP CyberSecurity Incident Source: https://www.bleepingcomputer.com/news/security/official-sap-npm-packages-compromised-to-steal-credentials/
- 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