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Analyze » SAP » SAP1780352800

Incident Score: Analysis & Impact (SAP1780352800)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-10
Company Score Before Incident733 / 1000
Company Score After Incident723 / 1000
Company LinkView SAP Profile
INCIDENT NUMBERSAP1780352800
Type of Cyber IncidentCyber Attack
ATTACK VECTORCompromised GitHub account, malicious GitHub Actions workflow, backdoored npm packages
DATA EXPOSEDDeveloper credentials, cloud secrets, SSH...
INCIDENT DATE30/04/2026
STATUSOngoing (root cause under investigation)

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 SAP1780352800.

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 733 and after the incident was 723 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.

Red Hat recently reported "Red Hat npm Packages Compromised in Supply-Chain Attack Distributing Miasma Malware", a noteworthy cybersecurity incident.

Security researchers at Aikido and OX Security uncovered a supply-chain attack targeting over 30 npm packages under Red Hat’s @redhat-cloud-services namespace, distributing a new variant of the Shai-Hulud credential-stealing malware, dubbed Miasma.

The disruption is felt across the environment, affecting 32 npm packages (96 versions) under @redhat-cloud-services namespace, 309 GitHub repositories, and exposing Developer credentials, cloud secrets, SSH keys, CI/CD tokens, environment files, AWS/Google Cloud/Azure credentials, HashiCorp Vault secrets, Kubernetes tokens, npm/PyPI/Docker credentials, GPG keys, .env files.

In response, moved swiftly to contain the threat with measures like Removed compromised packages from npm registry, and began remediation that includes Investigation into root cause, removal of malicious code, and stakeholders are being briefed through Public disclosure of incident, confirmation of no customer impact.

The case underscores how Ongoing (root cause under investigation), with advisories going out to stakeholders covering No impact on customer-facing systems or production environments.

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 (90%), supported by evidence indicating supply-chain attack targeting over 30 npm packages under Red Hat’s @redhat-cloud-services and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), supported by evidence indicating compromised GitHub account belonging to a Red Hat employee. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: JavaScript (T1059.007) with high confidence (90%), supported by evidence indicating executed a preinstall script triggering a 4.2 MB obfuscated index.js payload and Serverless Execution (T1648) with moderate to high confidence (70%), supported by evidence indicating gitHub Actions workflow abused npm’s publishing mechanism. Under the Persistence tactic, the analysis identified Compromise Software Dependencies and Development Tools (T1554) with high confidence (90%), supported by evidence indicating backdoored versions of the packages released via npm publishing mechanism. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (95%), supported by evidence indicating harvest credentials from .env files, AWS/Google Cloud/Azure credentials, Unsecured Credentials: Private Keys (T1552.004) with high confidence (90%), supported by evidence indicating sSH keys, GPG keys compromised, and Steal Application Access Token (T1528) with moderate to high confidence (80%), supported by evidence indicating cI/CD tokens, Kubernetes tokens, npm/PyPI/Docker credentials stolen. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating harvest credentials from local systems, environment files. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating miasma malware designed to exfiltrate sensitive data. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with high confidence (90%), supported by evidence indicating 4.2 MB obfuscated index.js payload and Deobfuscate/Decode Files or Information (T1140) with moderate to high confidence (70%), supported by evidence indicating miasma introduces enhanced obfuscation, multi-stage payload delivery. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise: Compromise Software Supply Chain (90%)
Valid Accounts: Cloud Accounts (80%)
Execution
Command and Scripting Interpreter: JavaScript (90%)
Serverless Execution (70%)
Persistence
Compromise Software Dependencies and Development Tools (90%)
Credential Access
Unsecured Credentials: Credentials In Files (95%)
Unsecured Credentials: Private Keys (90%)
Steal Application Access Token (80%)
Collection
Data from Local System (90%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Defense Evasion
Obfuscated Files or Information (90%)
Deobfuscate/Decode Files or Information (70%)