Incident Score: Analysis & Impact (PYPGIT1PA1778761827)

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%), with evidence including infiltrating over 170 npm packages and two PyPI libraries, and malicious npm/PyPI packages, Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating large-Scale Supply Chain Attack Compromises 170+ npm Packages, and Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating exploited untrusted forked code to execute within a privileged environment. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: JavaScript (T1059.007) with high confidence (90%), with evidence including obfuscated JavaScript payload, and hidden preinstall script that executes during installation, Command and Scripting Interpreter: Python (T1059.006) with moderate to high confidence (80%), supported by evidence indicating pyPI variant embeds a downloader in the import process, and User Execution: Malicious File (T1204.002) with moderate to high confidence (85%), supported by evidence indicating malicious npm packages contain a hidden preinstall script. Under the Persistence tactic, the analysis identified Compromise Client Software Binary (T1554) with high confidence (90%), supported by evidence indicating modifies legitimate package code, injects malicious components and Hijack Execution Flow: DLL Side-Loading (T1574.002) with moderate to high confidence (70%), supported by evidence indicating republishes infected versions, turning compromised environments into new attack vectors. 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 exploited untrusted forked code to execute within a privileged environment and Boot or Logon Autostart Execution: XDG Autostart Entries (T1547.013) with moderate confidence (50%), supported by evidence indicating worm-like propagation across development ecosystems. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with high confidence (95%), supported by evidence indicating multi-layered obfuscation, PBKDF2-SHA256 encryption, AES-256 runtime decryption, Masquerading: Match Legitimate Name or Location (T1036.005) with high confidence (90%), supported by evidence indicating modifies legitimate package code, injects malicious components, and Hide Artifacts: Hidden Window (T1564.003) with moderate to high confidence (70%), supported by evidence indicating hidden preinstall script that executes during installation. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (95%), supported by evidence indicating extracts GitHub Actions tokens, OIDC identity data, and npm publishing credentials, Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (90%), supported by evidence indicating targets .npmrc files, shell history, and API keys, Credentials from Password Stores: Password Managers (T1555.005) with moderate to high confidence (85%), supported by evidence indicating password manager data (1Password, Bitwarden), and Unsecured Credentials: Cloud Instance Metadata API (T1552.005) with moderate to high confidence (80%), supported by evidence indicating aWS, GCP, and Azure credentials via environment variables, files, and metadata services. Under the Discovery tactic, the analysis identified Account Discovery: Cloud Account (T1087.004) with moderate to high confidence (80%), supported by evidence indicating targets AWS, GCP, and Azure credentials and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating targets shell history, .npmrc files, and SSH keys. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating targets local systems, developer tools, and cloud platforms and Data from Information Repositories: Code Repositories (T1213.003) with moderate to high confidence (85%), supported by evidence indicating steals GitHub tokens, Actions secrets, and npm credentials. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating encrypted uploads to attacker-controlled servers and Ingress Tool Transfer (T1105) with moderate to high confidence (75%), supported by evidence indicating downloader in the import process, fetching a remote Python payload. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating stolen data is exfiltrated through encrypted uploads to attacker-controlled servers and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate to high confidence (80%), supported by evidence indicating exfiltrated through GitHub repositories and decentralized networks. Under the Impact tactic, the analysis identified Data Destruction (T1485) with moderate to high confidence (70%), supported by evidence indicating dead-man switch...may trigger destructive actions, such as wiping the infected system, Data Encrypted for Impact (T1486) with moderate confidence (60%), supported by evidence indicating aES-256 runtime decryption for payload obfuscation, and Resource Hijacking (T1496) with moderate to high confidence (80%), supported by evidence indicating turning compromised environments into new attack vectors. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.