Incident Score: Analysis & Impact (FLODEEANTOPEN8N1777984637)

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 Exploit Public-Facing Application (T1190) with high confidence (90%), with evidence including scanning over 2 million hosts with 1 million exposed services, and 5,200+ exposed Ollama APIs with 31% responding to unauthenticated queries, Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including no authentication by default in self-hosted AI projects, and static credentials embedded in setup examples, and External Remote Services (T1133) with moderate to high confidence (85%), supported by evidence indicating exposed agent platforms (n8n, Flowise) with misconfigured internet access. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (70%), supported by evidence indicating arbitrary code execution found in a popular AI project and Command and Scripting Interpreter (T1059) with moderate to high confidence (75%), supported by evidence indicating exposed parsing tools and local functions capable of server-side code execution. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate to high confidence (70%), supported by evidence indicating users granted high-privilege access by default in fresh installs and Server Software Component: Web Shell (T1505.003) with moderate confidence (60%), supported by evidence indicating exposed agent platforms enabling workflow modification. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating applications running as root in misconfigured Docker setups and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating hardcoded credentials in docker-compose files. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating no authentication by default in AI projects and Valid Accounts: Default Accounts (T1078.001) with moderate to high confidence (80%), supported by evidence indicating high-privilege access granted by default in fresh installs. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (90%), with evidence including hardcoded credentials in setup examples and docker-compose files, and nSFW chatbots leaking API keys in plaintext and Valid Accounts (T1078) with moderate to high confidence (85%), supported by evidence indicating static credentials embedded in setup examples. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating exposed Flowise deployment revealed entire LLM chatbot’s business logic and Network Service Scanning (T1046) with high confidence (90%), supported by evidence indicating scanning over 2 million hosts with 1 million exposed services. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (85%), supported by evidence indicating lLM conversation logs, API keys, and user conversation histories exposed and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating exposed parsing tools and credential lists in agent platforms. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exposure risks highlighted for 90+ instances in government/finance and Exfiltration Over Alternative Protocol (T1048) with moderate confidence (60%), supported by evidence indicating unauthenticated access to Ollama APIs wrapping paid models. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to enterprise systems via exposed APIs and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate to high confidence (80%), supported by evidence indicating attackers could modify workflows, redirect traffic, or poison responses. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.