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%), supported by evidence indicating scanning over 2 million hosts with 1 million exposed services, External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating 5,200+ exposed Ollama APIs with 31% responding to unauthenticated queries, and Valid Accounts: Default Accounts (T1078.001) with moderate to high confidence (85%), supported by evidence indicating no authentication by default in self-hosted AI projects. 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: Unix Shell (T1059.004) with moderate confidence (60%), supported by evidence indicating server-side code execution via exposed parsing tools. 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 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: Local Accounts (T1078.003) 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 to high confidence (70%), supported by evidence indicating no authentication enabled by default in AI deployments and Valid Accounts: Default Accounts (T1078.001) with moderate to high confidence (80%), supported by evidence indicating fresh installs with high-privilege access by default. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (90%), supported by evidence indicating hardcoded credentials in setup examples and docker-compose files and Unsecured Credentials: Container API (T1552.007) with moderate to high confidence (80%), supported by evidence indicating aPI keys leaked in plaintext by NSFW chatbots. 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 Discovery (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 (80%), supported by evidence indicating lLM conversation logs and user conversation histories exposed and Data from Information Repositories: Code Repositories (T1213.003) with moderate to high confidence (70%), supported by evidence indicating credential lists and business logic exposed in Flowise deployments. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exposure via unauthenticated APIs and misconfigured services and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating cloud management integrations exposed via Ollama APIs. 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 response poisoning and traffic redirection via exposed agent platforms. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.