Incident Score: Analysis & Impact (LAN1772548356)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Langflow's Vulnerability 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 Langflow 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 Langflow breach identified under incident ID LAN1772548356.
The analysis begins with a detailed overview of Langflow's information like the linkedin page: https://www.linkedin.com/company/langflow, the number of followers: 13093, the industry type: Software Development and the number of employees: 15 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 749 and after the incident was 744 with a difference of -5 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 Langflow and their customers.
Langflow recently reported "Critical Zero-Day Vulnerability in Langflow AI Platform Exposes Systems to Remote Code Execution", a noteworthy cybersecurity incident.
A severe security flaw in Langflow, a widely used AI application platform, has been disclosed, allowing attackers to execute arbitrary code remotely via its CSV data-processing agent.
The disruption is felt across the environment, affecting Complete system compromise, and exposing Unauthorized data access or exfiltration.
In response, moved swiftly to contain the threat with measures like Upgrade to version 1.8.0, and began remediation that includes Disable dangerous code execution setting by default.
The case underscores how teams are taking away lessons such as The discovery underscores the growing risks of AI-driven automation tools with insecure default configurations, particularly in frameworks handling untrusted input, and recommending next steps like Users are strongly advised to upgrade immediately to version 1.8.0 to prevent exploitation.
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 Exploit Public-Facing Application (T1190) with high confidence (90%), supported by evidence indicating severe security flaw in Langflow, a widely used AI application platform and Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating execute arbitrary code remotely via its CSV data-processing agent. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: Python (T1059.006) with high confidence (95%), supported by evidence indicating activates LangChain’s `python_repl_ast` tool...execute Python code and User Execution: Malicious Link (T1204.001) with moderate to high confidence (70%), supported by evidence indicating attackers can exploit it through prompt injection in the chat interface. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating gain full control of the server, enabling data theft, file deletion. Under the Defense Evasion tactic, the analysis identified Deobfuscate/Decode Files or Information (T1140) with moderate confidence (60%), supported by evidence indicating crafting malicious prompts in the chat interface and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating hardcoded setting (`allow_dangerous_code=True`) permanently enabled. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (50%), supported by evidence indicating complete system compromise...unauthorized data access. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating unauthorized data access or exfiltration. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration...without requiring authentication. Under the Impact tactic, the analysis identified Data Destruction (T1485) with moderate to high confidence (70%), supported by evidence indicating file deletion, or malware installation and Data Encrypted for Impact (T1486) with moderate confidence (60%), supported by evidence indicating deployment of ransomware or backdoors. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Langflow Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/langflow/incident/LAN1772548356
- Langflow CyberSecurity Rating page: https://www.rankiteo.com/company/langflow
- Langflow Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/lan1772548356-langflow-vulnerability-march-2026/
- Langflow CyberSecurity Score History: https://www.rankiteo.com/company/langflow/history
- Langflow CyberSecurity Incident Source: https://cybersecuritynews.com/langflows-ai-csv-agent-vulnerability/
- 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