Incident Score: Analysis & Impact (LAN1781180750)
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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 LAN1781180750.
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 739 and after the incident was 734 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.
On 27 March 2024, Langflow disclosed Vulnerability Exploitation issues under the banner "Critical Langflow Vulnerability Exploited in the Wild, Enabling Remote Code Execution".
Threat actors are actively exploiting a high-severity vulnerability (CVE-2026-5027, CVSS 8.8) in Langflow, a popular low-code AI development platform.
The disruption is felt across the environment, affecting 7,000 internet-exposed Langflow instances.
Formal response steps have not been shared publicly yet.
Overall, the incident is a reminder of why proactive monitoring and strong governance matter.
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 (95%), with evidence including high-severity vulnerability (CVE-2026-5027) in Langflow, and 7,000 internet-exposed Langflow instances and External Remote Services (T1133) with high confidence (90%), with evidence including exploiting...POST /api/v2/files endpoint, and default auto-login feature grants session tokens without credentials. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with high confidence (90%), with evidence including enables unauthenticated remote code execution (RCE), and path traversal issue allows writing files to arbitrary locations and Command and Scripting Interpreter (T1059) with moderate to high confidence (80%), supported by evidence indicating remote Code Execution (RCE) enabled on affected systems. Under the Persistence tactic, the analysis identified Server Software Component: Web Shell (T1505.003) with moderate to high confidence (70%), supported by evidence indicating attackers can write files to arbitrary system locations. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating rCE via path traversal vulnerability (CVE-2026-5027). Under the Defense Evasion tactic, the analysis identified BITS Jobs (T1197) with moderate confidence (50%), supported by evidence indicating attackers dropped test files on victim systems and Masquerading (T1036) with moderate confidence (60%), supported by evidence indicating manipulating the `filename` parameter in POST request. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), with evidence including attack threatening the organizations existence, and aI development infrastructure targeted. 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/LAN1781180750
- Langflow CyberSecurity Rating page: https://www.rankiteo.com/company/langflow
- Langflow Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/lan1781180750-langflow-vulnerability-march-2026/
- Langflow CyberSecurity Score History: https://www.rankiteo.com/company/langflow/history
- Langflow CyberSecurity Incident Source: https://www.securityweek.com/hackers-exploit-langflow-vulnerability-for-remote-code-execution/
- 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