Incident Score: Analysis & Impact (MARSYS1776075943)
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 Sysdig'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 Sysdig 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 Sysdig breach identified under incident ID MARSYS1776075943.
The analysis begins with a detailed overview of Sysdig's information like the linkedin page: https://www.linkedin.com/company/sysdig, the number of followers: 61116, the industry type: Computer and Network Security and the number of employees: 639 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 756 and after the incident was 755 with a difference of -1 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 Sysdig and their customers.
On 08 April 2026, Marimo disclosed Remote Code Execution (RCE) issues under the banner "Critical Marimo RCE Vulnerability Exploited Within Hours of Disclosure".
A severe remote code execution (RCE) vulnerability in Marimo, an open-source Python notebook platform, was actively exploited just 9 hours and 41 minutes after its public disclosure on April 8, 2026.
The disruption is felt across the environment, affecting Marimo instances (versions 0.20.4 and earlier), and exposing AWS access keys, .env file contents.
In response, moved swiftly to contain the threat with measures like Patch released (version 0.23.0), and began remediation that includes Rotate exposed credentials, review logs for unauthorized access.
The case underscores how Ongoing (initial exploitation detected), teams are taking away lessons such as Attackers rapidly weaponize vulnerabilities in niche software, even without public PoC exploits. Organizations must prioritize patching and credential rotation for open-source tools, and recommending next steps like Upgrade to Marimo version 0.23.0 or later, Rotate all exposed credentials (e.g., AWS keys) and Review logs for unauthorized access to /terminal/ws endpoint.
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 severe remote code execution (RCE) vulnerability in Marimo, and /terminal/ws WebSocket endpoint...lacks proper authentication checks. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with high confidence (90%), with evidence including allows unauthenticated attackers to gain a full interactive shell, and automated script to confirm RCE. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (95%), supported by evidence indicating extracted a .env file containing sensitive cloud credentials, including AWS access keys. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including attacker manually navigating the victim’s filesystem, and .env file containing sensitive cloud credentials. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (85%), with evidence including data exfiltration such as Yes (.env file extracted), and extracted a .env file...within three minutes. Under the Lateral Movement tactic, the analysis identified Use Alternate Authentication Material: Application Access Token (T1550.001) with moderate to high confidence (70%), with evidence including aWS access keys...potential cloud resource compromise, and motivation such as Credential theft, potential lateral movement. Under the Defense Evasion tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), with evidence including no public proof-of-concept (PoC) exploit existed at the time, and webSocket endpoint...fails to validate user sessions. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Sysdig Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/sysdig/incident/MARSYS1776075943
- Sysdig CyberSecurity Rating page: https://www.rankiteo.com/company/sysdig
- Sysdig Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/marsys1776075943-marimo-sysdig-vulnerability-april-2026/
- Sysdig CyberSecurity Score History: https://www.rankiteo.com/company/sysdig/history
- Sysdig CyberSecurity Incident Source: https://gbhackers.com/marimo-rce-vulnerability-exploited/
- 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