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Analyze » Kubernetes » KUB1773764746

Incident Score: Analysis & Impact (KUB1773764746)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-5
Company Score Before Incident746 / 1000
Company Score After Incident741 / 1000
Company LinkView Kubernetes Profile
INCIDENT NUMBERKUB1773764746
Type of Cyber IncidentVulnerability
ATTACK VECTORPath traversal sequences in PersistentVolume volumeHandle
DATA EXPOSEDNA
INCIDENT DATE16/03/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Kubernetes'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 Kubernetes 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 Kubernetes breach identified under incident ID KUB1773764746.

The analysis begins with a detailed overview of Kubernetes's information like the linkedin page: https://www.linkedin.com/company/kubernetes, the number of followers: 20144, the industry type: Software Development and the number of employees: 90 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 746 and after the incident was 741 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 Kubernetes and their customers.

A newly reported cybersecurity incident, "Kubernetes NFS CSI Driver Vulnerability Exposes Clusters to Path Traversal Attacks", has drawn attention.

A critical path traversal vulnerability (CVE-2024-3177) has been discovered in the Kubernetes Container Storage Interface (CSI) Driver for NFS, potentially allowing attackers to delete or modify unintended directories on connected NFS servers.

The disruption is felt across the environment, affecting NFS servers connected to vulnerable Kubernetes clusters.

In response, moved swiftly to contain the threat with measures like Restrict PersistentVolume creation privileges to trusted users, and began remediation that includes Upgrade NFS CSI Driver to v4.13.1 or later.

The case underscores how and recommending next steps like Upgrade the NFS CSI Driver to v4.13.1 or later, Restrict PersistentVolume creation privileges to trusted users and Audit NFS exports to ensure only intended directories are writable by the driver.

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 lower confidence (40%), supported by evidence indicating vulnerability in the Kubernetes CSI Driver for NFS and Exploitation for Privilege Escalation (T1068) with moderate confidence (60%), supported by evidence indicating attackers with permissions to create PersistentVolumes. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating insufficient validation of the `subDir` parameter in volume identifiers. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (50%), supported by evidence indicating path traversal sequences (e.g., `../`) in volumeHandle. Under the Impact tactic, the analysis identified Data Destruction (T1485) with moderate to high confidence (80%), supported by evidence indicating allowing attackers to delete or modify unintended directories on NFS servers and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate to high confidence (80%), supported by evidence indicating unauthorized modifications or deletions on the NFS server. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (40%)
Exploitation for Privilege Escalation (60%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Defense Evasion
Hide Artifacts: Hidden Files and Directories (50%)
Impact
Data Destruction (80%)
Data Manipulation: Stored Data Manipulation (80%)

Sources & References