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Analyze » OpenSSF » OPE0925109112625

Incident Score: Analysis & Impact (OPE0925109112625)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-1
Company Score Before Incident749 / 1000
Company Score After Incident748 / 1000
Company LinkView OpenSSF Profile
INCIDENT NUMBEROPE0925109112625
Type of Cyber IncidentVulnerability
ATTACK VECTORLocal/Remote (SMB Protocol), Concurrent Session Exploitation
DATA EXPOSEDNA
INCIDENT DATE22/05/2025
STATUSDisclosed (proof-of-concept phase; patch development likely pending)

Key Highlights From The Incident Analysis

  • Timeline of OpenSSF'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 OpenSSF 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 OpenSSF breach identified under incident ID OPE0925109112625.

The analysis begins with a detailed overview of OpenSSF's information like the linkedin page: https://www.linkedin.com/company/openssf, the number of followers: 12746, the industry type: IT Services and IT Consulting and the number of employees: 27 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 748 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 OpenSSF and their customers.

Linux Kernel Community recently reported "Zero-Day Vulnerability in Linux Kernel SMB Implementation (CVE-2025-37899)", a noteworthy cybersecurity incident.

A zero-day vulnerability (CVE-2025-37899) in the Linux kernel’s SMB (Server Message Block) implementation was discovered using OpenAI’s o3 language model.

The disruption is felt across the environment, affecting Linux Kernel (ksmbd module) and Systems using SMB3 protocol.

In response, and began remediation that includes Proposed fixes for session object handling (e.g., synchronization mechanisms) and AI-suggested improvements over manual patches (e.g., addressing multi-connection session binding), and stakeholders are being briefed through Technical blog by Sean H and Potential CVE publication and patch coordination.

The case underscores how Disclosed (proof-of-concept phase; patch development likely pending), teams are taking away lessons such as AI models (e.g., o3) can effectively augment human expertise in vulnerability research, especially for complex concurrency issues, LLMs excel in targeted code analysis but struggle with large codebases and false positives (28% in this case) and AI can provide superior remediation advice by identifying edge cases (e.g., multi-connection session binding in SMB), and recommending next steps like Integrate AI-assisted tools (e.g., o3) into vulnerability research pipelines for targeted analysis, Develop synchronization mechanisms for SMB session handling to prevent use-after-free scenarios and Prioritize fixes for concurrency-related flaws in kernel modules like ksmbd, with advisories going out to stakeholders covering Linux kernel maintainers, Enterprise IT teams using SMB3 and Security researchers.

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 Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with high confidence (95%), supported by evidence indicating arbitrary code execution in kernel mode via CVE-2025-37899 (use-after-free in ksmbd). Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with high confidence (90%), supported by evidence indicating remote code execution (RCE) attacks via malicious SMB connections. Under the Impact tactic, the analysis identified Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate to high confidence (85%), supported by evidence indicating system crashes, Denial-of-Service (DoS) via kernel memory corruption and Endpoint Denial of Service (T1499) with moderate to high confidence (85%), supported by evidence indicating potential system crashes from use-after-free in ksmbd SMB2 LOGOFF handler. Under the Defense Evasion tactic, the analysis identified Rootkit (T1014) with moderate to high confidence (70%), supported by evidence indicating kernel memory corruption enabling stealthy persistence via modified kernel objects. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Sources & References