Incident Score: Analysis & Impact (SUPHEW1785241451)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Supermicro'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 Supermicro 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 Supermicro breach identified under incident ID SUPHEW1785241451.
The analysis begins with a detailed overview of Supermicro's information like the linkedin page: https://www.linkedin.com/company/supermicro, the number of followers: 202077, the industry type: Computer Hardware Manufacturing and the number of employees: 5707 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 802 and after the incident was 797 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 Supermicro and their customers.
Supermicro recently reported "24,000 Internet-Exposed Servers Leak Password Hashes Due to 20-Year-Old BMC Vulnerability", a noteworthy cybersecurity incident.
Researchers at cybersecurity firm Lava identified over 24,650 internet-exposed servers leaking authentication password hashes due to a two-decade-old vulnerability (CVE-2013-4786) in their Baseboard Management Controller (BMC) interfaces.
The disruption is felt across the environment, affecting 24,650 internet-exposed servers, and exposing Authentication password hashes, with nearly 24,650 servers leaked password-derived authentication material records at risk.
In response, and began remediation that includes Rotate default passwords, isolate management networks, restrict BMC access to isolated networks.
The case underscores how teams are taking away lessons such as Risks of legacy IPMI authentication, importance of isolating BMC networks, and rotating default passwords, and recommending next steps like Rotate default passwords, isolate BMC management networks, restrict BMC access to isolated networks, review stronger default password policies for hardware manufacturers.
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 24,650 internet-exposed servers leaking authentication password hashes due to CVE-2013-4786 and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating bMCs enable remote server management including power control, firmware updates. Under the Credential Access tactic, the analysis identified Brute Force: Password Cracking (T1110.002) with high confidence (90%), supported by evidence indicating attackers to capture authentication responses and crack passwords offline using GPU rigs and Credentials from Password Stores: Cloud Instance Metadata API (T1552.007) with moderate to high confidence (70%), supported by evidence indicating 6,240 servers accepted empty usernames and weak passwords; 2,340 used easily crackable admin passwords. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (80%), supported by evidence indicating compromised BMCs grant attackers deep system access, bypassing traditional security monitoring. Under the Defense Evasion tactic, the analysis identified Subvert Trust Controls: Code Signing (T1553.002) with moderate confidence (60%), supported by evidence indicating bMCs enable firmware updates, allowing potential malicious firmware installation and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating compromised BMCs grant attackers deep system access, bypassing traditional security monitoring. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating single breach could disrupt multiple tenants sharing physical GPU servers in AI infrastructure. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Supermicro Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/supermicro/incident/SUPHEW1785241451
- Supermicro CyberSecurity Rating page: https://www.rankiteo.com/company/supermicro
- Supermicro Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/suphew1785241451-supermicro-hpe-vulnerability-june-2026/
- Supermicro CyberSecurity Score History: https://www.rankiteo.com/company/supermicro/history
- Supermicro CyberSecurity Incident Source: https://www.bleepingcomputer.com/news/security/over-24-000-exposed-server-bmcs-leak-password-hash-via-decades-old-flaw/
- 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