Incident Score: Analysis & Impact (UBURASDEB1778919975)
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 Raspberry Pi'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 Raspberry Pi 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 Raspberry Pi breach identified under incident ID UBURASDEB1778919975.
The analysis begins with a detailed overview of Raspberry Pi's information like the linkedin page: https://www.linkedin.com/company/raspberrypi, the number of followers: 148034, the industry type: Computer Hardware Manufacturing and the number of employees: 198 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 762 and after the incident was 758 with a difference of -4 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 Raspberry Pi and their customers.
Ubuntu recently reported "Critical Linux Kernel Flaw Exposes SSH Keys and Password Hashes (CVE-2026-46333)", a noteworthy cybersecurity incident.
A newly disclosed Linux kernel vulnerability, tracked as CVE-2026-46333 and dubbed 'ssh-keysign-pwn,' allows attackers to extract highly sensitive data including SSH private keys and password hashes from affected systems.
The disruption is felt across the environment, affecting Linux systems running kernels before May 14, 2026 patch, and exposing SSH private keys, password hashes (/etc/shadow).
In response, moved swiftly to contain the threat with measures like Apply kernel patches for CVE-2026-46333, Rotate all SSH keys and Audit access to sensitive files like /etc/shadow, and began remediation that includes Kernel patching, SSH key rotation, access audits.
The case underscores how teams are taking away lessons such as Race conditions in privileged process shutdowns can lead to severe security breaches. Timely patching and key rotation are critical for mitigating such vulnerabilities, and recommending next steps like Apply kernel patches immediately, Rotate all SSH keys on affected systems and Audit and restrict access to sensitive files.
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 (90%), with evidence including cVE-2026-46333 (Race condition in __ptrace_may_access()), and flaw stems from a race condition in the kernel’s ptrace access control logic. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Private Keys (T1552.004) with high confidence (95%), with evidence including sSH private keys extracted, and sSH Private Key Theft such as Enables attackers to impersonate systems or users and OS Credential Dumping: /etc/passwd and /etc/shadow (T1003.008) with high confidence (95%), with evidence including password hashes (/etc/shadow) exposed, and full read access to /etc/shadow. Under the Lateral Movement tactic, the analysis identified Use Alternate Authentication Material: Application Access Token (T1550.001) with moderate to high confidence (85%), with evidence including sSH private keys extracted, and sSH keys are often reused, a single breach can lead to wider network access. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Indicator Blocking (T1562.006) with moderate to high confidence (70%), with evidence including bypassing intended permission checks via pidfd_getfd(), and race condition in ptrace access control logic. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including extract highly sensitive data including SSH private keys and password hashes, and file descriptors remain open for /etc/shadow. Under the Initial Access tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), with evidence including local attack vector, and exploitation requires local presence. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Raspberry Pi Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/raspberrypi/incident/UBURASDEB1778919975
- Raspberry Pi CyberSecurity Rating page: https://www.rankiteo.com/company/raspberrypi
- Raspberry Pi Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/uburasdeb1778919975-debian-ubuntu-raspberry-pi-os-vulnerability-may-2026/
- Raspberry Pi CyberSecurity Score History: https://www.rankiteo.com/company/raspberrypi/history
- Raspberry Pi CyberSecurity Incident Source: https://cybersecuritynews.com/linux-kernel-vulnerability-ssh-keysign-pwn/
- 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