Incident Score: Analysis & Impact (LUN1775485478)
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 LUNAR's Cyber Attack 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 LUNAR 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 LUNAR breach identified under incident ID LUN1775485478.
The analysis begins with a detailed overview of LUNAR's information like the linkedin page: https://www.linkedin.com/company/lunar, the number of followers: 0, the industry type: Aviation and Aerospace Component Manufacturing and the number of employees: 26 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 804 and after the incident was 769 with a difference of -35 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 LUNAR and their customers.
A newly reported cybersecurity incident, "Stolen Credentials as a Top Cybersecurity Threat Due to Inadequate Defenses", has drawn attention.
A 2026 survey by Lunar reveals a critical disconnect between enterprise awareness of credential theft risks and their actual defenses.
The disruption is felt across the environment, affecting SaaS Services and Enterprise Networks, and exposing Credentials, Session Tokens and SaaS Access Data, with nearly 4.17 billion compromised credentials in 2025 records at risk, plus an estimated financial loss of $4.81–4.88 million per incident.
In response, moved swiftly to contain the threat with measures like Credential Resets, Session Invalidation and Account Lockdowns, and began remediation that includes Real-Time Monitoring, Forensic-Level Detail Analysis and Automated Response Playbooks.
The case underscores how teams are taking away lessons such as Enterprises must shift from ad-hoc monitoring to continuous, automated breach detection with forensic-level detail and seamless integrations with SIEM, SOAR, and identity providers. Checkbox security is insufficient against modern infostealer threats, and recommending next steps like Adopt real-time monitoring of stealer logs and underground marketplaces, Implement forensic-level detail analysis for compromised accounts and devices and Integrate credential monitoring with SIEM, SOAR, and identity providers for automated response.
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 Phishing (T1566) with high confidence (90%), with evidence including phishing listed as an attack vector, and infostealers spread via phishing, Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating zero-Day Exploits listed as an entry point, and User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating malicious Browser Extensions and Pirated Software as attack vectors. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating infostealers like LummaC2, Rhadamanthys, Vidar executed via malicious files. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with high confidence (95%), supported by evidence indicating infostealers harvest browser-stored logins, cookies, and session tokens, Steal Web Session Cookie (T1539) with high confidence (90%), supported by evidence indicating session cookies and tokens stolen to bypass MFA, and Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating saaS credentials and access tokens harvested by infostealers. Under the Defense Evasion tactic, the analysis identified Use Alternate Authentication Material: Web Session Cookie (T1550.004) with high confidence (90%), supported by evidence indicating attackers use stolen tokens to log in undetected, bypassing MFA and Valid Accounts (T1078) with moderate to high confidence (85%), supported by evidence indicating stolen credentials and tokens used for network access. Under the Lateral Movement tactic, the analysis identified Remote Services: Cloud Services (T1021.007) with moderate to high confidence (80%), supported by evidence indicating attackers move laterally using stolen SaaS credentials and Valid Accounts (T1078) with moderate to high confidence (85%), supported by evidence indicating stolen credentials enable lateral movement within networks. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating infostealers collect credentials, cookies, and session tokens from local systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating infostealers exfiltrate harvested data to attacker-controlled servers and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating credentials sold on dark-web markets and underground forums. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating attackers establish persistence and exfiltrate data using stolen access. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- LUNAR Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/lunar/incident/LUN1775485478
- LUNAR CyberSecurity Rating page: https://www.rankiteo.com/company/lunar
- LUNAR Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/lun1775485478-lunar-cyber-attack-january-2025/
- LUNAR CyberSecurity Score History: https://www.rankiteo.com/company/lunar/history
- LUNAR CyberSecurity Incident Source: https://www.bleepingcomputer.com/news/security/why-simple-breach-monitoring-is-no-longer-enough/
- 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