Incident Score: Analysis & Impact (FBI1774268926)
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 Federal Bureau of Investigation (FBI)'s Ransomware 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 Federal Bureau of Investigation (FBI) 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 Federal Bureau of Investigation (FBI) breach identified under incident ID FBI1774268926.
The analysis begins with a detailed overview of Federal Bureau of Investigation (FBI)'s information like the linkedin page: https://www.linkedin.com/company/fbi, the number of followers: 936451, the industry type: Law Enforcement and the number of employees: 10118 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 630 and after the incident was 405 with a difference of -225 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 Federal Bureau of Investigation (FBI) and their customers.
A newly reported cybersecurity incident, "FBI Reports Ransomware Surge in Critical Infrastructure", has drawn attention.
In 2022, ransomware attacks continued to plague organizations, with phishing, remote desktop protocol (RDP) exploitation, and software vulnerabilities remaining the primary initial infection vectors.
The disruption is felt across the environment, plus an estimated financial loss of $34 million (adjusted losses).
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Need for bipartisan cooperation on cyber resilience and secure development practices for third-party vendors to mitigate supply chain risks, and recommending next steps like Prioritize secure development practices over speed to market and Enhance cyber resilience through bipartisan cooperation.
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%), supported by evidence indicating phishing...remaining the primary initial infection vectors, External Remote Services (T1133) with high confidence (90%), supported by evidence indicating remote desktop protocol (RDP) exploitation...primary initial infection vectors, and Exploit Public-Facing Application (T1190) with high confidence (90%), supported by evidence indicating software vulnerabilities remaining the primary initial infection vectors. Under the Execution tactic, the analysis identified User Execution: Malicious Link (T1204.001) with moderate to high confidence (80%), supported by evidence indicating phishing...remaining the primary initial infection vectors and User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating ransomware attacks continued to plague organizations. Under the Persistence tactic, the analysis identified External Remote Services (T1133) with moderate to high confidence (70%), supported by evidence indicating rDP exploitation...primary initial infection vectors. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware attacks...resulted in adjusted losses exceeding $34 million. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (80%), supported by evidence indicating extortion tactics threatening to leak stolen data. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate to high confidence (70%), supported by evidence indicating rDP exploitation...primary initial infection vectors. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate confidence (60%), supported by evidence indicating ransomware attacks continued to plague organizations. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Federal Bureau of Investigation (FBI) Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/fbi/incident/FBI1774268926
- Federal Bureau of Investigation (FBI) CyberSecurity Rating page: https://www.rankiteo.com/company/fbi
- Federal Bureau of Investigation (FBI) Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/fbi1774268926-fbi-ransomware-january-2022/
- Federal Bureau of Investigation (FBI) CyberSecurity Score History: https://www.rankiteo.com/company/fbi/history
- Federal Bureau of Investigation (FBI) CyberSecurity Incident Source: https://www.cybersecuritydive.com/news/ransomware-critical-infrastructure-2022/645068/
- 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