Incident Score: Analysis & Impact (MET1774203903)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Meta's Breach 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 Meta 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 Meta breach identified under incident ID MET1774203903.
The analysis begins with a detailed overview of Meta's information like the linkedin page: https://www.linkedin.com/company/meta, the number of followers: 11662374, the industry type: Software Development and the number of employees: 146293 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 767 and after the incident was 742 with a difference of -25 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 Meta and their customers.
Manufacturing Sector recently reported "Rising Cyber Threats: Key Trends and Alarming Statistics in 2024", a noteworthy cybersecurity incident.
Cybercrime continues to escalate, with threat actors evolving tactics to exploit vulnerabilities across industries, regions, and technologies.
The disruption is felt across the environment, affecting cloud environments, mobile devices and APIs, and exposing 533 million users' data (Facebook breach), personally identifiable information and payment information, with nearly 533 million (Facebook breach) records at risk, plus an estimated financial loss of $13.82 trillion (projected by 2028).
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Cyber threats are intensifying in scale, sophistication, and financial impact, with no sector or region immune. Organizations must address vulnerabilities from unsecured APIs to employee negligence.
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 83% of organizations reported phishing attacks, and 3.4 billion malicious emails sent daily, Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), supported by evidence indicating 94% of organizations experienced API security issues in production, Supply Chain Compromise: Compromise Software Dependencies and Development Tools (T1195.002) with moderate confidence (60%), supported by evidence indicating uSB drives remain a primary vector, with 52% capable of bypassing network security, and Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (80%), supported by evidence indicating dEV-0569 abuses Google Ads to distribute malware and steal credentials. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating 86% of malware is delivered via email and User Execution: Malicious Link (T1204.001) with high confidence (90%), supported by evidence indicating 18% of phishing clicks originated from mobile devices. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate to high confidence (70%), supported by evidence indicating 65% more passwords were compromised in 2022 compared to 2020. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating 25% of individuals affected by password-cracking attacks. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating 52% of USB drives capable of bypassing network security and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating cloud misconfigurations contributed to 45% of data breaches. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with high confidence (90%), supported by evidence indicating 7-character password can be cracked in 4 seconds, Credentials from Password Stores (T1555) with moderate to high confidence (80%), supported by evidence indicating 65% more passwords were compromised in 2022 compared to 2020, and Adversary-in-the-Middle (T1557) with moderate to high confidence (70%), supported by evidence indicating 98% of cyberattacks rely on social engineering. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating 533 million users data (Facebook breach) included phone numbers and emails. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 533 million users data leaked in Facebook breach and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating 45% of data breaches due to cloud misconfigurations. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating 1.7 million ransomware incidents daily. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed in ransomware attacks and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating cloud misconfigurations contributed to 45% of data breaches. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware attacks occur every 19 seconds, with data encryption, Resource Hijacking (T1496) with moderate to high confidence (80%), supported by evidence indicating cryptojacking attacks surged 43%, reaching 139.3 million incidents in 2022, and Network Denial of Service (T1498) with moderate to high confidence (80%), supported by evidence indicating largest DDoS attack peaked at 1.46 Tbps. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Meta Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/meta/incident/MET1774203903
- Meta CyberSecurity Rating page: https://www.rankiteo.com/company/meta
- Meta Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/met1774203903-facebook-breach-april-2023/
- Meta CyberSecurity Score History: https://www.rankiteo.com/company/meta/history
- Meta CyberSecurity Incident Source: https://www.demandsage.com/cybersecurity-statistics/
- 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