Incident Score: Analysis & Impact (MET1788979060)
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 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 MET1788979060.
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: 12192456, the industry type: Software Development and the number of employees: 164515 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 834 and after the incident was 812 with a difference of -22 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.
Meta (Facebook) recently reported "New Mexico Takes Meta to Trial Over Cambridge Analytica Data Breach", a noteworthy cybersecurity incident.
Facebook’s parent company, Meta, is facing trial in New Mexico over allegations that it misled users about the collection and exploitation of their data during the 2016 U.S.
The disruption is felt across the environment, affecting Facebook user data systems, and exposing 87 million Facebook profiles, with nearly 87 million records at risk.
In response, and stakeholders are being briefed through Public statements and legal defense.
The case underscores how Ongoing (trial in progress), with advisories going out to stakeholders covering Legal proceedings and public statements from Meta and New Mexico AG.
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: Spearphishing via Service (T1566.003) with moderate to high confidence (80%), supported by evidence indicating personality quiz that harvested data from approximately 87 million Facebook profiles. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating harvested data from approximately 87 million Facebook profiles via third-party app. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating user profile data, personality traits, political preferences compromised and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 87 million Facebook profiles harvested via third-party quiz. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data was later sold to political consulting firm Cambridge Analytica and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating data harvested and exploited for political targeting. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating significant reputational damage to Meta and Financial Theft (T1657) with moderate confidence (50%), supported by evidence indicating motivation such as Political influence, financial gain. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating misrepresentation of data handling practices. 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/MET1788979060
- Meta CyberSecurity Rating page: https://www.rankiteo.com/company/meta
- Meta Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/met1788979060-facebook-breach-january-2016/
- Meta CyberSecurity Score History: https://www.rankiteo.com/company/meta/history
- Meta CyberSecurity Incident Source: https://www.whec.com/ap-top-news/nearly-a-decade-after-the-cambridge-analytica-scandal-new-mexico-alone-is-taking-facebook-to-trial/
- 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