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Analyze » Safaricom PLC » SAF1779179446

Incident Score: Analysis & Impact (SAF1779179446)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-80
Company Score Before Incident789 / 1000
Company Score After Incident709 / 1000
INCIDENT NUMBERSAF1779179446
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDCustomer personal information
INCIDENT DATE31/12/2017
STATUSClosed (Court ruling issued)

Key Highlights From The Incident Analysis

  • Timeline of Safaricom PLC'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 Safaricom PLC 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 Safaricom PLC breach identified under incident ID SAF1779179446.

The analysis begins with a detailed overview of Safaricom PLC's information like the linkedin page: https://www.linkedin.com/company/safaricom, the number of followers: 551349, the industry type: Telecommunications and the number of employees: 16570 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 789 and after the incident was 709 with a difference of -80 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 Safaricom PLC and their customers.

Safaricom recently reported "Safaricom Data Breach and Privacy Violations", a noteworthy cybersecurity incident.

The Kenyan High Court ruled that Safaricom must compensate 11 subscribers a total of KES 9.9 million for violating their constitutional rights to privacy, dignity, and consumer protection due to a 2018-19 data breach where internal systems were compromised, leading to unauthor...

The disruption is felt across the environment, affecting Internal systems, and exposing Customer personal information, plus an estimated financial loss of KES 9.9 million.

Formal response steps have not been shared publicly yet.

The case underscores how Closed (Court ruling issued), teams are taking away lessons such as Growing legal accountability for data protection failures in Kenya; financial and reputational risks for companies mishandling sensitive customer data.

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 Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating internal systems were compromised and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unauthorized access to customer data via internal systems. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating inadequate safeguards for personal information. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating customer personal information was compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating unauthorized access to customer data and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating potential misuse of customer data. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating violation of constitutional rights to privacy and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating potential misuse of customer data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (50%)
Valid Accounts (60%)
Credential Access
Unsecured Credentials (70%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Transfer Data to Cloud Account (40%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)

Sources & References