Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Akeela Inc. » AKE1772209853

Incident Score: Analysis & Impact (AKE1772209853)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-90
Company Score Before Incident763 / 1000
Company Score After Incident673 / 1000
Company LinkView Akeela Inc. Profile
INCIDENT NUMBERAKE1772209853
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSocial Security numbers, dates of...
INCIDENT DATE21/06/2023
STATUSSettled

Key Highlights From The Incident Analysis

  • Timeline of Akeela Inc.'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 Akeela Inc. 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 Akeela Inc. breach identified under incident ID AKE1772209853.

The analysis begins with a detailed overview of Akeela Inc.'s information like the linkedin page: https://www.linkedin.com/company/akeela-inc, the number of followers: 300, the industry type: Hospitals and Health Care and the number of employees: 86 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 763 and after the incident was 673 with a difference of -90 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 Akeela Inc. and their customers.

On 22 June 2023, Akeela Inc. disclosed Data Breach issues under the banner "Akeela Inc. Data Breach Settlement".

A class action settlement has been reached with Akeela Inc.

The disruption is felt across the environment, and exposing Social Security numbers, dates of birth, medical details, plus an estimated financial loss of $272,000+ settlement fund.

In response, and stakeholders are being briefed through Settlement notices sent to affected individuals.

The case underscores how Settled, with advisories going out to stakeholders covering Settlement notices sent to affected individuals.

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 Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating alleged failure to adequately protect sensitive data and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating data breach that exposed sensitive personal information. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating social Security numbers, dates of birth, medical details compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating exposed sensitive personal information, including SSNs, DOBs, medical details. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach that exposed sensitive personal information and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details on data exfiltration method, but high sensitivity of data. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating alleged failure to adequately protect sensitive data and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (30%), supported by evidence indicating no evidence of data manipulation, but high identity theft risk. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

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

Sources & References