Incident Score: Analysis & Impact (ACC1783528528)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Accenture'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 Accenture 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 Accenture breach identified under incident ID ACC1783528528.
The analysis begins with a detailed overview of Accenture's information like the linkedin page: https://www.linkedin.com/company/accenture, the number of followers: 14855056, the industry type: Business Consulting and Services and the number of employees: 690859 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 798 and after the incident was 762 with a difference of -36 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 Accenture and their customers.
Accenture recently reported "Accenture Data Breach Following Hacker Claims of Source Code Theft", a noteworthy cybersecurity incident.
Accenture, a global IT services and consulting firm, confirmed a data breach after hackers claimed to have exfiltrated 35GB of sensitive data, including source code, encryption keys, authentication tokens, and configuration files.
The disruption is felt across the environment, and exposing 35GB of sensitive data.
Formal response steps have not been shared publicly yet.
Overall, the incident is a reminder of why proactive monitoring and strong governance matter.
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 breach could provide attackers with prolonged access to internal systems and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating authentication tokens...could provide attackers with prolonged access. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (90%), supported by evidence indicating stolen material includes...authentication tokens, configuration files and Unsecured Credentials: Private Keys (T1552.004) with moderate to high confidence (80%), supported by evidence indicating encryption keys...stolen in 35GB of sensitive data. Under the Collection tactic, the analysis identified Data from Cloud Storage (T1530) with moderate to high confidence (70%), supported by evidence indicating source code, encryption keys, authentication tokens stolen and Data from Local System (T1005) with moderate confidence (60%), supported by evidence indicating 35GB of sensitive data exfiltrated from internal systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating hackers claimed to have exfiltrated 35GB of sensitive data and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating stolen data may serve as blueprint for future attacks. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate to high confidence (70%), supported by evidence indicating authentication tokens...could provide prolonged access and Server Software Component: Web Shell (T1505.003) with moderate confidence (50%), supported by evidence indicating source code theft enables backdoor implantation. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate confidence (60%), supported by evidence indicating stolen credentials enable third-party connections access. Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with lower confidence (40%), supported by evidence indicating source code theft may enable future system modifications and Account Access Removal (T1531) with lower confidence (30%), supported by evidence indicating encryption keys theft could disrupt access controls. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Accenture Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/accenture/incident/ACC1783528528
- Accenture CyberSecurity Rating page: https://www.rankiteo.com/company/accenture
- Accenture Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/acc1783528528-accenture-breach-january-2025/
- Accenture CyberSecurity Score History: https://www.rankiteo.com/company/accenture/history
- Accenture CyberSecurity Incident Source: https://www.securitymagazine.com/articles/102422-accenture-confirms-breach-after-hackers-claim-source-code-theft
- 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