Incident Score: Analysis & Impact (HPECONCAL1770382364)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of HPE'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 HPE 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 HPE breach identified under incident ID HPECONCAL1770382364.
The analysis begins with a detailed overview of HPE's information like the linkedin page: https://www.linkedin.com/company/hpe, the number of followers: 0, the industry type: Oil and Gas and the number of employees: 192 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 816 and after the incident was 776 with a difference of -40 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 HPE and their customers.
Conduent Business Services recently reported "Conduent Data Breach", a noteworthy cybersecurity incident.
Conduent Business Services confirmed a 2024 data security incident that compromised the sensitive personal information of approximately 15.5 million people, making it one of the year’s most significant breaches.
The disruption is felt across the environment, and exposing Sensitive personal information of approximately 15.5 million individuals, with nearly 15.5 million records at risk.
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 scale underscores growing threat of large-scale data exposures and Trusted Relationship (T1199) with lower confidence (40%), supported by evidence indicating iT and business services provider with enterprise environments. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating sensitive personal information of approximately 15.5 million individuals and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating personally identifiable information (PII) compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 15.5 million records exposed with high sensitivity of data and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating large-scale data repositories targeted in enterprise environments. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 15.5 million individuals data compromised in significant breach and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating trend of high-profile cyber incidents in 2024. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating risks of identity theft and fraud for affected individuals and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (30%), supported by evidence indicating heightening risks of identity theft and fraud. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- HPE Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/hpe/incident/HPECONCAL1770382364
- HPE CyberSecurity Rating page: https://www.rankiteo.com/company/hpe
- HPE Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/hpeconcal1770382364-conduent-business-services-alpine-ent-hp-breach-january-2024/
- HPE CyberSecurity Score History: https://www.rankiteo.com/company/hpe/history
- HPE CyberSecurity Incident Source: https://www.teiss.co.uk/news/conduent-breach-becomes-one-of-2024s-largest-affecting-155-million-17055
- 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