Conduent Breach Incident Score: Analysis & Impact (CON2192421111425)
The Rankiteo video explains how the company Conduent has been impacted by a Cyber Attack on the date October 01, 2024.
Incident Summary
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Key Highlights From This Incident Analysis
- Timeline of Conduent's Cyber Attack and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteoโs incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts Conduent Rankiteo cyber scoring and cyber rating.
- Rankiteoโs MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the Conduent breach identified under incident ID CON2192421111425.
The analysis begins with a detailed overview of Conduent's information like the linkedin page: https://www.linkedin.com/company/conduent, the number of followers: 523798, the industry type: IT Services and IT Consulting and the number of employees: 36834 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 649 and after the incident was 627 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 Conduent and their customers.
Conduent recently reported "Conduent Data Breach (2024-2025)", a noteworthy cybersecurity incident.
Hackers infiltrated Conduent's systems for nearly three months (October 21, 2024 โ January 2025), exposing personal information linked to over 10 million people across U.S.
The disruption is felt across the environment, affecting Payment processing systems, Customer service interactions and State government program databases, and exposing Social Security numbers, Medical records and Health insurance details, with nearly 10+ million records at risk.
In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Network isolation and System restoration, and began remediation that includes Detailed analysis of exfiltrated files and Identification of exposed personal information, while recovery efforts such as Operational restoration and Dedicated call center for affected individuals continue, and stakeholders are being briefed through SEC filing (Form 8-K), Notification letters to affected individuals and Public statements.
The case underscores how Ongoing (no evidence of data misuse or dark web publication as of latest update), teams are taking away lessons such as Need for stricter cybersecurity oversight in government contractor systems; long-term risks of data exfiltration (identity theft, fraud in public benefit systems); importance of rapid incident response and transparency, and recommending next steps like Enhance third-party risk management, Implement continuous monitoring for anomalous activity and Strengthen data encryption and access controls, with advisories going out to stakeholders covering Notifications sent to affected individuals; dedicated call center established.
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.
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 Supply Chain Compromise: Third-party Software (T1195.002) with high confidence (95%), with evidence including third-party compromise (initial access), and entry point such as Third-party compromise. Under the Persistence tactic, the analysis identified Account Manipulation: Additional Cloud Credentials (T1098.003) with moderate to high confidence (85%), with evidence including hackers infiltrated Conduents systems for nearly three months, and reconnaissance period such as October 21, 2024 to January 2025. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), with evidence including 8.5 terabytes of data exfiltrated, including SSNs, medical records, and high value targets such as State Medicaid programs, Child support systems. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with high confidence (90%), with evidence including exfiltrated 8.5 terabytes of data, and detailed analysis of exfiltrated files and Network Service Discovery (T1046) with moderate to high confidence (85%), supported by evidence indicating systems affected such as Payment processing systems, State government program databases. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating exfiltrated 8.5 terabytes of data, including SSNs, medical records, health insurance details and Data from Network Shared Drive (T1039) with moderate to high confidence (85%), with evidence including state government program databases affected, and data exfiltration such as Confirmed (8.5 terabytes stolen). Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with high confidence (90%), with evidence including exfiltrated 8.5 terabytes of data, and data exfiltration such as Confirmed. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), with evidence including type such as Ransomware Attack, and ransomware strain such as SafePay, Inhibit System Recovery (T1490) with moderate to high confidence (85%), with evidence including system outages in states like Wisconsin, and downtime such as Several days (disrupted services), and Data Destruction (T1485) with moderate confidence (60%), supported by evidence indicating ransomware strain such as SafePay (implied but not explicitly confirmed). Under the Defense Evasion tactic, the analysis identified Indicator Removal: File Deletion (T1070.004) with moderate to high confidence (75%), with evidence including infiltrated for nearly three months undetected, and no evidence of data being published online or misused and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating insufficient detection of prolonged network infiltration (post-incident analysis). Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), with evidence including infiltrated for nearly three months, and 8.5 terabytes of data exfiltrated (suggests persistent C2). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources
- Conduent Rankiteo Cyber Incident Details: http://www.rankiteo.com/company/conduent/incident/CON2192421111425
- Conduent CyberSecurity Rating page: https://www.rankiteo.com/company/conduent
- Conduent Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/con2192421111425-conduent-cyber-attack-october-2024/
- Conduent CyberSecurity Score History: https://www.rankiteo.com/company/conduent/history
- Conduent CyberSecurity Incident Source: https://www.foxnews.com/tech/10-million-americans-hit-government-contractor-data-breach
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/static/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf





