Incident Score: Analysis & Impact (CON1772152083)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Conduent's Ransomware 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 Conduent 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 Conduent breach identified under incident ID CON1772152083.
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: 536543, the industry type: Business Consulting and Services and the number of employees: 37668 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 432 and after the incident was 100 with a difference of -332 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.
On 13 January 2025, Conduent disclosed Data Breach, Ransomware issues under the banner "Conduent Data Breach Exposes Up to 25 Million in Massive U.S. Cyberattack".
A medical data breach initially affecting 10.5 million individuals escalated into one of the largest cybersecurity incidents of 2025, potentially compromising the personal data of up to 25 million people across the U.S., including 15 million in Texas alone.
The disruption is felt across the environment, and exposing Personal data of up to 25 million individuals, with nearly Up to 25 million records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as The incident underscores the persistent risks of credential reuse and delayed attack detection. Exposed email addresses or passwords can serve as entry points for future attacks, with threat actors often probing additional services weeks or months later.
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 high confidence (90%), with evidence including attack vector such as Stolen credentials, and credential theft surging 160% year-over-year. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate to high confidence (70%), supported by evidence indicating credential theft surging 160% year-over-year in 2025 and Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating persistent risks of credential reuse. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating unauthorized access occurring between October 21, 2024, and January 13, 2025. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating full legal names, addresses, SSNs, health insurance details compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating medical records data exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including data exfiltration such as Yes, and up to 25 million individuals data compromised. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), with evidence including type such as Ransomware, and safePlay ransomware group claimed responsibility and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating highly sensitive information exposed. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating infiltrate accounts undetected using stolen credentials and Obfuscated Files or Information (T1027) with moderate confidence (50%), supported by evidence indicating delayed attack detection (3+ months). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Conduent Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/conduent/incident/CON1772152083
- Conduent CyberSecurity Rating page: https://www.rankiteo.com/company/conduent
- Conduent Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/con1772152083-conduent-ransomware-october-2024/
- Conduent CyberSecurity Score History: https://www.rankiteo.com/company/conduent/history
- Conduent CyberSecurity Incident Source: https://www.cnet.com/tech/services-and-software/conduent-data-breach-lock-down-your-online-accounts/
- 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