Incident Score: Analysis & Impact (TXPPAY1781850513)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Texas Parks and Wildlife Department'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 Texas Parks and Wildlife Department 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 Texas Parks and Wildlife Department breach identified under incident ID TXPPAY1781850513.
The analysis begins with a detailed overview of Texas Parks and Wildlife Department's information like the linkedin page: https://www.linkedin.com/company/txparkswildlife, the number of followers: 69304, the industry type: Government Administration and the number of employees: 2484 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 770 and after the incident was 670 with a difference of -100 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 Texas Parks and Wildlife Department and their customers.
Texas Parks and Wildlife Department recently reported "Texas Parks and Wildlife Department Suffers Major Data Breach Affecting Over 3 Million", a noteworthy cybersecurity incident.
A cyberattack on the Texas Parks and Wildlife Department (TPWD) has exposed the personal data of over 3 million Texans, marking one of the state’s largest breaches of the year.
The disruption is felt across the environment, affecting Third-party vendor handling hunting and fishing license sales, and exposing Personal data of over 3 million Texans, including names, addresses, driver’s license numbers, passport details, government-issued IDs, email addresses, and phone numbers, with nearly 3,000,000+ records at risk.
In response, moved swiftly to contain the threat with measures like Additional security measures and monitoring services implemented, and stakeholders are being briefed through Disclosure via Texas attorney general’s website and department statement.
The case underscores how Ongoing, with advisories going out to stakeholders covering Department statement confirming no evidence of further misuse and commitment to strengthening safeguards.
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 Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating breach originated from a third-party vendor handling hunting and fishing license sales and Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), supported by evidence indicating unauthorized access occurred through the vendor’s system. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating third-party vendor handling hunting and fishing license sales (OAuth/access token abuse likely). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, addresses, driver’s license numbers, passport details, government-issued IDs compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating personal data of over 3 million Texans exposed and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating third-party vendor system likely used as exfiltration conduit. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of further misuse (destruction unlikely but possible) and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating license sales remain operational (potential manipulation risk). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Texas Parks and Wildlife Department Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/txparkswildlife/incident/TXPPAY1781850513
- Texas Parks and Wildlife Department CyberSecurity Rating page: https://www.rankiteo.com/company/txparkswildlife
- Texas Parks and Wildlife Department Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/txppay1781850513-third-party-vendor-handling-hunting-and-fishing-license-sales-texas-parks-and-wildlife-department-breach-august-2025/
- Texas Parks and Wildlife Department CyberSecurity Score History: https://www.rankiteo.com/company/txparkswildlife/history
- Texas Parks and Wildlife Department CyberSecurity Incident Source: https://www.cyberdaily.au/security/13776-3m-impacted-in-texas-gov-department-cyber-attack
- 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