Incident Score: Analysis & Impact (BLA1768390795)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Black & Veatch'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 Black & Veatch 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 Black & Veatch breach identified under incident ID BLA1768390795.
The analysis begins with a detailed overview of Black & Veatch's information like the linkedin page: https://www.linkedin.com/company/black-and-veatch, the number of followers: 414354, the industry type: Engineering Services and the number of employees: 11307 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 781 and after the incident was 654 with a difference of -127 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 Black & Veatch and their customers.
A newly reported cybersecurity incident, "an incident", has drawn attention.
Shift from quick-hit ransomware attacks to stealthy, persistent threats that are harder to detect and costlier to contain.
The disruption is felt across the environment, and exposing Data exfiltration occurred in nearly a third of incidents before detection, plus an estimated financial loss of Average ransomware payment surged from US$2.5 million to US$3.6 million.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Threat actors are exploiting new entry points to bypass traditional defences and remain hidden inside networks. Visibility and contextualization of network traffic are critical to detect lateral movement and data exfiltration, and recommending next steps like Enterprises should improve visibility across environments, integrate tools, automate SOC workflows, and enhance monitoring to detect threats early.
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 Phishing (T1566) with high confidence (90%), supported by evidence indicating phishing and social engineering (33.65%) remain the most common attack vectors, Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), with evidence including software vulnerabilities (19.43%) as attack vector, and public cloud (53.8%) as expanding attack surface, Supply Chain Compromise (T1195) with moderate to high confidence (70%), supported by evidence indicating third-party or supply chain compromise (13.4%) as attack vector, and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating compromised credentials (12.2%) as attack vector. Under the Execution tactic, the analysis identified User Execution (T1204) with moderate to high confidence (70%), supported by evidence indicating phishing and social engineering (33.65%) as attack vector. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating threat actors had access to networks for nearly two weeks on average before launching an attack. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating compromised credentials (12.2%) as attack vector. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (80%), supported by evidence indicating stealthy, persistent threats designed to evade detection and Hide Artifacts (T1564) with moderate to high confidence (70%), supported by evidence indicating attackers exploit blind spots to move laterally and escalate privileges. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating compromised credentials (12.2%) as attack vector and Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating compromised credentials (12.2%) as attack vector. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating threat actors spend nearly two weeks inside a network before launching an attack and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating attackers exploit blind spots to move laterally and escalate privileges. Under the Lateral Movement tactic, the analysis identified Remote Services (T1021) with moderate to high confidence (80%), supported by evidence indicating attackers exploit blind spots to move laterally inside networks and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating compromised credentials (12.2%) as attack vector. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating data exfiltration occurred in nearly a third of incidents before detection. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating attackers exploit blind spots to move laterally and exfiltrate data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating nearly a third of organisations only became aware after data exfiltration had begun. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware strain identified (RansomHub, LockBit, Darkside, Black Basta) and Inhibit System Recovery (T1490) with moderate to high confidence (70%), supported by evidence indicating average downtime of more than 37 hours following an incident. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Black & Veatch Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/black-and-veatch/incident/BLA1768390795
- Black & Veatch CyberSecurity Rating page: https://www.rankiteo.com/company/black-and-veatch
- Black & Veatch Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/bla1768390795-black-basta-ransomware-october-2025/
- Black & Veatch CyberSecurity Score History: https://www.rankiteo.com/company/black-and-veatch/history
- Black & Veatch CyberSecurity Incident Source: https://www.intelligentciso.com/2025/10/21/extrahop-report-finds-ransomware-payouts-hit-record-highs-as-attackers-adapt/
- 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