BlackFog Breach Incident Score: Analysis & Impact (BLA1767018725)
The Rankiteo video explains how the company BlackFog has been impacted by a Ransomware on the date December 01, 2025.
Incident Summary
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Key Highlights From This Incident Analysis
- Timeline of BlackFog'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 Rankiteoโs incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts BlackFog 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 BlackFog breach identified under incident ID BLA1767018725.
The analysis begins with a detailed overview of BlackFog's information like the linkedin page: https://www.linkedin.com/company/blackfog, the number of followers: 4241, the industry type: Software Development and the number of employees: 29 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 648 and after the incident was 438 with a difference of -210 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 BlackFog and their customers.
Kido International recently reported "Global Ransomware Surge and Key Incidents in 2025", a noteworthy cybersecurity incident.
Ransomware remained one of the most pervasive and damaging cyber threats in 2025, targeting organizations across industries, disrupting critical services, and exposing millions of records.
The disruption is felt across the environment, affecting critical infrastructure, corporate networks and public sector systems, and exposing millions of records, with nearly ['8,000 (Kido International)', 'over a terabyte (Qilin group)'] records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as The increasing use of artificial intelligence by threat actors enabled faster automation and targeting, while gaps in patching and remote access security continued to create vulnerabilities. Industries with complex supply chains or legacy systems were particularly at risk, and recommending next steps like Adopt multi-layered defenses, real-time monitoring, regular software patching, comprehensive incident response plans, employee training, and zero-trust approaches to mitigate future attacks.
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 Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), with evidence including gaps in patching, and remote access security vulnerabilities and External Remote Services (T1133) with moderate to high confidence (80%), with evidence including weak remote access controls, and legacy systems. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with moderate confidence (60%), supported by evidence indicating aI-powered automation enabled faster targeting. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (50%), supported by evidence indicating remote access security vulnerabilities. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate confidence (60%), with evidence including gaps in patching, and legacy systems. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating aI-powered automation by threat actors and Data Encrypted for Impact (T1486) with high confidence (90%), with evidence including data encryption via Microsoft BitLocker, and ransomware strain Qilin. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating weak remote access controls. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating data exfiltration of over a terabyte. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (70%), supported by evidence indicating remote access security vulnerabilities. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), with evidence including 8,000 children and staff data stolen, and pII exfiltrated. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate confidence (60%), supported by evidence indicating aI-driven automation by threat actors. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including data exfiltration of over a terabyte, and double extortion tactics. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), with evidence including 1,000 computers encrypted via BitLocker, and ransomware strain Qilin and Defacement (T1491) with moderate confidence (50%), supported by evidence indicating operational disruption of critical services. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources
- BlackFog Rankiteo Cyber Incident Details: http://www.rankiteo.com/company/blackfog/incident/BLA1767018725
- BlackFog CyberSecurity Rating page: https://www.rankiteo.com/company/blackfog
- BlackFog Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/bla1767018725-ransomware-december-2025/
- BlackFog CyberSecurity Score History: https://www.rankiteo.com/company/blackfog/history
- BlackFog CyberSecurity Incident Source: https://www.cybersecurity-insiders.com/top-ransomware-attacks-of-2025-major-incidents-impacts-rising-cyber-threats-globally/
- 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






