Positive Technologies Breach Incident Score: Analysis & Impact (POS1766629641)

In this Rankiteo incident briefing, we review the Positive Technologies breach identified under incident ID POS1766629641.

The analysis begins with a detailed overview of Positive Technologies's information like the linkedin page: https://www.linkedin.com/company/positivetechnologies, the number of followers: 9636, the industry type: Technology, Information and Internet and the number of employees: 711 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 739 with a difference of -31 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 Positive Technologies and their customers.

A newly reported cybersecurity incident, "DarkGaboon Ransomware Attacks on Russian Companies", has drawn attention.

A financially motivated cybercrime group dubbed DarkGaboon has been targeting Russian companies in a series of ransomware attacks, deploying LockBit 3.0 ransomware.

Impact assessments are still underway, so the full scope is not yet clear.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 Phishing (T1566) with high confidence (95%), supported by evidence indicating russian-language phishing emails sent to financial department employees and Phishing: Spearphishing Attachment (T1566.001) with high confidence (90%), supported by evidence indicating malicious attachments disguised as legitimate financial documents. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (85%), supported by evidence indicating malicious attachments disguised as legitimate financial documents. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (95%), supported by evidence indicating files encrypted using LockBit 3.0 ransomware. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate to high confidence (80%), supported by evidence indicating malicious attachments disguised as legitimate financial documents and Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating uses open-source tools like Revenge RAT and XWorm to evade attribution. Under the Command and Control tactic, the analysis identified Remote Access Software (T1219) with moderate to high confidence (80%), supported by evidence indicating uses open-source tools like Revenge RAT and XWorm. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.