Incident Score: Analysis & Impact (ZSC1776414345)
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 Zscaler'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 Zscaler 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 Zscaler breach identified under incident ID ZSC1776414345.
The analysis begins with a detailed overview of Zscaler's information like the linkedin page: https://www.linkedin.com/company/zscaler, the number of followers: 482875, the industry type: Computer and Network Security and the number of employees: 9566 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 700 and after the incident was 611 with a difference of -89 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 Zscaler and their customers.
A newly reported cybersecurity incident, "Payouts King: A Sophisticated Ransomware Operation Emerges from BlackBasta’s Shadow", has drawn attention.
A new ransomware group, Payouts King, has surfaced as a highly technical successor to the defunct BlackBasta operation, leveraging refined tactics from former affiliates while introducing advanced evasion techniques.
Impact assessments are still underway, so the full scope is not yet clear.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Organizations face heightened risks from spam bombing, vishing, and Quick Assist abuse, requiring stricter verification for remote support requests.
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: Spearphishing via Service (T1566.003) with high confidence (90%), with evidence including spam bombing, overwhelming victims with junk emails, and teams-based phishing and social engineering, Spearphishing Link (T1192) with moderate to high confidence (80%), supported by evidence indicating microsoft Teams session and Quick Assist exploitation, and Phishing: Vishing (T1566.004) with high confidence (90%), supported by evidence indicating vishing (voice phishing), impersonating internal IT support. Under the Execution tactic, the analysis identified User Execution: Malicious Link (T1204.001) with moderate to high confidence (80%), supported by evidence indicating quick Assist launched under guise of resolving email issues and Command and Scripting Interpreter: PowerShell (T1059.001) with moderate to high confidence (70%), supported by evidence indicating malware deployed to establish persistence, move laterally. Under the Persistence tactic, the analysis identified Scheduled Task/Job: Scheduled Task (T1053.005) with moderate to high confidence (70%), supported by evidence indicating malware deployed to establish persistence. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating quick Assist exploitation grants remote access. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with high confidence (90%), supported by evidence indicating stack-based string decryption, API hashing, custom CRC-like checksums, Masquerading: Match Legitimate Name or Location (T1036.005) with moderate to high confidence (80%), supported by evidence indicating quick Assist (legitimate remote support tool) abused, Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (80%), supported by evidence indicating targets defensive processes, hashing 100+ AV/EDR checksums, and Virtualization/Sandbox Evasion (T1497) with moderate to high confidence (70%), supported by evidence indicating anti-sandbox measures, -i flag requiring checksum match. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (60%), supported by evidence indicating remote access via Quick Assist may capture credentials. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (80%), supported by evidence indicating quick Assist grants remote access, lateral movement. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (95%), supported by evidence indicating hybrid encryption (4,096-bit RSA + 256-bit AES-CTR), selective encryption and Inhibit System Recovery (T1490) with moderate to high confidence (70%), supported by evidence indicating critical system files spared to maintain ransom leverage. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Zscaler Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/zscaler/incident/ZSC1776414345
- Zscaler CyberSecurity Rating page: https://www.rankiteo.com/company/zscaler
- Zscaler Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/zsc1776414345-payouts-king-ransomware-april-2025/
- Zscaler CyberSecurity Score History: https://www.rankiteo.com/company/zscaler/history
- Zscaler CyberSecurity Incident Source: https://gbhackers.com/payouts-king-emerges/
- 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