Incident Score: Analysis & Impact (CYB1773131064)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Cyble's Cyber Attack 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 Cyble 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 Cyble breach identified under incident ID CYB1773131064.
The analysis begins with a detailed overview of Cyble's information like the linkedin page: https://www.linkedin.com/company/cyble-global, the number of followers: 83862, the industry type: Computer and Network Security and the number of employees: 250 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 629 and after the incident was 608 with a difference of -21 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 Cyble and their customers.
On 05 March 2026, a cybersecurity incident called "ClipXDaemon Linux Malware Hijacks Crypto Wallet Addresses in X11 Sessions" came to light.
A recently discovered Linux malware, ClipXDaemon, is targeting cryptocurrency users by silently replacing copied wallet addresses with attacker-controlled ones during transactions.
The disruption is felt across the environment, affecting Linux systems using X11, plus an estimated financial loss of Funds redirected to attacker-controlled wallets.
In response, and began remediation that includes Transition from X11 to Wayland, monitor for unusual clipboard polling, verify wallet addresses manually.
The case underscores how teams are taking away lessons such as Clipboard hijacking remains a persistent risk in cryptocurrency operations, even on Linux systems. The malware's self-contained design poses detection challenges, highlighting the need for alternative windowing systems like Wayland and manual verification of wallet addresses, and recommending next steps like Transition from X11 to Wayland, Monitor for unusual clipboard polling activity and Verify wallet addresses manually before transactions.
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 User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating delivered via a loader using Bincrypter and Supply Chain Compromise: Compromise Software Dependencies and Development Tools (T1195.002) with moderate confidence (60%), supported by evidence indicating open-source shell-script encryption tool available on GitHub. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: Unix Shell (T1059.004) with moderate to high confidence (70%), supported by evidence indicating malware delivered via a loader using Bincrypter (shell-script encryption). Under the Credential Access tactic, the analysis identified Clipboard Data (T1115) with high confidence (90%), supported by evidence indicating replacing copied wallet addresses with attacker-controlled ones during transactions. Under the Collection tactic, the analysis identified Clipboard Data (T1115) with high confidence (90%), supported by evidence indicating monitors clipboard activity and replaces cryptocurrency wallet addresses. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (70%), supported by evidence indicating redirecting funds to attacker-controlled wallets without C2 server. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (80%), supported by evidence indicating loader using Bincrypter, an open-source shell-script encryption tool and Hide Artifacts: Hidden Window (T1564.003) with moderate to high confidence (70%), supported by evidence indicating operates independently without a command-and-control (C2) server. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (80%), supported by evidence indicating redirecting funds to attacker-controlled wallets during transactions. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Cyble Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/cyble-global/incident/CYB1773131064
- Cyble CyberSecurity Rating page: https://www.rankiteo.com/company/cyble-global
- Cyble Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/cyb1773131064-cyble-research-and-intelligence-labs-cyber-attack-march-2026/
- Cyble CyberSecurity Score History: https://www.rankiteo.com/company/cyble-global/history
- Cyble CyberSecurity Incident Source: https://cyberpress.org/clipxdaemon-steals-crypto-transfers/
- 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