Incident Score: Analysis & Impact (MEM1786618503)
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 Memori'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 Memori 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 Memori breach identified under incident ID MEM1786618503.
The analysis begins with a detailed overview of Memori's information like the linkedin page: https://www.linkedin.com/company/memorisrl, the number of followers: 1845, the industry type: Software Development and the number of employees: 18 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 750 and after the incident was 731 with a difference of -19 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 Memori and their customers.
A newly reported cybersecurity incident, "Kimwolf v7 Botnet Enhances Stealth with Chrome-Like Traffic, Targets Android TV Devices", has drawn attention.
The Kimwolf v7 botnet has evolved to evade detection by mimicking legitimate web traffic, posing a heightened threat to Android TV boxes and set-top devices.
The disruption is felt across the environment, affecting Android TV boxes and set-top devices.
In response, and began remediation that includes Disabling ADB or restricting it to USB-only access.
The case underscores how teams are taking away lessons such as The malware’s adaptability underscores the persistent threat posed by compromised consumer devices in large-scale attacks. Defenders should monitor for unusual activity and secure ADB services, and recommending next steps like Disable ADB or restrict it to USB-only access and Monitor for unusual blockchain connections, proxy activity, and local proxy behavior.
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 Exploit Public-Facing Application (T1190) with high confidence (90%), supported by evidence indicating exploiting exposed Android Debug Bridge (ADB) services via residential proxies and Exploitation of Remote Services (T1210) with moderate to high confidence (80%), supported by evidence indicating exposed ADB services without authentication. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating install malware without authentication on Android TV devices. Under the Persistence tactic, the analysis identified Create or Modify System Process: Windows Service (T1543.003) with moderate confidence (50%), supported by evidence indicating compromised devices weaponized for DDoS attacks (implied persistence). Under the Defense Evasion tactic, the analysis identified Masquerading: Match Legitimate Name or Location (T1036.005) with high confidence (90%), supported by evidence indicating mimicking legitimate web traffic with Chrome-like browser fingerprints, Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating hTTP/2 floods replicating browser headers, and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (60%), supported by evidence indicating removal of scanning/exploitation tools (split operations). Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with high confidence (90%), supported by evidence indicating hTTP/2-based attacks with Chrome-like fingerprints, Proxy: External Proxy (T1090.002) with moderate to high confidence (80%), supported by evidence indicating residential proxies used for malware installation, and Dynamic Resolution: Domain Generation Algorithms (T1568.002) with moderate to high confidence (70%), supported by evidence indicating ethereum Name Service (ENS) records for resilient command infrastructure. Under the Impact tactic, the analysis identified Network Denial of Service (T1498) with high confidence (100%), supported by evidence indicating record-breaking Aisuru DDoS incident, HTTP/2 floods, UDP floods. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Memori Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/memorisrl/incident/MEM1786618503
- Memori CyberSecurity Rating page: https://www.rankiteo.com/company/memorisrl
- Memori Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/mem1786618503-aisuru-cyber-attack-february-2026/
- Memori CyberSecurity Score History: https://www.rankiteo.com/company/memorisrl/history
- Memori CyberSecurity Incident Source: https://cybersecuritynews.com/kimwolf-v7-uses-chrome-browser/
- 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