Incident Score: Analysis & Impact (REDWOO1775067906)
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 Redsys Servicios de Procesamiento'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 Redsys Servicios de Procesamiento 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 Redsys Servicios de Procesamiento breach identified under incident ID REDWOO1775067906.
The analysis begins with a detailed overview of Redsys Servicios de Procesamiento's information like the linkedin page: https://www.linkedin.com/company/redsys-espa-a, the number of followers: 24219, the industry type: Financial Services and the number of employees: 775 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 758 and after the incident was 738 with a difference of -20 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 Redsys Servicios de Procesamiento and their customers.
A newly reported cybersecurity incident, "Sophisticated Magecart Campaign Targets E-Commerce Sites Across 12 Countries for Over Two Years", has drawn attention.
A large-scale Magecart operation has been active since at least early 2024, compromising 17 WooCommerce websites across 12 countries, including the UK, Denmark, France, Spain, and the U.S.
The disruption is felt across the environment, affecting 17 WooCommerce websites, and exposing Payment card details (BIN, full number, CVV, expiration), plus an estimated financial loss of Increased fraud losses for banks and cardholders.
In response, and began remediation that includes Monitor WebSocket traffic from checkout pages, Enforce strict Content Security Policies (CSP) and Implement JavaScript file integrity checks.
The case underscores how teams are taking away lessons such as The campaign underscores the evolving sophistication of digital skimming threats, with attackers investing in resilient infrastructure to sustain operations despite takedowns. Magecart tactics are shifting from opportunistic attacks to long-term, infrastructure-driven campaigns with real-time control, and recommending next steps like Monitor WebSocket traffic from checkout pages, Enforce strict Content Security Policies (CSP) and Implement JavaScript file integrity checks.
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 exploitation of WooCommerce website vulnerabilities and Drive-by Compromise (T1189) with moderate to high confidence (80%), supported by evidence indicating obfuscated JavaScript injection into existing scripts. Under the Execution tactic, the analysis identified JavaScript (T1059.007) with high confidence (95%), supported by evidence indicating obfuscated JavaScript loader injected into WooCommerce sites and User Execution: Malicious Link (T1204.001) with moderate to high confidence (70%), supported by evidence indicating malicious Android APKs prompted under guise of discounts. Under the Persistence tactic, the analysis identified Browser Extensions (T1176) with moderate confidence (60%), supported by evidence indicating fake payment overlays replacing legitimate forms and Web Shell (T1505.003) with moderate to high confidence (70%), supported by evidence indicating dynamic payload retrieval from external domains. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with high confidence (95%), supported by evidence indicating obfuscated JavaScript loader injected into scripts, Valid Accounts: Default Accounts (T1078.001) with moderate confidence (50%), supported by evidence indicating exploitation of WooCommerce vulnerabilities, and Hide Artifacts: Hidden Window (T1564.003) with moderate to high confidence (70%), supported by evidence indicating fake payment overlays mimicking trusted providers. Under the Credential Access tactic, the analysis identified Input Capture: Web Portal Capture (T1056.003) with high confidence (95%), supported by evidence indicating fake payment overlays stealing card details (BIN, CVV, expiration). Under the Collection tactic, the analysis identified Automated Collection (T1119) with high confidence (90%), supported by evidence indicating real-time theft of payment card data via WebSocket channels and Input Capture: Keylogging (T1056.001) with moderate to high confidence (80%), supported by evidence indicating stolen card details include full number, CVV, expiration. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with high confidence (90%), supported by evidence indicating data exfiltration via encrypted WebSocket channels and Dynamic Resolution: Domain Generation Algorithms (T1568.002) with moderate to high confidence (80%), supported by evidence indicating cycling through backup domains if primary ones are blocked. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (95%), supported by evidence indicating stolen card details transmitted via WebSocket channels and Automated Exfiltration (T1020) with high confidence (90%), supported by evidence indicating real-time data exfiltration during checkout. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating fake payment overlays replacing legitimate forms and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating erosion of trust in digital payments. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Redsys Servicios de Procesamiento Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/redsys-espa-a/incident/REDWOO1775067906
- Redsys Servicios de Procesamiento CyberSecurity Rating page: https://www.rankiteo.com/company/redsys-espa-a
- Redsys Servicios de Procesamiento Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/redwoo1775067906-woocommerce-redsys-cyber-attack-february-2024/
- Redsys Servicios de Procesamiento CyberSecurity Score History: https://www.rankiteo.com/company/redsys-espa-a/history
- Redsys Servicios de Procesamiento CyberSecurity Incident Source: https://cybersecuritynews.com/magecart-hijack-estore-checkouts/
- 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