Incident Score: Analysis & Impact (ADOCMB1774536907)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Adobe Commerce's Vulnerability 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 Adobe Commerce 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 Adobe Commerce breach identified under incident ID ADOCMB1774536907.
The analysis begins with a detailed overview of Adobe Commerce's information like the linkedin page: https://www.linkedin.com/company/adobe-commerce, the number of followers: 125098, the industry type: Technology, Information and Internet and the number of employees: 531 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 713 and after the incident was 708 with a difference of -5 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 Adobe Commerce and their customers.
On 19 March 2026, Unnamed car manufacturer disclosed Payment Skimmer Attack issues under the banner "New WebRTC-Based Payment Skimmer Bypasses Security Controls in Major E-Commerce Attack".
Cybersecurity researchers at Sansec uncovered a sophisticated payment skimmer leveraging WebRTC data channels to exfiltrate stolen payment data, evading traditional security measures.
The disruption is felt across the environment, affecting E-commerce website (Magento/Adobe Commerce), and exposing Payment details.
In response, moved swiftly to contain the threat with measures like Blocking access to *pub/media/custom_options/* directory, scanning for web shells, and began remediation that includes Adobe beta patch (version 2.4.9-beta1).
The case underscores how Ongoing, teams are taking away lessons such as Growing trend of skimmers exploiting non-HTTP protocols (e.g., WebRTC) to evade detection; need for stricter API security and real-time monitoring of peer-to-peer connections, and recommending next steps like Apply Adobe's beta patch (2.4.9-beta1), block access to *pub/media/custom_options/*, scan for web shells, implement CSP bypass-resistant security tools, and monitor UDP traffic for anomalous WebRTC connections.
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 exploited a critical vulnerability in Magento Open Source and Adobe Commerce and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating unauthenticated attackers to upload arbitrary executables via the REST API. Under the Execution tactic, the analysis identified JavaScript (T1059.007) with high confidence (90%), supported by evidence indicating malicious JavaScript code, injecting it into the webpage to steal payment details and Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating self-executing script that connects to a hard-coded IP address. Under the Persistence tactic, the analysis identified Web Shell (T1505.003) with moderate to high confidence (70%), supported by evidence indicating scanning for web shells, blocking access to *pub/media/custom_options/* directory. Under the Defense Evasion tactic, the analysis identified Disable or Modify Tools (T1562.001) with moderate to high confidence (80%), supported by evidence indicating bypass Content Security Policy (CSP) restrictions, rendering many network security tools ineffective and Application Layer Protocol: DNS/WebRTC (T1071.004) with high confidence (90%), supported by evidence indicating webRTC data channels to exfiltrate stolen payment data, DTLS-encrypted UDP traffic. Under the Collection tactic, the analysis identified Input Capture: Web Portal Capture (T1056.003) with high confidence (90%), supported by evidence indicating steal payment details, Payment details compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating webRTC connection to transmit payloads and stolen information, data exfiltration via WebRTC and Exfiltration Over Alternative Protocol: Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (80%), supported by evidence indicating dTLS-encrypted UDP traffic rather than HTTP, UDP port 3479. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating remote code execution, unauthorized code execution and data exfiltration. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Adobe Commerce Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/adobe-commerce/incident/ADOCMB1774536907
- Adobe Commerce CyberSecurity Rating page: https://www.rankiteo.com/company/adobe-commerce
- Adobe Commerce Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/adocmb1774536907-adobe-unnamed-car-manufacturer-vulnerability-march-2026/
- Adobe Commerce CyberSecurity Score History: https://www.rankiteo.com/company/adobe-commerce/history
- Adobe Commerce CyberSecurity Incident Source: https://thehackernews.com/2026/03/webrtc-skimmer-bypasses-csp-to-steal.html
- 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