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CMB Automotive Group Ltd.

CMB Automotive Group Ltd. Vendor Cyber Rating & Cyber Score

cmbautomotive.com

We Build Powerful Automotive Brands CMB is a strategic marketing and brand agency for the global automotive, off-highway equipment and defence sectors. We build powerful brands and create marketing strategies, integrated campaigns, communications and advertising for OEMs, OE Suppliers, Transportation Technology and the Aftermarket. By delivering market insight, strategy and executing intelligent, focused marketing communications, we help automotive companies build their brands, drive sales and win new business opportunities. With offices in the UK and in Detroit, CMB offers a unique global perspective and insight relevant to today’s automotive industry.


CAGL A.I CyberSecurity Scoring

CAGL
Company Information
Website:https://www.cmbautomotive.com
Employees number:9
Number of followers:469
NAICS:541613
Industry Type:Advertising Services
Homepage:cmbautomotive.com
CAGL Risk Score (AI oriented)
Between 700 and 749
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CAGLAdvertising Services
Updated:
03/04/2026
748/1000
Moderate
Ba
AaaAaABaaBaBCaaCaC
Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
CAGL Global Score (TPRM)
xxxx
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CAGLAdvertising Services
•••
Score locked
Instant access to detailed risk factors
Vulnerabilities
Benchmark vs. industry & size peers
Findings

CAGL
CAGLModerate
Current Score
748Ba (MODERATE)
01000
1 incidents
-1 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JULY 2026
748Before Incident
JUNE 2026
748Before Incident
MAY 2026
748Before Incident
APRIL 2026
748Before Incident
MARCH 2026
749Before Incident
Vulnerability
19 Mar 2026CAGL
Adobe and Unnamed Car Manufacturer: WebRTC Skimmer Bypasses CSP to Steal Payment Data from E-Commerce Sites

New WebRTC-Based Payment Skimmer Bypasses Security Controls in Major E-Commerce Attack

748After Incident
CRITICAL-1
ADOCMB1774536907
New WebRTC-Based Payment Skimmer Bypasses Security Controls in Major E-Commerce Attack Cybersecurity researchers at Sansec have uncovered a sophisticated payment skimmer that leverages WebRTC data channels to exfiltrate stolen payment data, evading traditional security measures. Unlike conventional skimmers that rely on HTTP requests or image beacons, this malware establishes a peer-to-peer WebRTC connection to transmit payloads and stolen information, making detection significantly harder. The attack targeted an e-commerce website of a car manufacturer and exploited PolyShell, a critical vulnerability in Magento Open Source and Adobe Commerce. The flaw allows unauthenticated attackers to upload arbitrary executables via the REST API, enabling remote code execution. Since March 19, 2026, the vulnerability has been massively exploited, with over 50 IP addresses scanning for vulnerable stores. Sansec reports that 56.7% of all exposed stores have already been compromised. The skimmer operates as a self-executing script that connects to a hard-coded IP address (202.181.177[.]177) over UDP port 3479 using WebRTC. Once connected, it retrieves malicious JavaScript code, injecting it into the webpage to steal payment details. The use of DTLS-encrypted UDP traffic rather than HTTP allows the attack to bypass Content Security Policy (CSP) restrictions, rendering many network security tools ineffective. Adobe released a beta patch (version 2.4.9-beta1) on March 10, 2026, but the fix has yet to reach production versions. While mitigations include blocking access to the *pub/media/custom_options/* directory and scanning for web shells, the attack highlights a growing trend of skimmers exploiting non-HTTP protocols to evade detection.
INCIDENT DETAILS -
TYPE
Payment Skimmer Attack
MOTIVATION
Financial gain (payment data theft)
IMPACT
Data Compromised: Payment detailsSystems Affected: E-commerce website (Magento/Adobe Commerce)Operational Impact: Potential unauthorized code execution and data exfiltrationBrand Reputation Impact: High (public disclosure of breach)Identity Theft Risk: High (payment information stolen)Payment Information Risk: High
DATA BREACH
Type Of Data Compromised: Payment detailsSensitivity Of Data: High (payment information)Data Exfiltration: Yes (via WebRTC data channels)Data Encryption: DTLS-encrypted UDP trafficPersonally Identifiable Information: Payment information
FEBRUARY 2026
749Before Incident
JANUARY 2026
749Before Incident
DECEMBER 2025
749Before Incident
NOVEMBER 2025
749Before Incident
OCTOBER 2025
749Before Incident
SEPTEMBER 2025
749Before Incident
AUGUST 2025
749Before Incident

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