Vulnerability Monitor

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CVE-2018-18071


An issue was discovered in the Daimler Mercedes-Benz Me app 2.11.0-846 for iOS. The encrypted Connected Vehicle API data exchange between the app and a server might be intercepted. The app can be used to operate the Remote Parking Pilot, unlock the vehicle, or obtain sensitive information such as latitude, longitude, and direction of travel.


Security Impact Summary

This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.5, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts confidentiality (data exposure), for affected systems. Impacting 1 product from mercedes-benz organizations running these solutions should prioritize assessment and patching.

Historical Context

First disclosed in 2018, this vulnerability was reported during a period defined by widespread IoT adoption challenges, mobile security concerns, and the emergence of advanced persistent threat (APT) techniques. Contemporary mitigation strategies focused on secure development practices and third-party component vetting.


Published

2018-10-09T09:29:00.400

Last Modified

2024-11-21T03:55:26.210

Status

Modified

Source

[email protected]

Severity

CVSSv3.0: 7.5 (HIGH)

CVSSv2 Vector

AV:N/AC:L/Au:N/C:P/I:N/A:N

  • Access Vector: NETWORK
  • Access Complexity: LOW
  • Authentication: NONE
  • Confidentiality Impact: PARTIAL
  • Integrity Impact: NONE
  • Availability Impact: NONE
Exploitability Score

10.0

Impact Score

2.9

Weaknesses
  • Type: Primary
    CWE-319

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application mercedes-benz mercedes_me 2.11.0 Yes

References

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For mercedes-benz's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.