Vulnerability Monitor

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CVE-2018-1279


Pivotal RabbitMQ for PCF, all versions, uses a deterministically generated cookie that is shared between all machines when configured in a multi-tenant cluster. A remote attacker who can gain information about the network topology can guess this cookie and, if they have access to the right ports on any server in the MQ cluster can use this cookie to gain full control over the entire cluster.


Security Impact Summary

This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 8.5, indicating it can be exploited remotely over the network but requires specific conditions to be met without requiring user interaction requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), and availability (service disruption) for affected systems. Impacting 1 product from pivotal_software 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

2018-12-10T19:29:25.127

Last Modified

2024-11-21T03:59:31.903

Status

Modified

Source

[email protected]

Severity

CVSSv3.0: 8.5 (HIGH)

CVSSv2 Vector

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

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

6.5

Impact Score

2.9

Weaknesses
  • Type: Primary
    CWE-330

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application pivotal_software rabbitmq * 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 pivotal_software'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.