Vulnerability Monitor

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CVE-2018-20091


An SQL injection vulnerability was found in Cloudera Data Science Workbench (CDSW) 1.4.0 through 1.4.2. This would allow any authenticated user to run arbitrary queries against CDSW's internal database. The database contains user contact information, encrypted CDSW passwords (in the case of local authentication), API keys, and stored Kerberos keytabs.


Security Impact Summary

This vulnerability carries a CRITICAL severity rating with a CVSS v3.1 score of 9.9, indicating it can be exploited remotely over the network with relatively low complexity 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 cloudera organizations running these solutions should prioritize assessment and patching.

Historical Context

First disclosed in 2019, 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

2019-06-07T16:29:00.330

Last Modified

2024-11-21T04:00:51.380

Status

Modified

Source

[email protected]

Severity

CVSSv3.0: 9.9 (CRITICAL)

CVSSv2 Vector

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

  • Access Vector: NETWORK
  • Access Complexity: LOW
  • Authentication: SINGLE
  • Confidentiality Impact: PARTIAL
  • Integrity Impact: PARTIAL
  • Availability Impact: PARTIAL
Exploitability Score

8.0

Impact Score

6.4

Weaknesses
  • Type: Primary
    CWE-89

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application cloudera data_science_workbench ≤ 1.4.2 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 cloudera'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.