9.8
CRITICAL
CVE-2019-12017
MapR CLDB Remote Code Execution (RCE) Vulnerability
Description

A remote code execution vulnerability exists in MapR CLDB code, specifically in the JSON framework that is used in the CLDB code that handles login and ticket issuance. An attacker can use the 'class' property of the JSON request sent to the CLDB to influence the JSON library's decision on which Java class this JSON request is deserialized to. By doing so, the attacker can force the MapR CLDB to construct a URLClassLoader which loads a malicious Java class from a remote path and instantiate this object in the MapR CLDB, thus executing arbitrary code on the machine running the MapR CLDB and take over the cluster. By switching to the newer Jackson library and ensuring that all incoming JSON requests are only deserialized to the same class that it was serialized from, the vulnerability is fixed. This vulnerability affects the entire MapR core platform.

INFO

Published Date :

Oct. 24, 2019, 3:15 p.m.

Last Modified :

Aug. 24, 2020, 5:37 p.m.

Remotely Exploitable :

Yes !

Impact Score :

5.9

Exploitability Score :

3.9
Affected Products

The following products are affected by CVE-2019-12017 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Mapr mapr
References to Advisories, Solutions, and Tools

Here, you will find a curated list of external links that provide in-depth information, practical solutions, and valuable tools related to CVE-2019-12017.

URL Resource
https://mapr.com/support/s/article/Remote-code-execution-vulnerability-in-MapR-MFS-CLDB?language=en_US Vendor Advisory

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2019-12017 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2019-12017 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • CVE Modified by [email protected]

    May. 14, 2024

    Action Type Old Value New Value
  • CWE Remap by [email protected]

    Aug. 24, 2020

    Action Type Old Value New Value
    Changed CWE CWE-20 CWE-502
  • Initial Analysis by [email protected]

    Oct. 29, 2019

    Action Type Old Value New Value
    Added CVSS V2 NIST (AV:N/AC:L/Au:N/C:P/I:P/A:P)
    Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
    Changed Reference Type https://mapr.com/support/s/article/Remote-code-execution-vulnerability-in-MapR-MFS-CLDB?language=en_US No Types Assigned https://mapr.com/support/s/article/Remote-code-execution-vulnerability-in-MapR-MFS-CLDB?language=en_US Vendor Advisory
    Added CWE NIST CWE-20
    Added CPE Configuration OR *cpe:2.3:a:mapr:mapr:*:*:*:*:*:*:*:* versions up to (excluding) 5.2.2
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2019-12017 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2019-12017 weaknesses.

Exploit Prediction

EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.

1.76 }} 0.46%

score

0.86565

percentile

CVSS31 - Vulnerability Scoring System
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