CVE-2019-2435 Vulnerability Details

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CVE-2019-2435 Metadata Quick Info

CVE Published: 16/01/2019 | CVE Updated: 02/10/2024 | CVE Year: 2019
Source: oracle | Vendor: Oracle Corporation | Product: MySQL Connectors
Status : PUBLISHED

CVE-2019-2435 Description

Vulnerability in the MySQL Connectors component of Oracle MySQL (subcomponent: Connector/Python). Supported versions that are affected are 8.0.13 and prior and 2.1.8 and prior. Easily exploitable vulnerability allows unauthenticated attacker with network access via TLS to compromise MySQL Connectors. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all MySQL Connectors accessible data as well as unauthorized access to critical data or complete access to all MySQL Connectors accessible data. CVSS 3.0 Base Score 8.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N).

Metrics

CVSS Version: 3.1 | Base Score: n/a
Vector: n/a

l➤ Exploitability Metrics:
    Attack Vector (AV)*
    Attack Complexity (AC)*
    Privileges Required (PR)*
    User Interaction (UI)*
    Scope (S)*

l➤ Impact Metrics:
    Confidentiality Impact (C)*
    Integrity Impact (I)*
    Availability Impact (A)*

Weakness Enumeration (CWE)

CWE-ID:
CWE Name: Easily exploitable vulnerability allows unauthenticated attacker with network access via TLS to compromise MySQL Connectors. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all MySQL Connectors accessible data as well as unauthorized access to critical data or complete access to all MySQL Connectors accessible data.
Source: Oracle Corporation

Common Attack Pattern Enumeration and Classification (CAPEC)

CAPEC-ID:
CAPEC Description:


Source: NVD (National Vulnerability Database).