Apache InLong 1.41.5 SQL Injection via orderType param
CVE-2023-30465 Published on April 11, 2023

Apache InLong: SQL injection in apache inLong 1.5.0
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.5.0. By manipulating the "orderType" parameter and the ordering of the returned content using an SQL injection attack, an attacker can extract the username of the   user with ID 1 from the "user" table, one character at a time.  Users are advised to upgrade to Apache InLong's 1.6.0 or cherry-pick [1] to solve it. https://programmer.help/blogs/jdbc-deserialization-vulnerability-learning.html [1] https://github.com/apache/inlong/issues/7529 https://github.com/apache/inlong/issues/7529

Vendor Advisory NVD

Vulnerability Analysis

CVE-2023-30465 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a small impact on confidentiality, a small impact on integrity and availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
LOW
Integrity Impact:
NONE
Availability Impact:
NONE

Weakness Type

What is a SQL Injection Vulnerability?

The software constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component.

CVE-2023-30465 has been classified to as a SQL Injection vulnerability or weakness.


Products Associated with CVE-2023-30465

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Apache InLong
 

Affected Versions

Apache Software Foundation Apache InLong: apache inlong:

Exploit Probability

EPSS
0.17%
Percentile
37.51%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.