Deserialization Untrusted Data Arbitrary File Read in Apache InLong 1.41.7
CVE-2023-34434 Published on July 25, 2023

Apache InLong: JDBC URL bypassing by allowLoadLocalInfileInPath param
Deserialization of Untrusted Data Vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.7.0.  The attacker could bypass the current logic and achieve arbitrary file reading. To solve it, users are advised to upgrade to Apache InLong's 1.8.0 or cherry-pick https://github.com/apache/inlong/pull/8130 .

Vendor Advisory NVD

Vulnerability Analysis

CVE-2023-34434 is exploitable 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 high impact on confidentiality, with no impact on integrity and availability.

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

Weakness Type

What is a Marshaling, Unmarshaling Vulnerability?

The application deserializes untrusted data without sufficiently verifying that the resulting data will be valid.

CVE-2023-34434 has been classified to as a Marshaling, Unmarshaling vulnerability or weakness.


Products Associated with CVE-2023-34434

Want to know whenever a new CVE is published for Apache InLong? stack.watch will email you.

Apache InLong
 

Affected Versions

Apache Software Foundation Apache InLong: apache inlong:

Exploit Probability

EPSS
0.39%
Percentile
59.42%

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.