Apache InLong 1.2.0-1.6.0: External Access to Files/Dirs (CVE-2023-31064)
CVE-2023-31064 Published on May 22, 2023

Apache InLong: Insecurity direct object references cancelling applications
Files or Directories Accessible to External Parties vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.2.0 through 1.6.0. the user in InLong could cancel an application that doesn't belongs to it. Users are advised to upgrade to Apache InLong's 1.7.0 or cherry-pick https://github.com/apache/inlong/pull/7799 https://github.com/apache/inlong/pull/7799 to solve it.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2023-31064 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 no impact on confidentiality, a high impact on integrity, and no impact on availability.

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

Weakness Type

Files or Directories Accessible to External Parties

The product makes files or directories accessible to unauthorized actors, even though they should not be. Web servers, FTP servers, and similar servers may store a set of files underneath a "root" directory that is accessible to the server's users. Applications may store sensitive files underneath this root without also using access control to limit which users may request those files, if any. Alternately, an application might package multiple files or directories into an archive file (e.g., ZIP or tar), but the application might not exclude sensitive files that are underneath those directories.


Products Associated with CVE-2023-31064

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Affected Versions

Apache Software Foundation Apache InLong: apache inlong:

Exploit Probability

EPSS
0.21%
Percentile
43.72%

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.