Apache InLong 1.2.0-1.6.0 Improper Subscription Permission (CVE-2023-31453)
CVE-2023-31453 Published on May 22, 2023

Apache InLong: IDOR make users can delete others' subscription
Incorrect Permission Assignment for Critical Resource Vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.2.0 through 1.6.0. The attacker can delete others' subscriptions, even if they are not the owner of the deleted subscription. Users are advised to upgrade to Apache InLong's 1.7.0 or cherry-pick [1] to solve it. [1] https://github.com/apache/inlong/pull/7949 https://github.com/apache/inlong/pull/7949

Vendor Advisory NVD

Vulnerability Analysis

CVE-2023-31453 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 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

Incorrect Permission Assignment for Critical Resource

The product specifies permissions for a security-critical resource in a way that allows that resource to be read or modified by unintended actors. When a resource is given a permissions setting that provides access to a wider range of actors than required, it could lead to the exposure of sensitive information, or the modification of that resource by unintended parties. This is especially dangerous when the resource is related to program configuration, execution or sensitive user data.


Products Associated with CVE-2023-31453

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
0.21%
Percentile
43.06%

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.