CVE-2023-43667
Apache InLong SQL Injection Vulnerability
Description
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') vulnerability in Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.8.0, the attacker can create misleading or false log records, making it harder to audit and trace malicious activities. Users are advised to upgrade to Apache InLong's 1.9.0 or cherry-pick [1] to solve it. [1] https://github.com/apache/inlong/pull/8628
INFO
Published Date :
Oct. 16, 2023, 9:15 a.m.
Last Modified :
Sept. 27, 2024, 12:15 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2023-43667 has a 3 public PoC/Exploit
available at Github.
Go to the Public Exploits
tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2023-43667
.
URL | Resource |
---|---|
https://lists.apache.org/thread/spnb378g268p1f902fr9kqyph2k8n543 | Mailing List |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
None
Java
None
Java
None
Java
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2023-43667
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2023-43667
vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
Sep. 27, 2024
Action Type Old Value New Value Changed Description Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.8.0, the attacker can create misleading or false records, making it harder to audit and trace malicious activities. Users are advised to upgrade to Apache InLong's 1.8.0 or cherry-pick [1] to solve it. [1] https://github.com/apache/inlong/pull/8628 Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') vulnerability in Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.8.0, the attacker can create misleading or false log records, making it harder to audit and trace malicious activities. Users are advised to upgrade to Apache InLong's 1.9.0 or cherry-pick [1] to solve it. [1] https://github.com/apache/inlong/pull/8628 Added CWE Apache Software Foundation CWE-74 Removed CWE Apache Software Foundation CWE-89 -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Oct. 19, 2023
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N Changed Reference Type https://lists.apache.org/thread/spnb378g268p1f902fr9kqyph2k8n543 No Types Assigned https://lists.apache.org/thread/spnb378g268p1f902fr9kqyph2k8n543 Mailing List Added CPE Configuration OR *cpe:2.3:a:apache:inlong:*:*:*:*:*:*:*:* versions from (including) 1.4.0 up to (including) 1.8.0
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2023-43667
is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2023-43667
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.16 }} 0.07%
score
0.52781
percentile