CVE-2024-21645
PyLoad Log Injection Vulnerability (Unauthenticated Logger Tampering)
Description
pyLoad is the free and open-source Download Manager written in pure Python. A log injection vulnerability was identified in `pyload` allowing any unauthenticated actor to inject arbitrary messages into the logs gathered by `pyload`. Forged or otherwise, corrupted log files can be used to cover an attacker’s tracks or even to implicate another party in the commission of a malicious act. This vulnerability has been patched in version 0.5.0b3.dev77.
INFO
Published Date :
Jan. 8, 2024, 2:15 p.m.
Last Modified :
Jan. 11, 2024, 5:32 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
1.4
Exploitability Score :
3.9
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-2024-21645
.
URL | Resource |
---|---|
https://github.com/pyload/pyload/commit/4159a1191ec4fe6d927e57a9c4bb8f54e16c381d | Patch |
https://github.com/pyload/pyload/security/advisories/GHSA-ghmw-rwh8-6qmr | Exploit Vendor Advisory |
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).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2024-21645
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-21645
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]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Jan. 11, 2024
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N Changed Reference Type https://github.com/pyload/pyload/commit/4159a1191ec4fe6d927e57a9c4bb8f54e16c381d No Types Assigned https://github.com/pyload/pyload/commit/4159a1191ec4fe6d927e57a9c4bb8f54e16c381d Patch Changed Reference Type https://github.com/pyload/pyload/security/advisories/GHSA-ghmw-rwh8-6qmr No Types Assigned https://github.com/pyload/pyload/security/advisories/GHSA-ghmw-rwh8-6qmr Exploit, Vendor Advisory Added CPE Configuration OR *cpe:2.3:a:pyload:pyload:*:*:*:*:*:*:*:* versions up to (including) 0.4.9 *cpe:2.3:a:pyload:pyload:0.5.0:beta1:*:*:*:*:*:* *cpe:2.3:a:pyload:pyload:0.5.0:beta2:*:*:*:*:*:* -
CVE Received by [email protected]
Jan. 08, 2024
Action Type Old Value New Value Added Description pyLoad is the free and open-source Download Manager written in pure Python. A log injection vulnerability was identified in `pyload` allowing any unauthenticated actor to inject arbitrary messages into the logs gathered by `pyload`. Forged or otherwise, corrupted log files can be used to cover an attacker’s tracks or even to implicate another party in the commission of a malicious act. This vulnerability has been patched in version 0.5.0b3.dev77. Added Reference GitHub, Inc. https://github.com/pyload/pyload/security/advisories/GHSA-ghmw-rwh8-6qmr [No types assigned] Added Reference GitHub, Inc. https://github.com/pyload/pyload/commit/4159a1191ec4fe6d927e57a9c4bb8f54e16c381d [No types assigned] Added CWE GitHub, Inc. CWE-74 Added CVSS V3.1 GitHub, Inc. AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-21645
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-2024-21645
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.29 }} -0.11%
score
0.69707
percentile