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High Severity|Pyload
52
SVRS
5.3
CVSSv3
0.24513
EPSS
TAGSNo tags available
VECTOR STRING
CVSS:3.1AV:NAC:LPR:NUI:NS:UC:NI:LA:N
PUBLICATION DATE2024-01-08
LAST MODIFIED2024-11-14
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Security Intelligence Brief
1. What is this vulnerability and why does it matter?
This vulnerability, identified as CVE-2024-21645, is a log injection flaw in pyLoad, an open-source download manager written in Python. It allows any unauthenticated actor to inject arbitrary messages into the logs gathered by pyLoad. This matters significantly because corrupted or forged log files can be used by an attacker to cover their tracks, hindering incident response and forensic analysis. Furthermore, manipulated logs could be used to falsely implicate another party in malicious activities, undermining trust and accountability within a system.
2. What are the CVSS score, severity level, and disclosure details?
The CVSS score for this vulnerability is 5.3, which indicates a Medium severity level. The vulnerability was publicly disclosed when it was published on January 8, 2024, at 13:20:47 UTC. The record was last modified on November 14, 2024, at 17:38:32 UTC.
3. Which products, vendors, systems, and versions are affected?
The affected product is pyLoad, a free and open-source Download Manager. The vendor is the pyLoad project. Specifically, versions of pyLoad prior to 0.5.0b3.dev77 are vulnerable.
4. What is the technical root cause and attack vector?
The technical root cause is a log injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Logging Mechanism). This implies that pyLoad failed to properly sanitize or validate user-supplied input before writing it to its log files. The attack vector involves an unauthenticated actor exploiting this flaw by submitting specially crafted input that is subsequently logged, allowing the injection of arbitrary messages into pyLoad's logs.
5. How can this vulnerability be exploited?
This vulnerability can be exploited by an unauthenticated actor. The exploitation method involves an attacker providing input to pyLoad that is then logged without proper sanitization. By crafting this input carefully, the attacker can inject arbitrary messages, including misleading or false information, directly into pyLoad's operational logs.
6. What mitigation steps and patches are available?
The primary mitigation step is to upgrade pyLoad to a patched version. Specifically, users should update to version 0.5.0b3.dev77 or any later release, as this version contains the fix for the log injection vulnerability.
7. How can vulnerable systems be detected?
Vulnerable systems can be detected by checking the installed version of pyLoad. Any instance of pyLoad running a version older than 0.5.0b3.dev77 is considered vulnerable to CVE-2024-21645.
8. What are the indicators of compromise (IOCs)?
Specific indicators of compromise (IOCs) are not explicitly detailed in the provided CVE data. However, potential indicators might include:
- Unusual or unexpected entries in pyLoad's log files that do not correspond to legitimate application behavior or user actions.
- Log entries containing characters or formatting inconsistencies not typical of standard pyLoad logging.
- Suspicious activity around the logging mechanism or log file integrity.
9. Which threat actors are known to exploit this vulnerability?
The provided CVE data does not specify any particular threat actors known to be actively exploiting CVE-2024-21645.
10. What public intelligence references and advisories exist?
The primary public intelligence reference is CVE-2024-21645 itself, which documents the vulnerability. The description also indicates that the issue has been patched in version 0.5.0b3.dev77, implying that release notes or advisories from the pyLoad project would detail this fix.
11. What is the risk assessment and urgency level?
The risk assessment for CVE-2024-21645 is Medium, based on its CVSS score of 5.3. While it does not directly lead to remote code execution or data exfiltration, the ability for unauthenticated actors to inject arbitrary messages into logs is a significant integrity concern. Compromised logs can severely hamper incident response, forensic investigations, and the ability to accurately audit system activities. This can facilitate an attacker's ability to remain undetected or to mislead investigators. The urgency level is Moderate, and systems running vulnerable versions of pyLoad should be updated promptly to restore log integrity and maintain a reliable security posture.
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