CVE-2024-50649: python_book · Path Traversal
Affects python_bookSource CVE Database V5
Not known to be exploited · CVSS 9.8 Critical.
Data as of 26 Oct 2026, 12:54 UTC
- EPSS
- 0.9% chance of exploitation in 30 days – higher than 62% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 15 Nov 2024
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
GitHubyllxx03/python_bookpkg:github/yllxx03/python_bookOther threats | Affected
| Fixed in– |
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
To mitigate CVE-2024-50649, organizations should immediately implement strict validation and sanitization of all uploaded files. This includes enforcing whitelist checks on file extensions and MIME types, validating file names to prevent directory traversal sequences, and restricting upload directories with proper permissions to avoid execution of uploaded files. Employing server-side checks to verify file content against expected formats can further reduce risk. If possible, disable the avatar upload feature temporarily until a patch is available. Use web application firewalls (WAFs) to detect and block suspicious upload attempts and monitor logs for unusual file upload activity. Running the application with the least privilege necessary and isolating upload directories from critical system components can limit damage if exploitation occurs. Organizations should also stay alert for official patches or updates from python_book developers and apply them promptly once released. Conducting regular security assessments and penetration testing focused on file upload functionalities can help identify similar vulnerabilities proactively.
Description
The user avatar upload function in python_book V1.0 has an arbitrary file upload vulnerability.