CVE security advisories and vulnerability history for octoprint by PyPI.
Last updated
PyPI octoprint has 16 published CVE records since 2021, of which 0 are in CISA's Known Exploited Vulnerabilities catalog and 5 have a known public exploit. The average CVSS base score across scored CVEs is 5.5.
This page aggregates every publicly disclosed vulnerability (CVE) affecting PyPI octoprint, with a severity breakdown, the affected and patched versions, the most common weakness types, and the full CVE list.
How the CVSS severity of PyPI octoprint's CVEs breaks down, plus how many are exploited in the wild or have public exploit code.
2 additional CVEs have no CVSS severity score.
In CISA’s Known Exploited Vulnerabilities catalog
0
None of PyPI octoprint's CVEs are currently listed in CISA's KEV catalog.
Public exploits
5
5 of PyPI octoprint's CVEs have a known public exploit available.
Browse every PyPI octoprint version named in a CVE, then pick one to see only the CVEs that affect it.
16 CVEs
The CWE weakness categories most often found in PyPI octoprint CVEs. Follow any weakness for its full explanation.
How many PyPI octoprint CVEs were published each year.
Browse vulnerabilities for other products by PyPI.
Common questions about PyPI octoprint vulnerabilities.
PyPI octoprint has 16 published CVE records since 2021.
None of PyPI octoprint's CVEs are currently listed in CISA's Known Exploited Vulnerabilities catalog.
Yes — 5 of PyPI octoprint's CVEs have a known public exploit.
95 distinct PyPI octoprint versions are named across its CVEs. Use the version filter above to see the CVEs affecting a specific version.
PyPI octoprint's CVEs most often map to these CWE weakness types: CWE-79 (Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')), CWE-620 (Unverified Password Change), CWE-290 (Authentication Bypass by Spoofing), CWE-1336 (Improper Neutralization of Special Elements Used in a Template Engine).
The average CVSS base score across PyPI octoprint's scored CVEs is 5.5.
Vulnerability data is sourced from the CVE Program; severity, KEV, and exploit signals are aggregated by RadicalNotion.AI.
Monitor new PyPI octoprint vulnerabilities as they are disclosed, with AI-written analysis and remediation guidance.
