CVE security advisories and vulnerability history for phoenix by Erlang.
Last updated
Erlang phoenix has 3 published CVE records since 2017, of which 0 are in CISA's Known Exploited Vulnerabilities catalog and 0 have a known public exploit. The average CVSS base score across scored CVEs is 8.1.
This page aggregates every publicly disclosed vulnerability (CVE) affecting Erlang phoenix, with a severity breakdown, the affected and patched versions, the most common weakness types, and the full CVE list.
How the CVSS severity of Erlang phoenix's CVEs breaks down, plus how many are exploited in the wild or have public exploit code.
1 additional CVE has no CVSS severity score.
In CISA’s Known Exploited Vulnerabilities catalog
0
None of Erlang phoenix's CVEs are currently listed in CISA's KEV catalog.
Public exploits
0
No Erlang phoenix CVEs currently have a tracked public exploit.
Browse every Erlang phoenix version named in a CVE, then pick one to see only the CVEs that affect it.
3 CVEs
The CWE weakness categories most often found in Erlang phoenix CVEs. Follow any weakness for its full explanation.
How many Erlang phoenix CVEs were published each year.
Browse vulnerabilities for other products by Erlang.
Common questions about Erlang phoenix vulnerabilities.
Erlang phoenix has 3 published CVE records since 2017.
None of Erlang phoenix's CVEs are currently listed in CISA's Known Exploited Vulnerabilities catalog.
No Erlang phoenix CVEs currently have a tracked public exploit in this dataset.
6 distinct Erlang phoenix versions are named across its CVEs. Use the version filter above to see the CVEs affecting a specific version.
Erlang phoenix's CVEs most often map to these CWE weakness types: CWE-770 (Allocation of Resources Without Limits or Throttling), CWE-863 (Incorrect Authorization).
The average CVSS base score across Erlang phoenix's scored CVEs is 8.1.
Vulnerability data is sourced from the CVE Program; severity, KEV, and exploit signals are aggregated by RadicalNotion.AI.
Monitor new Erlang phoenix vulnerabilities as they are disclosed, with AI-written analysis and remediation guidance.
