CVE security advisories and vulnerability history for firestore by sangoma.
Last updated
sangoma firestore has 1 published CVE records since 2025, of which 1 are in CISA's Known Exploited Vulnerabilities catalog and 1 have a known public exploit. The average CVSS base score across scored CVEs is 8.6.
This page aggregates every publicly disclosed vulnerability (CVE) affecting sangoma firestore, with a severity breakdown, the affected and patched versions, the most common weakness types, and the full CVE list.
How the CVSS severity of sangoma firestore's CVEs breaks down, plus how many are exploited in the wild or have public exploit code.
In CISA’s Known Exploited Vulnerabilities catalog
1
One of sangoma firestore's CVEs is confirmed exploited in the wild.
Public exploits
1
One of sangoma firestore's CVEs has a known public exploit available.
Browse every sangoma firestore version named in a CVE, then pick one to see only the CVEs that affect it.
1 CVE
Added to CISA KEV 2026-02-03
The CWE weakness categories most often found in sangoma firestore CVEs. Follow any weakness for its full explanation.
Browse vulnerabilities for other products by sangoma.
Common questions about sangoma firestore vulnerabilities.
sangoma firestore has 1 published CVE records since 2025.
Yes — 1 of sangoma firestore's CVEs are listed in CISA's Known Exploited Vulnerabilities catalog, confirmed exploited in the wild and carrying a CISA remediation deadline.
Yes — 1 of sangoma firestore's CVEs have a known public exploit.
1 distinct sangoma firestore version is named across its CVEs. Use the version filter above to see the CVEs affecting a specific version.
sangoma firestore's CVEs most often map to these CWE weakness types: CWE-78 (Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')).
The average CVSS base score across sangoma firestore's scored CVEs is 8.6.
Vulnerability data is sourced from the CVE Program; severity, KEV, and exploit signals are aggregated by RadicalNotion.AI.
Monitor new sangoma firestore vulnerabilities as they are disclosed, with AI-written analysis and remediation guidance.
