Langfuse

Germany Open Source langfuse.com ↗
C
CAUTION
6
Total CVEs
0
Crit / High
4
Medium
25%
Unpatched
50%
Patched
5.5
Avg CVSS
0
CISA KEV
// Data sourced from NVD · CISA KEV · RHSA · GHSA · Debian · OSV · EPSS · Exploit-DB How we collect data →
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▸ CVE Trend by Year
▸ Patch Coverage
Patched
50%
Unpatched
25%
Under Review
25%
✓ 2 patched ✗ 1 unpatched ~ 1 under review
▸ Intelligence by Audience
PoC Available
0 / 20 shown
CISA KEV (Exploited)
0
Shodan Dorks
ssl:"langfuse" port:443
org:"Langfuse" http.status:200
Top EPSS (Exploitation Probability)
CVE-2025-64504 0.32% exploitation probability
CVE-2025-9799 0.29% exploitation probability
CVE-2025-59305 0.27% exploitation probability
CVE-2025-65107 0.16% exploitation probability
Quick Facts for Reporting
Total CVEs tracked
6
Critical severity
0
Actively exploited (CISA)
0
Unpatched ratio
25%
Avg CVSS score
5.5
Security grade
C (CAUTION)
NVD Data Attribution
Source: NIST National Vulnerability Database (NVD) + GitHub Advisory Database.
Data aggregated by Valters IT Hub · valtersit.com
Last updated: 2026-07-07
Security Risk Score (for investors)
LOW
Vuln Volume
GOOD
Patch Responsiveness
LOW
CISA Exposure
⚠ Not financial advice. Past security incidents do not guarantee future stock performance.
▸ Security News Google News

No recent security news found for Langfuse.

▸ Recent CVEs showing 20 of 4
CVE IDSeverityPatchEPSSDate
CVE-2025-65107 6.5 MEDIUM PATCHED / FIX AVAILABLE 0.16% 2025-11-21
CVE-2025-64504 5.0 MEDIUM PATCHED / FIX AVAILABLE 0.32% 2025-11-10
CVE-2025-59305 ? N/A PATCH UNDER REVIEW 0.27% 2025-09-24
CVE-2025-9799 2.3 LOW UNKNOWN / UNPATCHED 0.29% 2025-09-01
View all 4 CVEs for Langfuse →
▸Intel
HQBerlin, Germany
Founded2022
CountryGermany
LicenseOpen Source
Trust ScoreC — CAUTION
Max CVSS6.5
Last Updated2026-07-07
▸Company Profile

Langfuse is a German software company that provides an open-source observability and analytics platform for LLM (large language model) applications. Their product helps developers monitor, debug, and evaluate AI agent performance and costs, which is relevant to cybersecurity for detecting prompt injection, data leakage, and model misuse. The platform's significance lies in enabling security teams to audit AI workflows and ensure compliance in production environments.

▸Response Metrics
Est. MTTR ⓘ ~90 days (Average)
Mean Time To Remediate. Estimates days from CVE disclosure to patch.
Industry avg: ~60d (good) · 100-300d (poor) · 300d+ (critical)
CVE Trend ⓘ ↘ -50% better
CVE count 2026 vs 2025:  4 → 2 CVEs
Patch Speed ⓘ Poor (>65% open)
25% of CVEs still unpatched.  Excellent: <20% · Good: 20-40% · Avg: 40-65% · Poor: >65%
▸ Financial Risk Estimate
Est. GDPR Low
€500K
Est. GDPR High
€5.0M

Based on 0 critical CVEs, 0 CISA KEV, 83% unpatched. Model: GDPR Art.83 · not legal advice.

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