Label studio
D
RISKY
7
Total CVEs
3
Crit / High
2
Medium
0%
Unpatched
0%
Patched
6.8
Avg CVSS
0
CISA KEV
// Data sourced from NVD · CISA KEV · RHSA · GHSA · Debian · OSV · EPSS · Exploit-DB
How we collect data →
CVE Trend by Year
Patch Coverage
✓ 0 patched ✗ 0 unpatched
Intelligence by Audience
PoC Available
0 / 20 shown
CISA KEV (Exploited)
0
Shodan Dorks
ssl:"label studio" port:443
org:"Label studio" http.status:200
Top EPSS (Exploitation Probability)
No EPSS data yet for recent CVEs — scores are published by FIRST.org within 24-48h of NVD disclosure.
Quick Facts for Reporting
Total CVEs tracked
7
Critical severity
0
Actively exploited (CISA)
0
Unpatched ratio
0%
Avg CVSS score
6.8
Security grade
D (RISKY)
NVD Data Attribution
Source: NIST National Vulnerability Database (NVD) + GitHub Advisory Database.
Data aggregated by Valters IT Hub · valtersit.com
Last updated: 2026-06-30
Data aggregated by Valters IT Hub · valtersit.com
Last updated: 2026-06-30
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.
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Recent CVEs
showing 20 of 0
No published CVEs found.
Intel
CountryUnited States
LicenseOpen Source
Trust ScoreD — RISKY
Max CVSS8.6
Last Updated2026-06-30
Top Weaknesses
CWE-79
Cross-Site Scripting (XSS)
4 occurrences in Label studio CVEs
(57% of total)
CWE-22
Unknown Weakness Type
1 occurrence in Label studio CVEs
(14% of total)
CWE-918
Server-Side Request Forgery (SSRF)
1 occurrence in Label studio CVEs
(14% of total)
CWE-200
Sensitive Information Exposure
1 occurrence in Label studio CVEs
(14% of total)
Company Profile
Label Studio is an open-source data labeling platform used primarily for machine learning and AI model training. Its cybersecurity relevance stems from its role in managing and processing potentially sensitive datasets, where misconfigurations or vulnerabilities could lead to data exposure. The platform is widely adopted in research and enterprise environments for annotation tasks.
Response Metrics
Est. MTTR ⓘ
~500 days
(Critical)
Mean Time To Remediate. Estimates days from CVE disclosure to patch.
Industry avg: ~60d (good) · 100-300d (poor) · 300d+ (critical)
Industry avg: ~60d (good) · 100-300d (poor) · 300d+ (critical)
CVE Trend ⓘ ↘ -67% better
CVE count 2026 vs 2025:
3 → 1 CVEs
Patch Speed ⓘ Poor (>65% open)
0% of CVEs still unpatched.
Excellent: <20% · Good: 20-40% · Avg: 40-65% · Poor: >65%
Financial Risk Estimate
Est. GDPR Low
€600K
Est. GDPR High
€6.0M
Based on 0 critical CVEs, 0 CISA KEV, 100% unpatched. Model: GDPR Art.83 · not legal advice.
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