Openbmb
C
CAUTION
6
Total CVEs
1
Crit / High
3
Medium
100%
Unpatched
0%
Patched
5.1
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 ✗ 1 unpatched
Intelligence by Audience
PoC Available
1 / 20 shown
CISA KEV (Exploited)
0
Shodan Dorks
ssl:"openbmb" port:443
org:"Openbmb" http.status:200
Top EPSS (Exploitation Probability)
Quick Facts for Reporting
Total CVEs tracked
6
Critical severity
0
Actively exploited (CISA)
0
Unpatched ratio
100%
Avg CVSS score
5.1
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: 2026-07-14
Data aggregated by Valters IT Hub · valtersit.com
Last updated: 2026-07-14
Security Risk Score (for investors)
LOW
Vuln Volume
POOR
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 Openbmb.
Recent CVEs
showing 20 of 1
| CVE ID | Severity | Patch | EPSS | Date |
|---|---|---|---|---|
| CVE-2024-2007 PoC | 5.3 MEDIUM | UNKNOWN / UNPATCHED | 0.09% | 2024-02-29 |
Intel
Trust ScoreC — CAUTION
Max CVSS7.3
Last Updated2026-07-14
Top Weaknesses
CWE-22
Unknown Weakness Type
2 occurrences in Openbmb CVEs
(33% of total)
CWE-200
Sensitive Information Exposure
1 occurrence in Openbmb CVEs
(17% of total)
CWE-287
Improper Authentication
1 occurrence in Openbmb CVEs
(17% of total)
CWE-285
Unknown Weakness Type
1 occurrence in Openbmb CVEs
(17% of total)
CWE-265
Unknown Weakness Type
1 occurrence in Openbmb CVEs
(17% of total)
Company Profile
OpenBMB (Open Lab for Big Model Based Systems) is a Chinese research organization focused on developing open-source large language models (LLMs) and AI frameworks, such as the BMTrain and ModelCenter projects. Their work is significant in cybersecurity due to the potential vulnerabilities and supply chain risks associated with widely used open-source AI models. The vendor has a small number of tracked CVEs, reflecting its niche but growing role in the AI software ecosystem.
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 ⓘ ↗ +300% worse
CVE count 2026 vs 2025:
1 → 4 CVEs
Patch Speed ⓘ Poor (>65% open)
100% 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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