Chatchat-space
C
CAUTION
7
Total CVEs
0
Crit / High
4
Medium
0%
Unpatched
0%
Patched
4.3
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:"chatchat-space" port:443
org:"Chatchat-space" 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
4.3
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: 2026-06-23
Data aggregated by Valters IT Hub · valtersit.com
Last updated: 2026-06-23
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 Chatchat-space.
Recent CVEs
showing 20 of 0
No published CVEs found.
Intel
CountryChina
LicenseOpen Source
Trust ScoreC — CAUTION
Max CVSS6.3
Last Updated2026-06-23
Top Weaknesses
CWE-22
Unknown Weakness Type
3 occurrences in Chatchat-space CVEs
(43% of total)
CWE-330
Unknown Weakness Type
1 occurrence in Chatchat-space CVEs
(14% of total)
CWE-328
Unknown Weakness Type
1 occurrence in Chatchat-space CVEs
(14% of total)
CWE-306
Missing Authentication
1 occurrence in Chatchat-space CVEs
(14% of total)
CWE-367
Unknown Weakness Type
1 occurrence in Chatchat-space CVEs
(14% of total)
Company Profile
Chatchat-space is a Chinese software vendor specializing in AI-powered conversational platforms, particularly known for its open-source chatbot framework. Their main product enables developers to build and deploy large language model (LLM) based chat applications. The company's cybersecurity relevance stems from the need to secure AI-driven communication systems against vulnerabilities, though their limited CVE count suggests a relatively small security research footprint.
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 ⓘ ↗ +33% worse
CVE count 2026 vs 2025:
3 → 4 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
€429K
Est. GDPR High
€4.3M
Based on 0 critical CVEs, 0 CISA KEV, 71% unpatched. Model: GDPR Art.83 · not legal advice.
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