K

Kohya_ss

D
RISKY
6
Total CVEs
4
Crit / High
2
Medium
0%
Unpatched
33%
Patched
8.2
Avg CVSS
0
CISA KEV
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▸ CVE Trend by Year
▸ Patch Coverage
Patched
33%
Unpatched
0%
Under Review
67%
✓ 2 patched ✗ 0 unpatched ~ 4 under review
▸ Intelligence by Audience
PoC Available
0 / 20 shown
CISA KEV (Exploited)
0
Top EPSS (Exploitation Probability)
CVE-2024-32022 3.11% exploitation probability
CVE-2024-32027 3.03% exploitation probability
CVE-2024-32026 3.03% exploitation probability
CVE-2024-32025 2.49% exploitation probability
CVE-2024-32024 0.67% exploitation probability
Quick Facts for Reporting
Total CVEs tracked
6
Critical severity
4
Actively exploited (CISA)
0
Unpatched ratio
0%
Avg CVSS score
8.2
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: 2026-07-07
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 Kohya_ss.

▸ Recent CVEs showing 20 of 6
CVE IDSeverityPatchEPSSDate
CVE-2024-32022 9.1 CRITICAL PATCH UNDER REVIEW 3.11% 2024-04-16
CVE-2024-32027 9.1 CRITICAL PATCH UNDER REVIEW 3.03% 2024-04-16
CVE-2024-32026 9.1 CRITICAL PATCH UNDER REVIEW 3.03% 2024-04-16
CVE-2024-32025 9.1 CRITICAL PATCH UNDER REVIEW 2.49% 2024-04-16
CVE-2024-32024 6.5 MEDIUM PATCHED / FIX AVAILABLE 0.67% 2024-04-16
CVE-2024-32023 6.5 MEDIUM PATCHED / FIX AVAILABLE 0.65% 2024-04-16
View all 6 CVEs for Kohya_ss →
▸Intel
Trust ScoreD — RISKY
Max CVSS9.1
Last Updated2026-07-07
▸Top Weaknesses
CWE-77
Unknown Weakness Type
4 occurrences in Kohya_ss CVEs (67% of total)
CWE-77 ⓘ
4
CWE-22
Unknown Weakness Type
2 occurrences in Kohya_ss CVEs (33% of total)
CWE-22 ⓘ
2
▸Company Profile

Kohya_ss is a developer of open-source tools for training and fine-tuning machine learning models, particularly for image generation using Stable Diffusion. Their software is widely used in the AI art community but has limited direct cybersecurity relevance beyond potential supply chain risks from third-party dependencies.

▸Response Metrics
Est. MTTR ⓘ ~167 days (Poor)
Mean Time To Remediate. Estimates days from CVE disclosure to patch.
Industry avg: ~60d (good) · 100-300d (poor) · 300d+ (critical)
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
€640K
Est. GDPR High
€6.4M

Based on 4 critical CVEs, 0 CISA KEV, 100% unpatched. Model: GDPR Art.83 · not legal advice.

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