Gitpython

United States Open Source github.com/gitpython-developers/GitPython ↗
D
RISKY
5
Total CVEs
4
Crit / High
0
Medium
0%
Unpatched
100%
Patched
8.1
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
100%
Unpatched
0%
✓ 1 patched ✗ 0 unpatched
▸ Intelligence by Audience
PoC Available
0 / 20 shown
CISA KEV (Exploited)
0
Shodan Dorks
ssl:"gitpython" port:443
org:"Gitpython" http.status:200
Top EPSS (Exploitation Probability)
CVE-2024-22190 0.32% exploitation probability
Quick Facts for Reporting
Total CVEs tracked
5
Critical severity
0
Actively exploited (CISA)
0
Unpatched ratio
0%
Avg CVSS score
8.1
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: 2026-08-03
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 Gitpython.

▸ Recent CVEs showing 20 of 1
CVE IDSeverityPatchEPSSDate
CVE-2024-22190 7.8 HIGH PATCHED / FIX AVAILABLE 0.32% 2024-01-11
View all 1 CVEs for Gitpython →
▸Intel
CountryUnited States
LicenseOpen Source
Trust ScoreD — RISKY
Max CVSS8.8
Last Updated2026-08-03
▸Top Weaknesses
CWE-22
Unknown Weakness Type
1 occurrence in Gitpython CVEs (20% of total)
CWE-22 ⓘ
1
CWE-88
Unknown Weakness Type
1 occurrence in Gitpython CVEs (20% of total)
CWE-88 ⓘ
1
CWE-74
Unknown Weakness Type
1 occurrence in Gitpython CVEs (20% of total)
CWE-74 ⓘ
1
CWE-77
Unknown Weakness Type
1 occurrence in Gitpython CVEs (20% of total)
CWE-77 ⓘ
1
CWE-426
Unknown Weakness Type
1 occurrence in Gitpython CVEs (20% of total)
CWE-426 ⓘ
1
▸Company Profile

GitPython is an open-source Python library that provides a programmatic interface for interacting with Git repositories. It enables developers to perform version control operations directly from Python applications, making it a key component in automation, DevOps, and security tooling within the Python ecosystem. The project has a modest number of tracked CVEs, reflecting its widespread use in software supply chains.

▸Response Metrics
Est. MTTR ⓘ ~30 days (Good)
Mean Time To Remediate. Estimates days from CVE disclosure to patch.
Industry avg: ~60d (good) · 100-300d (poor) · 300d+ (critical)
CVE Trend ⓘ ↗ +300% worse
CVE count 2026 vs 2024:  1 → 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
€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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Gitpython D valtersit.com