gitpython-developers GitPython up to 3.1.57 Option Name Validator injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.1 | $0-$5k | 0.85 |
Summary
A vulnerability was found in gitpython-developers GitPython up to 3.1.57. It has been classified as critical. This impacts an unknown function of the component Option Name Validator. The manipulation leads to injection. This vulnerability is listed as CVE-2026-76221. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability was found in gitpython-developers GitPython up to 3.1.57. It has been rated as critical. This issue affects an unknown code block of the component Option Name Validator. The manipulation with an unknown input leads to a injection vulnerability. Using CWE to declare the problem leads to CWE-74. The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
GitPython before 3.1.58 contains a config-name injection vulnerability in the option-name validator that allows attackers to forge arbitrary git-config directives by injecting equals signs, hash symbols, and whitespace into option names. Attackers can inject malicious option names like 'sshCommand = touch /tmp/RCE #' to execute arbitrary commands via core.sshCommand or core.hooksPath on the next git operation.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-76221 since 08/19/2026. The exploitation is known to be easy. The attack may be initiated remotely. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1055 according to MITRE ATT&CK.
Upgrading to version 3.1.58 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
- 3.1.0
- 3.1.1
- 3.1.2
- 3.1.3
- 3.1.4
- 3.1.5
- 3.1.6
- 3.1.7
- 3.1.8
- 3.1.9
- 3.1.10
- 3.1.11
- 3.1.12
- 3.1.13
- 3.1.14
- 3.1.15
- 3.1.16
- 3.1.17
- 3.1.18
- 3.1.19
- 3.1.20
- 3.1.21
- 3.1.22
- 3.1.23
- 3.1.24
- 3.1.25
- 3.1.26
- 3.1.27
- 3.1.28
- 3.1.29
- 3.1.30
- 3.1.31
- 3.1.32
- 3.1.33
- 3.1.34
- 3.1.35
- 3.1.36
- 3.1.37
- 3.1.38
- 3.1.39
- 3.1.40
- 3.1.41
- 3.1.42
- 3.1.43
- 3.1.44
- 3.1.45
- 3.1.46
- 3.1.47
- 3.1.48
- 3.1.49
- 3.1.50
- 3.1.51
- 3.1.52
- 3.1.53
- 3.1.54
- 3.1.55
- 3.1.56
- 3.1.57
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 7.1VulDB Meta Temp Score: 7.1
VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 8.8
CNA Vector (VulnCheck): 🔒
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: InjectionCWE: CWE-74 / CWE-707 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: GitPython 3.1.58
Timeline
08/19/2026 Advisory disclosed08/19/2026 CVE reserved
08/19/2026 VulDB entry created
08/19/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-76221 (🔒)
GCVE (CVE): GCVE-0-2026-76221
GCVE (VulDB): GCVE-100-393083
Entry
Created: 08/19/2026 16:42Changes: 08/19/2026 16:42 (77)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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