CVE-2023-40590 (GCVE-0-2023-40590)
Vulnerability from cvelistv5 – Published: 2023-08-28 17:24 – Updated: 2024-10-02 14:04
VLAI
EPSS
VEX
Title
Untrusted search path on Windows systems leading to arbitrary code execution
Summary
GitPython is a python library used to interact with Git repositories. When resolving a program, Python/Windows look for the current working directory, and after that the PATH environment. GitPython defaults to use the `git` command, if a user runs GitPython from a repo has a `git.exe` or `git` executable, that program will be run instead of the one in the user's `PATH`. This is more of a problem on how Python interacts with Windows systems, Linux and any other OS aren't affected by this. But probably people using GitPython usually run it from the CWD of a repo. An attacker can trick a user to download a repository with a malicious `git` executable, if the user runs/imports GitPython from that directory, it allows the attacker to run any arbitrary commands. There is no fix currently available for windows users, however there are a few mitigations. 1: Default to an absolute path for the git program on Windows, like `C:\\Program Files\\Git\\cmd\\git.EXE` (default git path installation). 2: Require users to set the `GIT_PYTHON_GIT_EXECUTABLE` environment variable on Windows systems. 3: Make this problem prominent in the documentation and advise users to never run GitPython from an untrusted repo, or set the `GIT_PYTHON_GIT_EXECUTABLE` env var to an absolute path. 4: Resolve the executable manually by only looking into the `PATH` environment variable.
Severity
7.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-02 14:04 UTC
CWE
- CWE-426 - Untrusted Search Path
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/gitpython-developers/GitPython… | x_refsource_CONFIRM |
| https://docs.python.org/3/library/subprocess.html… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| gitpython-developers | GitPython |
Affected:
<= 3.1.32
|
guessed |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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