PYSEC-2026-2957
Vulnerability from pysec - Published: 2026-07-13 15:19 - Updated: 2026-07-13 16:05
VLAI
Details
A vulnerability in the GitHubRepository block of the prefect-github integration in Prefect version 3.6.18 allows an attacker to inject arbitrary git command-line options via the reference field. The reference field is concatenated directly into a git clone command string without proper sanitization, and then parsed by shlex.split(). This enables injection of options such as -c, leading to potential Server-Side Request Forgery (SSRF), credential theft, or remote code execution (RCE). The vulnerability affects both the aget_directory() and get_directory() methods in src/integrations/prefect-github/prefect_github/repository.py. This issue does not affect the GitLab and BitBucket integrations, which use a safer list-based command construction approach.
Severity
8.5 (High)
Impacted products
| Name | purl | prefect | pkg:pypi/prefect |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "prefect",
"purl": "pkg:pypi/prefect"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "3.6.18"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.10.0",
"0.10.1",
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}
],
"aliases": [
"CVE-2026-3515",
"GHSA-cw25-2p92-7f75"
],
"details": "A vulnerability in the `GitHubRepository` block of the `prefect-github` integration in Prefect version 3.6.18 allows an attacker to inject arbitrary git command-line options via the `reference` field. The `reference` field is concatenated directly into a `git clone` command string without proper sanitization, and then parsed by `shlex.split()`. This enables injection of options such as `-c`, leading to potential Server-Side Request Forgery (SSRF), credential theft, or remote code execution (RCE). The vulnerability affects both the `aget_directory()` and `get_directory()` methods in `src/integrations/prefect-github/prefect_github/repository.py`. This issue does not affect the GitLab and BitBucket integrations, which use a safer list-based command construction approach.",
"id": "PYSEC-2026-2957",
"modified": "2026-07-13T16:05:46.509039Z",
"published": "2026-07-13T15:19:11.737226Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-3515"
},
{
"type": "PACKAGE",
"url": "https://github.com/PrefectHQ/prefect"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/f3b048b8-7f4e-45ef-a5a7-cb841c39acde"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/prefect"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-cw25-2p92-7f75"
}
],
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N",
"type": "CVSS_V3"
}
],
"summary": "Prefect has an Argument Injection issue"
}
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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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