CVE-2023-27581 (GCVE-0-2023-27581)
Vulnerability from cvelistv5 – Published: 2023-03-13 20:19 – Updated: 2025-02-25 14:58
VLAI
EPSS
VEX
Title
github-slug-action vulnerable to arbitrary code execution
Summary
github-slug-action is a GitHub Action to expose slug value of GitHub environment variables inside of one's GitHub workflow. Starting in version 4.0.0` and prior to version 4.4.1, this action uses the `github.head_ref` parameter in an insecure way. This vulnerability can be triggered by any user on GitHub on any workflow using the action on pull requests. They just need to create a pull request with a branch name, which can contain the attack payload. This can be used to execute code on the GitHub runners and to exfiltrate any secrets one uses in the CI pipeline. A patched action is available in version 4.4.1. No workaround is available.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-25 14:29 UTC
CWE
- CWE-77 - Improper Neutralization of Special Elements used in a Command ('Command Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/rlespinasse/github-slug-action… | x_refsource_CONFIRM |
| https://github.com/rlespinasse/github-slug-action… | x_refsource_MISC |
| https://github.com/rlespinasse/github-slug-action… | x_refsource_MISC |
| https://securitylab.github.com/research/github-ac… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| rlespinasse | github-slug-action |
Affected:
>= 4.0.0, < 4.4.1
|
guessed |
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"references": [
{
"name": "https://github.com/rlespinasse/github-slug-action/security/advisories/GHSA-6q4m-7476-932w",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/rlespinasse/github-slug-action/security/advisories/GHSA-6q4m-7476-932w"
},
{
"name": "https://github.com/rlespinasse/github-slug-action/commit/102b1a064a9b145e56556e22b18b19c624538d94",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/rlespinasse/github-slug-action/commit/102b1a064a9b145e56556e22b18b19c624538d94"
},
{
"name": "https://github.com/rlespinasse/github-slug-action/releases/tag/v4.4.1",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/rlespinasse/github-slug-action/releases/tag/v4.4.1"
},
{
"name": "https://securitylab.github.com/research/github-actions-untrusted-input/",
"tags": [
"x_refsource_MISC"
],
"url": "https://securitylab.github.com/research/github-actions-untrusted-input/"
}
],
"source": {
"advisory": "GHSA-6q4m-7476-932w",
"discovery": "UNKNOWN"
},
"title": "github-slug-action vulnerable to arbitrary code execution"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2023-27581",
"datePublished": "2023-03-13T20:19:23.350Z",
"dateReserved": "2023-03-04T01:03:53.633Z",
"dateUpdated": "2025-02-25T14:58:17.504Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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