CVE-2024-56327 (GCVE-0-2024-56327)
Vulnerability from cvelistv5 – Published: 2024-12-19 22:24 – Updated: 2024-12-20 17:32
VLAI
EPSS
VEX
Title
Malicious plugin names, recipients, or identities can cause arbitrary binary execution in pyrage
Summary
pyrage is a set of Python bindings for the rage file encryption library (age in Rust). `pyrage` uses the Rust `age` crate for its underlying operations, and `age` is vulnerable to GHSA-4fg7-vxc8-qx5w. All details of GHSA-4fg7-vxc8-qx5w are relevant to `pyrage` for the versions specified in this advisory. See GHSA-4fg7-vxc8-qx5w for full details. Versions of `pyrage` before 1.2.0 lack plugin support and are therefore **not affected**. An equivalent issue was fixed in [the reference Go implementation of age](https://github.com/FiloSottile/age), see advisory GHSA-32gq-x56h-299c. This issue has been addressed in version 1.2.3 and all users are advised to update. There are no known workarounds for this vulnerability.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-12-20 17:31 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/woodruffw/pyrage/security/advi… | x_refsource_CONFIRM |
| https://github.com/FiloSottile/age/security/advis… | x_refsource_MISC |
| https://github.com/advisories/GHSA-4fg7-vxc8-qx5w | x_refsource_MISC |
Impacted products
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"url": "https://github.com/woodruffw/pyrage/security/advisories/GHSA-47h8-jmp3-9f28"
},
{
"name": "https://github.com/FiloSottile/age/security/advisories/GHSA-32gq-x56h-299c",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/FiloSottile/age/security/advisories/GHSA-32gq-x56h-299c"
},
{
"name": "https://github.com/advisories/GHSA-4fg7-vxc8-qx5w",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/advisories/GHSA-4fg7-vxc8-qx5w"
}
],
"source": {
"advisory": "GHSA-47h8-jmp3-9f28",
"discovery": "UNKNOWN"
},
"title": "Malicious plugin names, recipients, or identities can cause arbitrary binary execution in pyrage"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2024-56327",
"datePublished": "2024-12-19T22:24:37.174Z",
"dateReserved": "2024-12-19T18:34:22.764Z",
"dateUpdated": "2024-12-20T17:32:22.960Z",
"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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