pysec-2023-271
Vulnerability from pysec
Hail is an open-source, general-purpose, Python-based data analysis tool with additional data types and methods for working with genomic data. Hail relies on OpenID Connect (OIDC) email addresses from ID tokens to verify the validity of a user's domain, but because users have the ability to change their email address, they could create accounts and use resources in clusters that they should not have access to. For example, a user could create a Microsoft or Google account and then change their email to test@example.org
. This account can then be used to create a Hail Batch account in Hail Batch clusters whose organization domain is example.org
. The attacker is not able to access private data or impersonate another user, but they would have the ability to run jobs if Hail Batch billing projects are enabled and create Azure Tenants if they have Azure Active Directory Administrator access.
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "hail", "purl": "pkg:pypi/hail" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "0.2.127" } ], "type": "ECOSYSTEM" } ], "versions": [ "0.2", "0.2.1", "0.2.10", "0.2.100", "0.2.101", "0.2.102", "0.2.103", "0.2.104", "0.2.105", "0.2.106", "0.2.107", "0.2.108", "0.2.109", "0.2.11", "0.2.110", "0.2.111", "0.2.112", "0.2.113", "0.2.114", "0.2.115", "0.2.116", "0.2.117", "0.2.118", "0.2.119", "0.2.12", "0.2.120", "0.2.121", "0.2.122", "0.2.123", "0.2.124", "0.2.125", "0.2.126", "0.2.13", "0.2.14", "0.2.15", "0.2.16", "0.2.17", "0.2.18", "0.2.19", "0.2.2", "0.2.20", "0.2.21", "0.2.22", "0.2.23", "0.2.24", "0.2.25", "0.2.26", "0.2.27", "0.2.28", "0.2.29", "0.2.3", "0.2.30", "0.2.31", "0.2.32", "0.2.33", "0.2.34", "0.2.35", "0.2.36", "0.2.37", "0.2.38", "0.2.39", "0.2.4", "0.2.40", "0.2.41", "0.2.42", "0.2.43", "0.2.44", "0.2.45", "0.2.46", "0.2.47", "0.2.48", "0.2.49", "0.2.5", "0.2.50", "0.2.51", "0.2.52", "0.2.53", "0.2.54", "0.2.55", "0.2.56", "0.2.57", "0.2.58", "0.2.59", "0.2.6", "0.2.60", "0.2.61", "0.2.62", "0.2.63", "0.2.64", "0.2.65", "0.2.66", "0.2.67", "0.2.68", "0.2.69", "0.2.7", "0.2.70", "0.2.71", "0.2.72", "0.2.73", "0.2.74", "0.2.75", "0.2.76", "0.2.77", "0.2.78", "0.2.79", "0.2.8", "0.2.80", "0.2.81", "0.2.82", "0.2.83", "0.2.84", "0.2.85", "0.2.86", "0.2.87", "0.2.88", "0.2.89", "0.2.9", "0.2.90", "0.2.91", "0.2.92", "0.2.93", "0.2.94", "0.2.95", "0.2.96", "0.2.97", "0.2.98", "0.2.99" ] } ], "aliases": [ "CVE-2023-51663", "GHSA-487p-qx68-5vjw" ], "details": "Hail is an open-source, general-purpose, Python-based data analysis tool with additional data types and methods for working with genomic data. Hail relies on OpenID Connect (OIDC) email addresses from ID tokens to verify the validity of a user\u0027s domain, but because users have the ability to change their email address, they could create accounts and use resources in clusters that they should not have access to. For example, a user could create a Microsoft or Google account and then change their email to `test@example.org`. This account can then be used to create a Hail Batch account in Hail Batch clusters whose organization domain is `example.org`. The attacker is not able to access private data or impersonate another user, but they would have the ability to run jobs if Hail Batch billing projects are enabled and create Azure Tenants if they have Azure Active Directory Administrator access.", "id": "PYSEC-2023-271", "modified": "2024-11-21T14:22:51.672042+00:00", "published": "2023-12-29T17:16:00+00:00", "references": [ { "type": "ADVISORY", "url": "https://github.com/hail-is/hail/security/advisories/GHSA-487p-qx68-5vjw" } ], "severity": [ { "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N", "type": "CVSS_V3" } ] }
Sightings
Author | Source | Type | Date |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.