Cross-organization prompt tampering via missing ownership checks
Published Jun 9, 2024 · Updated Aug 1, 2024
Incorrect authorization in Lunary 1.2.13 allows remote authenticated users to alter or delete other organizations' dataset prompt variations. Dataset prompt-variation handlers fail to verify that the referenced prompt and variation belong to the requesting user's organization or project. An authenticated account can therefore read, create, change, or remove another tenant's prompt variations, compromising dataset integrity and experiment results.
Summary
What happened
Incorrect authorization in Lunary 1.2.13 allows remote authenticated users to alter or delete other organizations' dataset prompt variations. Dataset prompt-variation handlers fail to verify that the referenced prompt and variation belong to the requesting user's organization or project. An authenticated account can therefore read, create, change, or remove another tenant's prompt variations, compromising dataset integrity and experiment results.
The record
- CVE
- CVE-2024-5389
- Published
- Jun 9, 2024
- Updated
- Aug 1, 2024
- Vendor
- Lunary
- Product
- Lunary
- Classifications
- CWE-1220, T1565.001
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Jun 9, 2024CVE publishedPublication date reported by the CVE source.
- Aug 1, 2024Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=1.2.13
- Affected versionversion=unspecified <=latest
What conditions does exploitation require?
What is affected?
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- Huntr proof of concept for CVE-2024-5389proof of concept · unverified
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
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Your stack
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