CVE-2024-0551 (GCVE-0-2024-0551)
Vulnerability from cvelistv5 – Published: 2024-02-27 14:07 – Updated: 2024-08-01 18:23
VLAI
EPSS
VEX
Title
Download and export of file via default user role
Summary
Enable exports of the database and associated exported information of the system via the default user role. The attacked would have to have been granted access to the system prior to the attack.
It is worth noting that the deterministic nature of the export name is lower risk as the UI for exporting would start the download at the same time, which once downloaded - deletes the export from the system.
The endpoint for exporting should simply be patched to a higher privilege level.
Severity
7.1 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-08-01 18:21 UTC
CWE
- CWE-284 - Improper Access Control
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| mintplex-labs | mintplex-labs/anything-llm |
Affected:
unspecified , < 1.0.0
(custom)
|
guessed | |
| mintplexlabs | anythingllm |
Affected:
0 , < 1.0.0
(custom)
cpe:2.3:a:mintplexlabs:anythingllm:*:*:*:*:*:*:*:* |
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Sightings
| Author | Source | Type | Date | Other |
|---|
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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
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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.
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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.