CVE-2024-24755 (GCVE-0-2024-24755)
Vulnerability from cvelistv5 – Published: 2024-02-01 22:14 – Updated: 2024-08-01 23:28
VLAI
EPSS
VEX
Title
discourse-group-membership-ip-block is exposing potentially sensitive custom fields
Summary
discourse-group-membership-ip-block is a discourse plugin that adds support for adding users to groups based on their IP address. discourse-group-membership-ip-block was sending all group custom fields to the client, including group custom fields from other plugins which may expect their custom fields to remain secret.
Severity
4.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-02-05 16:40 UTC
CWE
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/discourse/discourse-group-memb… | x_refsource_CONFIRM |
| https://github.com/discourse/discourse-group-memb… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| discourse | discourse-group-membership-ip-block |
Affected:
< b394d61b0bdfd18a2d8310aa5cf26cccf8bd31c1
|
guessed |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.
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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.