CVE-2018-16854 (GCVE-0-2018-16854)
Vulnerability from cvelistv5 – Published: 2018-11-26 17:00 – Updated: 2024-08-05 10:32
VLAI
EPSS
VEX
Summary
A flaw was found in moodle versions 3.5 to 3.5.2, 3.4 to 3.4.5, 3.3 to 3.3.8, 3.1 to 3.1.14 and earlier. The login form is not protected by a token to prevent login cross-site request forgery. Fixed versions include 3.6, 3.5.3, 3.4.6, 3.3.9 and 3.1.15.
Severity
6.5 (Medium)
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2… | x_refsource_CONFIRM |
| http://www.securitytracker.com/id/1042154 | vdb-entryx_refsource_SECTRACK |
| http://git.moodle.org/gw?p=moodle.git&a=search&h=… | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/106017 | vdb-entryx_refsource_BID |
| https://moodle.org/mod/forum/discuss.php?d=378731 | x_refsource_CONFIRM |
Impacted products
Date Public
2018-11-19 00:00
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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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