CVE-2017-17454 (GCVE-0-2017-17454)
Vulnerability from cvelistv5 – Published: 2018-02-20 22:00 – Updated: 2024-08-05 20:51
VLAI
EPSS
VEX
Summary
Mahara 16.10 before 16.10.7 and 17.04 before 17.04.5 and 17.10 before 17.10.2 have a Cross Site Scripting (XSS) vulnerability when a user enters invalid UTF-8 characters. These are now going to be discarded in Mahara along with NULL characters and invalid Unicode characters. Mahara will also avoid direct $_GET and $_POST usage where possible, and instead use param_exists() and the correct param_*() function to fetch the expected value.
Severity
5.4 (Medium)
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://mahara.org/interaction/forum/topic.php?id=8149 | x_refsource_CONFIRM |
| https://reviews.mahara.org/#/c/8191/ | x_refsource_CONFIRM |
| https://bugs.launchpad.net/mahara/+bug/1732987 | x_refsource_MISC |
Date Public
2018-01-16 00:00
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}
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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.
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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