CVE-2019-3498 (GCVE-0-2019-3498)
Vulnerability from cvelistv5 – Published: 2019-01-09 22:00 – Updated: 2024-08-04 19:12
VLAI
EPSS
VEX
Summary
In Django 1.11.x before 1.11.18, 2.0.x before 2.0.10, and 2.1.x before 2.1.5, an Improper Neutralization of Special Elements in Output Used by a Downstream Component issue exists in django.views.defaults.page_not_found(), leading to content spoofing (in a 404 error page) if a user fails to recognize that a crafted URL has malicious content.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://groups.google.com/forum/#%21topic/django-… | x_refsource_MISC |
| https://docs.djangoproject.com/en/dev/releases/se… | x_refsource_MISC |
| https://usn.ubuntu.com/3851-1/ | vendor-advisoryx_refsource_UBUNTU |
| http://www.securityfocus.com/bid/106453 | vdb-entryx_refsource_BID |
| https://lists.debian.org/debian-lts-announce/2019… | mailing-listx_refsource_MLIST |
| https://www.djangoproject.com/weblog/2019/jan/04/… | x_refsource_MISC |
| https://www.debian.org/security/2019/dsa-4363 | vendor-advisoryx_refsource_DEBIAN |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
Date Public
2019-01-09 00:00
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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.
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- 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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