GHSA-PJX4-3F3P-29V3
Vulnerability from github – Published: 2023-01-05 09:30 – Updated: 2024-09-16 21:38
VLAI
Summary
django-ucamlookup Cross-site Scripting vulnerability
Details
A vulnerability classified as problematic was found in University of Cambridge django-ucamlookup up to 1.9.1. Affected by this vulnerability is an unknown functionality of the component Lookup Handler. The manipulation leads to cross site scripting. The attack can be launched remotely. Upgrading to version 1.9.2 can address this issue. The name of the patch is 5e25e4765637ea4b9e0bf5fcd5e9a922abee7eb3. It is recommended to upgrade the affected component. The identifier VDB-217441 was assigned to this vulnerability.
NOTE: This vulnerability only affects products that are no longer supported by the maintainer.
Severity
6.1 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "django-ucamlookup"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.9.2"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2016-15010"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": true,
"github_reviewed_at": "2023-01-09T20:03:05Z",
"nvd_published_at": "2023-01-05T09:15:00Z",
"severity": "MODERATE"
},
"details": "A vulnerability classified as problematic was found in University of Cambridge django-ucamlookup up to 1.9.1. Affected by this vulnerability is an unknown functionality of the component Lookup Handler. The manipulation leads to cross site scripting. The attack can be launched remotely. Upgrading to version 1.9.2 can address this issue. The name of the patch is 5e25e4765637ea4b9e0bf5fcd5e9a922abee7eb3. It is recommended to upgrade the affected component. The identifier VDB-217441 was assigned to this vulnerability.\n\nNOTE: This vulnerability only affects products that are no longer supported by the maintainer.",
"id": "GHSA-pjx4-3f3p-29v3",
"modified": "2024-09-16T21:38:14Z",
"published": "2023-01-05T09:30:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2016-15010"
},
{
"type": "WEB",
"url": "https://github.com/uisautomation/django-ucamlookup/commit/5e25e4765637ea4b9e0bf5fcd5e9a922abee7eb3"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/django-ucamlookup/PYSEC-2023-14.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/uisautomation/django-ucamlookup"
},
{
"type": "WEB",
"url": "https://github.com/uisautomation/django-ucamlookup/releases/tag/1.9.2"
},
{
"type": "WEB",
"url": "https://vuldb.com/?ctiid.217441"
},
{
"type": "WEB",
"url": "https://vuldb.com/?id.217441"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N",
"type": "CVSS_V4"
}
],
"summary": "django-ucamlookup Cross-site Scripting vulnerability"
}
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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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