GHSA-2752-9RH4-PMMR
Vulnerability from github – Published: 2022-05-14 01:33 – Updated: 2022-05-14 01:33
VLAI
Details
Chamilo Chamilo-lms version 1.11.8 and earlier contains a Cross Site Scripting (XSS) vulnerability in main/messages/new_message.php, main/social/personal_data.php, main/inc/lib/TicketManager.php, main/ticket/ticket_details.php that can result in a message being sent to the Administrator with the XSS to steal cookies. A ticket can be created with a XSS payload in the subject field. This attack appears to be exploitable via as the payload user on the Subject field. This makes it possible to obtain the cookies of all users that have permission to view the tickets. This vulnerability appears to have been fixed in 1.11.x after commit 33e2692a37b5b6340cf5bec1a84e541460983c03.
Severity
6.1 (Medium)
{
"affected": [],
"aliases": [
"CVE-2019-1000015"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2019-02-04T21:29:00Z",
"severity": "MODERATE"
},
"details": "Chamilo Chamilo-lms version 1.11.8 and earlier contains a Cross Site Scripting (XSS) vulnerability in main/messages/new_message.php, main/social/personal_data.php, main/inc/lib/TicketManager.php, main/ticket/ticket_details.php that can result in a message being sent to the Administrator with the XSS to steal cookies. A ticket can be created with a XSS payload in the subject field. This attack appears to be exploitable via \u003csvg/onload=alert(1)\u003e as the payload user on the Subject field. This makes it possible to obtain the cookies of all users that have permission to view the tickets. This vulnerability appears to have been fixed in 1.11.x after commit 33e2692a37b5b6340cf5bec1a84e541460983c03.",
"id": "GHSA-2752-9rh4-pmmr",
"modified": "2022-05-14T01:33:06Z",
"published": "2022-05-14T01:33:06Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-1000015"
},
{
"type": "WEB",
"url": "https://github.com/chamilo/chamilo-lms/commit/33e2692a37b5b6340cf5bec1a84e541460983c03"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
}
]
}
Loading…
Loading…
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.
Loading…
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.
Loading…
Loading…