GHSA-P2CJ-86V4-7782
Vulnerability from github – Published: 2024-06-18 21:30 – Updated: 2025-05-01 13:31The cURL wrapper in Moodle retained the original request headers when following redirects, so HTTP authorization header information could be unintentionally sent in requests to redirect URLs.
{
"affected": [
{
"package": {
"ecosystem": "Packagist",
"name": "moodle/moodle"
},
"ranges": [
{
"events": [
{
"introduced": "4.4.0-beta"
},
{
"fixed": "4.4.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "Packagist",
"name": "moodle/moodle"
},
"ranges": [
{
"events": [
{
"introduced": "4.3.0-beta"
},
{
"fixed": "4.3.5"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "Packagist",
"name": "moodle/moodle"
},
"ranges": [
{
"events": [
{
"introduced": "4.2.0-beta"
},
{
"fixed": "4.2.8"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "Packagist",
"name": "moodle/moodle"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "4.1.11"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2024-38275"
],
"database_specific": {
"cwe_ids": [
"CWE-226",
"CWE-459"
],
"github_reviewed": true,
"github_reviewed_at": "2024-06-18T22:45:35Z",
"nvd_published_at": "2024-06-18T20:15:13Z",
"severity": "MODERATE"
},
"details": "The cURL wrapper in Moodle retained the original request headers when following redirects, so HTTP authorization header information could be unintentionally sent in requests to redirect URLs.",
"id": "GHSA-p2cj-86v4-7782",
"modified": "2025-05-01T13:31:07Z",
"published": "2024-06-18T21:30:36Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-38275"
},
{
"type": "WEB",
"url": "https://github.com/moodle/moodle/commit/0df3c5837a592e6663c4d531ff6a1f776bc2f785"
},
{
"type": "WEB",
"url": "https://github.com/moodle/moodle/commit/3e38c84315a7991ce5ef5f241f5e873b5ca24f01"
},
{
"type": "WEB",
"url": "https://github.com/moodle/moodle/commit/836b2c23a210317d130017d77bb64e3b510869a9"
},
{
"type": "WEB",
"url": "https://github.com/moodle/moodle/commit/f7988538b2208c55f2c40ce4f0815901dc88049b"
},
{
"type": "PACKAGE",
"url": "https://github.com/moodle/moodle"
},
{
"type": "WEB",
"url": "https://moodle.org/mod/forum/discuss.php?d=459500"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Moodle HTTP authorization header is preserved between \"emulated redirects\""
}
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
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.
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.