GHSA-JG62-H7PV-HXGV
Vulnerability from github – Published: 2024-06-21 09:30 – Updated: 2024-06-24 21:26
VLAI
Summary
FriendlyCaptcha Plugin for TYPO3 Captcha Check Bypass
Details
An issue was discovered in the friendlycaptcha_official (aka Integration of Friendly Captcha) extension before 0.1.4 for TYPO3. The extension fails to check the requirement of the captcha field in submitted form data, allowing a remote user to bypass the captcha check. This only affects the captcha integration for the ext:form extension.
Severity
5.3 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "Packagist",
"name": "studiomitte/friendlycaptcha"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.1.4"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2024-38873"
],
"database_specific": {
"cwe_ids": [
"CWE-284"
],
"github_reviewed": true,
"github_reviewed_at": "2024-06-21T15:08:59Z",
"nvd_published_at": "2024-06-21T07:15:09Z",
"severity": "MODERATE"
},
"details": "An issue was discovered in the friendlycaptcha_official (aka Integration of Friendly Captcha) extension before 0.1.4 for TYPO3. The extension fails to check the requirement of the captcha field in submitted form data, allowing a remote user to bypass the captcha check. This only affects the captcha integration for the ext:form extension.",
"id": "GHSA-jg62-h7pv-hxgv",
"modified": "2024-06-24T21:26:45Z",
"published": "2024-06-21T09:30:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-38873"
},
{
"type": "WEB",
"url": "https://github.com/FriendsOfPHP/security-advisories/blob/master/studiomitte/friendlycaptcha/CVE-2024-38873.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/studiomitte/friendlycaptcha-typo3"
},
{
"type": "WEB",
"url": "https://typo3.org/security/advisory/typo3-ext-sa-2024-004"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "FriendlyCaptcha Plugin for TYPO3 Captcha Check Bypass"
}
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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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