CVE-2024-5737 (GCVE-0-2024-5737)
Vulnerability from cvelistv5 – Published: 2024-06-28 11:29 – Updated: 2024-08-01 21:18
VLAI
EPSS
VEX
Title
HTML Injection in AdmirorFrames Joomla! Extension
Summary
Script afGdStream.php in AdmirorFrames Joomla! extension doesn’t specify a content type and as a result default (text/html) is used. An attacker may embed HTML tags directly in image data which is rendered by a webpage as HTML. This issue affects AdmirorFrames: before 5.0.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-02 21:59 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting')
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://cert.pl/en/posts/2024/06/CVE-2024-5735/ | third-party-advisory |
| https://cert.pl/posts/2024/06/CVE-2024-5735/ | third-party-advisory |
| https://github.com/vasiljevski/admirorframes/issues/3 | issue-tracking |
| https://github.com/sectroyer/CVEs/tree/main/CVE-2… | technical-description |
| https://github.com/afine-com/CVE-2024-5737 | technical-description |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Nikola Vasilijevski | AdmirorFrames |
Affected:
0 , < 5.0
(custom)
|
guessed | |
| admiror-design-studio | admiror_frames |
Affected:
0 , < 5.0
(custom)
cpe:2.3:a:admiror-design-studio:admiror_frames:5.0:*:*:*:*:*:*:* |
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],
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],
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},
{
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],
"source": "nvd@nist.gov",
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]
}
},
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"initial_release_date": "2024-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
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"url": "https://security.access.redhat.com/data/csaf/v2/vex/2024/cve-2024-5737.json",
"version": "3"
},
"vulnrichment": {
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"url": "https://github.com/afine-com/CVE-2024-5737"
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],
"title": "CVE Program Container"
},
{
"affected": [
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"cpes": [
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"defaultStatus": "unknown",
"product": "admiror_frames",
"vendor": "admiror-design-studio",
"versions": [
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],
"metrics": [
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"other": {
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"options": [
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{
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"timestamp": "2024-07-02T21:59:53.619986Z",
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],
"providerMetadata": {
"dateUpdated": "2024-07-02T22:01:37.709Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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"cna": {
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"credits": [
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},
{
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{
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"dataType": "CVE_RECORD",
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}
}
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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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