CVE-2024-46965 (GCVE-0-2024-46965)
Vulnerability from cvelistv5 – Published: 2024-11-11 00:00 – Updated: 2024-11-12 16:14
VLAI
EPSS
VEX
Summary
The DS allvideo.downloader.browser (aka Fast Video Downloader: Browser) application through 1.6-RC1 for Android allows an attacker to execute arbitrary JavaScript code via the allvideo.downloader.browser.DefaultBrowserActivity component.
Severity
5.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-12 16:09 UTC
CWE
- n/a
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ds_allvideo.downloader.browser_application_for_android |
Affected:
0 , ≤ 1.6-RC1
(custom)
cpe:2.3:a:google:ds_allvideo.downloader.browser_application_for_android:*:*:*:*:*:*:*:* |
{
"containers": {
"adp": [
{
"affected": [
{
"cpes": [
"cpe:2.3:a:google:ds_allvideo.downloader.browser_application_for_android:*:*:*:*:*:*:*:*"
],
"defaultStatus": "unknown",
"product": "ds_allvideo.downloader.browser_application_for_android",
"vendor": "google",
"versions": [
{
"lessThanOrEqual": "1.6-RC1",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N",
"version": "3.1"
}
},
{
"other": {
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"id": "CVE-2024-46965",
"options": [
{
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},
{
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},
{
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}
],
"role": "CISA Coordinator",
"timestamp": "2024-11-12T16:09:16.448762Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94 Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
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"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
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"descriptions": [
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}
],
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},
"references": [
{
"url": "https://play.google.com/store/apps/details?id=allvideo.downloader.browser"
},
{
"url": "https://github.com/actuator/allvideo.downloader.browser/blob/main/CVE-2024-46965"
}
]
}
},
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},
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}
],
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"lastModified": "2024-11-12T17:35:09.427",
"metrics": {
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"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
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"url": "https://play.google.com/store/apps/details?id=allvideo.downloader.browser"
}
],
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],
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"nvd": {
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{
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],
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},
{
"lang": "es",
"value": "La aplicaci\u00f3n DS allvideo.downloader.browser (tambi\u00e9n conocida como Fast Video Downloader: Browser) hasta la versi\u00f3n 1.6-RC1 para Android permite a un atacante ejecutar c\u00f3digo JavaScript arbitrario a trav\u00e9s del componente allvideo.downloader.browser.DefaultBrowserActivity."
}
],
"id": "CVE-2024-46965",
"lastModified": "2026-06-17T07:56:16.907",
"metrics": {
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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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