CVE-2023-6319 (GCVE-0-2023-6319)
Vulnerability from cvelistv5 – Published: 2024-04-09 13:42 – Updated: 2024-08-02 08:28
VLAI
EPSS
VEX
Title
Command injection in the getAudioMetadata method from the com.webos.service.attachedstoragemanager service
Summary
A command injection vulnerability exists in the getAudioMetadata method from the com.webos.service.attachedstoragemanager service on webOS version 4 through 7. A series of specially crafted requests can lead to command execution as the root user. An attacker can make authenticated requests to trigger this vulnerability.
* webOS 4.9.7 - 5.30.40 running on LG43UM7000PLA
* webOS 5.5.0 - 04.50.51 running on OLED55CXPUA
* webOS 6.3.3-442 (kisscurl-kinglake) - 03.36.50 running on OLED48C1PUB
* webOS 7.3.1-43 (mullet-mebin) - 03.33.85 running on OLED55A23LA
Severity
9.1 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-04-11 17:22 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://bitdefender.com/blog/labs/vulnerabilities… | |
| https://lgsecurity.lge.com/bulletins/tv#updateDetails | vendor-advisory |
Impacted products
Date Public
2024-04-09 11:27
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"timestamp": "2024-04-11T17:22:04.377668Z",
"version": "2.0.3"
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"dateUpdated": "2024-07-12T15:19:21.022Z",
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"shortName": "CISA-ADP"
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"title": "CISA ADP Vulnrichment"
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"product": "webOS",
"vendor": "LG",
"versions": [
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"status": "affected",
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"datePublic": "2024-04-09T11:27:00.000Z",
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"tags": [
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"url": "https://lgsecurity.lge.com/bulletins/tv#updateDetails"
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"value": "An update to a newer firmware version fixes the issue.\u003cbr\u003e"
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"source": {
"discovery": "EXTERNAL"
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"title": "Command injection in the getAudioMetadata method from the com.webos.service.attachedstoragemanager service",
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"cveId": "CVE-2023-6319",
"datePublished": "2024-04-09T13:42:06.203Z",
"dateReserved": "2023-11-27T14:21:55.241Z",
"dateUpdated": "2024-08-02T08:28:21.212Z",
"state": "PUBLISHED"
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"dataType": "CVE_RECORD",
"dataVersion": "5.1"
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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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