CVE-2023-51453 (GCVE-0-2023-51453)
Vulnerability from cvelistv5 – Published: 2024-04-02 10:28 – Updated: 2024-09-30 10:01
VLAI
EPSS
VEX
Summary
A Improper Input Validation issue affecting the v2_sdk_service running on a set of DJI drone devices on the port 10000 could allow an attacker to cause a crash of the service through a crafted payload triggering a missing input size check in the process_push_file function implemented in the libv2_sdk.so library used by the dji_vtwo_sdk binary implementing the service, compromising it in a term of availability and producing a denial-of-service attack. Affected models are Mavic 3 Pro until v01.01.0300, Mavic 3 until v01.00.1200, Mavic 3 Classic until v01.00.0500, Mavic 3 Enterprise until v07.01.10.03, Matrice 300 until v57.00.01.00, Matrice M30 until v07.01.0022 and Mini 3 Pro until v01.00.0620.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-04-02 17:51 UTC
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
1 reference
Impacted products
7 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| DJI | Mavic 3 Pro |
Affected:
0 , < 01.01.0300
(custom)
|
guessed | |
| DJI | Mavic 3 |
Affected:
0 , < 01.00.1200
(custom)
|
guessed | |
| DJI | Mavic 3 Classic |
Affected:
0 , < 01.00.0500
(custom)
|
guessed | |
| DJI | Mavic 3 Enterprise |
Affected:
0 , < 7.01.10.03
(custom)
|
guessed | |
| DJI | Matrice 300 |
Affected:
0 , < 57.00.01.00
(custom)
|
guessed | |
| DJI | Matrice M30 |
Affected:
0 , < 07.01.0022
(custom)
|
guessed | |
| DJI | Mini 3 Pro |
Affected:
0 , < 01.00.0620
(custom)
|
guessed |
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"vectorString": "CVSS:3.1/AV:A/AC:L/PR:L/UI:R/S:U/C:N/I:N/A:L",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-787",
"description": "CWE-787 Out-of-bounds Write",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-09-30T10:01:48.829Z",
"orgId": "bec8025f-a851-46e5-b3a3-058e6b0aa23c",
"shortName": "Nozomi"
},
"references": [
{
"url": "https://www.nozominetworks.com/labs/vulnerability-advisories-cve-2023-51453/"
}
],
"source": {
"discovery": "UNKNOWN"
},
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"cveMetadata": {
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"assignerShortName": "Nozomi",
"cveId": "CVE-2023-51453",
"datePublished": "2024-04-02T10:28:38.221Z",
"dateReserved": "2023-12-19T15:38:30.829Z",
"dateUpdated": "2024-09-30T10:01:48.829Z",
"state": "PUBLISHED"
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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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