CVE-2021-42021 (GCVE-0-2021-42021)
Vulnerability from cvelistv5 – Published: 2021-11-09 11:32 – Updated: 2024-08-04 03:22
VLAI
EPSS
VEX
Summary
A vulnerability has been identified in Siveillance Video DLNA Server (2019 R1), Siveillance Video DLNA Server (2019 R2), Siveillance Video DLNA Server (2019 R3), Siveillance Video DLNA Server (2020 R1), Siveillance Video DLNA Server (2020 R2), Siveillance Video DLNA Server (2020 R3), Siveillance Video DLNA Server (2021 R1). The affected application contains a path traversal vulnerability that could allow to read arbitrary files on the server that are outside the application’s web document directory. An unauthenticated remote attacker could exploit this issue to access sensitive information for subsequent attacks.
Severity
7.5 (High)
CWE
- CWE-26 - Path Traversal: '/dir/../filename'
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://cert-portal.siemens.com/productcert/pdf/s… | x_refsource_MISC |
Impacted products
7 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Siemens | Siveillance Video DLNA Server |
Affected:
2019 R1
|
guessed | |
| Siemens | Siveillance Video DLNA Server |
Affected:
2019 R2
|
guessed | |
| Siemens | Siveillance Video DLNA Server |
Affected:
2019 R3
|
guessed | |
| Siemens | Siveillance Video DLNA Server |
Affected:
2020 R1
|
guessed | |
| Siemens | Siveillance Video DLNA Server |
Affected:
2020 R2
|
guessed | |
| Siemens | Siveillance Video DLNA Server |
Affected:
2020 R3
|
guessed | |
| Siemens | Siveillance Video DLNA Server |
Affected:
2021 R1
|
guessed |
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"lastModified": "2024-11-21T06:27:05.887",
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"redhat_vex": {
"current_release_date": "2026-03-27T13:27:45+00:00",
"cve": "CVE-2021-42021",
"id": "CVE-2021-42021",
"initial_release_date": "2021-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "CVE-2021-42021",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-42021.json",
"version": "3"
}
}
}
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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.
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.
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