CVE-2023-3941 (GCVE-0-2023-3941)
Vulnerability from cvelistv5 – Published: 2024-05-21 10:20 – Updated: 2024-08-02 07:08
VLAI
EPSS
VEX
Title
Multiple arbitrary file writes in ZkTeco-based OEM devices
Summary
Relative Path Traversal vulnerability in ZkTeco-based OEM devices allows an attacker
to write any file on the system with root privileges.
This issue affects
ZkTeco-based OEM devices (ZkTeco ProFace X, Smartec ST-FR043, Smartec
ST-FR041ME and possibly others) with the ZAM170-NF-1.8.25-7354-Ver1.0.0
and possibly others.
Severity
10 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-05-21 14:59 UTC
CWE
- CWE-23 - Relative Path Traversal
Assigner
References
1 reference
Impacted products
4 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ZkTeco | ZkTeco-based OEM devices with firmware ZAM170-NF-1.8.25-7354-Ver1.0.0 |
Affected:
ZAM170-NF-1.8.25-7354-Ver1.0.0
|
guessed | |
| zkteco | smartec_st_fr041me |
Affected:
0 , ≤ ZAM170-NF-1.8.25-7354-Ver1.0.0
(custom)
cpe:2.3:h:zkteco:smartec_st_fr041me:*:*:*:*:*:*:*:* |
||
| zkteco | facedepot_7b |
Affected:
0 , ≤ ZAM170-NF-1.8.25-7354-Ver1.0.0
(custom)
cpe:2.3:h:zkteco:facedepot_7b:-:*:*:*:*:*:*:* |
||
| zkteco | smartec_st_fr043 |
Affected:
0 , ≤ ZAM170-NF-1.8.25-7354-Ver1.0.0
(custom)
cpe:2.3:h:zkteco:smartec_st_fr043:*:*:*:*:*:*:*:* |
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"time": "2023-12-20T10:46:00.000Z",
"value": "Vulnerability reported to PSIRT@zkteco.com in plaintext."
},
{
"lang": "en",
"time": "2024-05-21T10:20:00.000Z",
"value": "No response from vendor; CVE details added to CVE.org."
}
],
"title": "Multiple arbitrary file writes in ZkTeco-based OEM devices",
"x_generator": {
"engine": "Vulnogram 0.2.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "e45d732a-8f6b-4b6b-be76-7420f6a2b988",
"assignerShortName": "Kaspersky",
"cveId": "CVE-2023-3941",
"datePublished": "2024-05-21T10:20:39.827Z",
"dateReserved": "2023-07-25T13:59:28.328Z",
"dateUpdated": "2024-08-02T07:08:50.697Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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