CVE-2026-14947 (GCVE-0-2026-14947)
Vulnerability from cvelistv5 – Published: 2026-08-20 08:18 – Updated: 2026-08-20 15:26
VLAI
EPSS
VEX
Title
Frauscher Sensortechnik: FDS102 for FAdC/FAdCi R2 is vulnerable to Remote Code Execution via malicious ZIP file
Summary
A high-privileged remote attacker can upload malicious ZIP archive containing directory traversal sequences such as ../ can escape the intended extraction directory and write files to arbitrary locations on the server, potentially achieve arbitrary code execution due to improper validation of archive entry paths before writing files to disk which could result in full system compromise.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-20 15:04 UTC
CWE
- CWE-24 - Path Traversal: '../filedir'
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Frauscher Sensortechnik | FDS 102 |
Affected:
2.8.0 , ≤ 2.13.3
(semver)
cpe:2.3:a:frauscher_sensortechnik:fds_102:*:*:*:*:*:*:*:* |
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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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