CVE-2026-44097 (GCVE-0-2026-44097)
Vulnerability from cvelistv5 – Published: 2026-07-30 06:49 – Updated: 2026-07-30 15:17
VLAI
EPSS
VEX
Title
File Upload vulnerability
Summary
A low-privileged remote attacker with "operator" access can upload arbitrary files via the REST endpoint intended for firmware updates, resulting in persistent storage of attacker-controlled files and potentially exhausting resources, which might lead to Denial-of-Service.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-30 15:12 UTC
CWE
- CWE-434 - Unrestricted Upload of File with Dangerous Type
Assigner
References
1 reference
Impacted products
4 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Phoenix Contact | CHARX SEC-3150 |
Affected:
1.0.0 , < 1.9.1
(semver)
|
guessed | |
| Phoenix Contact | CHARX SEC-3100 |
Affected:
1.0.0 , < 1.9.1
(semver)
|
guessed | |
| Phoenix Contact | CHARX SEC-3050 |
Affected:
1.0.0 , < 1.9.1
(semver)
|
guessed | |
| Phoenix Contact | CHARX SEC-3000 |
Affected:
1.0.0 , < 1.9.1
(semver)
|
guessed |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.