CVE-2024-14033 (GCVE-0-2024-14033)
Vulnerability from cvelistv5 – Published: 2026-04-02 20:40 – Updated: 2026-05-25 23:41
VLAI
EPSS
VEX
Title
Hirschmann EagleSDV Denial of Service via TLS
Summary
Hirschmann EagleSDV firmware prior to 05.4.02 contains a denial-of-service vulnerability in TLS session establishment. Attackers can crash the device during TLS handshake by exploiting protocol downgrades to TLS 1.0 or TLS 1.1, interrupting service availability.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-03 14:44 UTC
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://assets.belden.com/m/774d24c02be5c220/orig… | vendor-advisory |
| https://www.vulncheck.com/advisories/hirschmann-i… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Belden | Hirschmann EagleSDV |
Unaffected:
05.4.02
(custom)
Affected: 0 , < 05.4.01 (custom) |
guessed |
Date Public
2022-08-01 00:00
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
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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.
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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.