CVE-2023-37569 (GCVE-0-2023-37569)
Vulnerability from cvelistv5 – Published: 2023-08-08 08:04 – Updated: 2025-02-13 17:01Title
OS Command Injection Vulnerability in Emagic Data Center Management Suite
Summary
This vulnerability exists in ESDS Emagic Data Center Management Suit due to lack of input sanitization in its Ping component. A remote authenticated attacker could exploit this by injecting OS commands on the targeted system.
Successful exploitation of this vulnerability could allow the attacker to execute arbitrary code on targeted system.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-10 17:58 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| ESDS | Emagic Data Center Management Suite |
Affected:
0 , ≤ V6.0
(custom)
|
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 76ed7f0c-d880-4604-a4b8-5c33669948c7
Exploited: Yes
Timestamps
First Seen: 2026-09-07
Asserted: 2026-09-07
Scope
Notes: OS Command Injection Vulnerability in Emagic Data Center Management Suite | Affected: ESDS / Emagic Data Center Management Suite | CVSS: 8.8 (HIGH) | EPSS: 0.33886 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | OS Command Injection Vulnerability in Emagic Data Center Management Suite |
| Cve Id | CVE-2023-37569 |
| Vendor | ESDS |
| Ghsa Id | None |
| Product | Emagic Data Center Management Suite |
| Added Date | 2026-09-07T00:00:00.000Z |
| Cvss Score | 8.8 |
| Epss Score | 0.33886 |
| Previous Ids | |
| Cvss Severity | HIGH |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.9835 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2023-37569 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:09 CEST
| Updated: 2026-10-02 09:09 CEST
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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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