CVE-2023-6910 (GCVE-0-2023-6910)
Vulnerability from cvelistv5 – Published: 2023-12-20 09:36 – Updated: 2026-02-23 09:00
VLAI
EPSS
VEX
Title
Uncontrolled Resource Consumption in M-Files Server
Summary
A vulnerable API method in M-Files Server before 23.12.13195.0 allows for uncontrolled resource consumption. Authenticated attacker can exhaust server storage space to a point where the server can no longer serve requests.
Severity
6.5 (Medium)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://product.m-files.com/security-advisories/c… | vendor-advisory |
| https://empower.m-files.com/security-advisories/C… | vendor-advisory |
| https://www.m-files.com/about/trust-center/securi… | x_transferred |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| M-Files Corporation | M-Files Server |
Affected:
0 , < 23.12.13195.0
(custom)
Unaffected: 23.8 LTS SR4 Unaffected: 23.2 LTS SR6 |
guessed |
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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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