GCVE-1988-2026-0123
Vulnerability from gna-1988 – Published: 2026-09-07 13:20 – Updated: 2026-09-11 11:51
VLAI
EPSS
VEX
Title
Security advisory: Pre-authentication RCE (BinaryFormatter deserialization) in Cinegy Cinegize 2026-02-05 installer (Cinegy GmbH)
Summary
0day Rubbish Research Team is publicly disclosing a vulnerability in Cinegy Cinegize 2026-02-05 installer (Cinegy
GmbH). The research is published and a proof-of-concept is available.
Pre-authentication RCE (BinaryFormatter deserialization) (CVSS 9.8, pre-authentication)
Cinegy Cinegize (2026-02-05 installer) registers a Windows service listening on TCP 51140 with a DotNetty pipeline that
deserializes .NET BinaryFormatter objects before the authorization handler runs. An unauthenticated remote attacker
sends a TypeConfuseDelegate gadget frame; deserialization triggers Process.Start as LocalSystem. No authentication, no
license gate, and a default inbound firewall rule make the service reachable in a default install. Dynamically verified.
Impact: Full compromise of the broadcast and media-workflow automation host as LocalSystem. The attacker can disrupt
broadcast operations, execute arbitrary commands, and access media assets.
Advisory: https://0day-rubbish.com/blog/cinegy-cinegize-unauth-binaryformatter-rce
PoC and full analysis: https://github.com/Exploit-Garbage/0day-Rubbish
Vendor has been notified. CVE ID is pending.
--
0day Rubbish Research Team
https://0day-rubbish.com
_______________________________________________
Sent through the Full Disclosure mailing list
https://nmap.org/mailman/listinfo/fulldisclosure
Web Archives & RSS: https://seclists.org/fulldisclosure/
Severity
No CVSS data available.
Assigner
References
7 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Security | advisory Pre-authentication |
Affected:
unknown
|
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.
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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