GCVE-1988-2026-0056
Vulnerability from gna-1988 – Published: 2026-09-07 13:20 – Updated: 2026-09-11 11:37
VLAI
EPSS
VEX
Title
Security advisory: Pre-authentication SYSTEM RCE in Stimulsoft Server 2026.3.1 (Stimulsoft)
Summary
0day Rubbish Research Team is publicly disclosing a vulnerability in Stimulsoft Server 2026.3.1 (Stimulsoft). The
research is published and a proof-of-concept is available.
Pre-authentication SYSTEM RCE (CVSS 9.8, pre-authentication)
A default-configuration defect chain combines into a complete unauthenticated RCE. The /1/signup endpoint is open by
default with email activation disabled, so an anonymous attacker registers and immediately receives a Supervisor
account. The Supervisor uploads a .mrt report template containing an embedded C# script. PUT
/1/reporttemplates/<id>/run triggers the report-script engine, which compiles the script with CSharpCodeProvider in
full trust (no AppDomain isolation, no CAS sandbox, no class allowlist) and instantiates the report class, executing
the attacker-controlled constructor. The report task runs in the backend service process Stimulsoft.Server.Agent.exe as
NT AUTHORITY\SYSTEM. No credentials, no SMTP, no administrator action, and no non-default configuration are required.
Impact: Full system takeover; the report task executes in the backend service process running as NT AUTHORITY\SYSTEM,
giving arbitrary code execution with the highest Windows privilege.
Advisory: https://0day-rubbish.com/blog/stimulsoft-server-unauth-report-script-rce
PoC and full analysis: https://github.com/Exploit-Garbage/0day-Rubbish
--
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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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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