GCVE-1988-2026-0115
Vulnerability from gna-1988 – Published: 2026-09-07 13:20 – Updated: 2026-09-11 11:50
VLAI
EPSS
VEX
Title
Security advisory: Pre-authentication RCE in DataStax Enterprise (DSE) 6.8.49 (DataStax)
Summary
0day Rubbish Research Team is publicly disclosing a vulnerability in DataStax Enterprise (DSE) 6.8.49 (DataStax). The
research is published and a proof-of-concept is available.
Pre-authentication RCE (CVSS 9.8, pre-authentication)
DataStax Enterprise (DSE) 6.8.49 runs a Gremlin Server on WebSocket 8182. The default configuration has the
gremlin_server authentication section commented out, which means TinkerPop's default allowAll authenticator - no
authentication. The gremlin-groovy sandbox is enabled by default, but the sandbox only wraps the top-level submitted
script; groovy.lang.Script.evaluate(String) creates a fresh GroovyShell with a default CompilerConfiguration that does
not include the SandboxTransformer, so a nested string is compiled and executed sandbox-free. An attacker submits
this.evaluate("<nested script>"); the nested script runs ["/bin/sh","-c","<cmd>"].execute().text, executing arbitrary
system commands as the dse user. Dynamically verified.
Impact: Full read of the host filesystem and configuration as the dse user, arbitrary OS command execution, and full
control of the DSE host and database services.
Advisory: https://0day-rubbish.com/blog/dse-gremlin-sandbox-bypass-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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