CVE-2026-77934 (GCVE-0-2026-77934)
Vulnerability from cvelistv5 – Published: 2026-10-20 00:46 – Updated: 2026-10-20 14:29
VLAI
EPSS
VEX
Title
Coze Studio before 0.5.0 RCE via Unsandboxed Local Python Code Runner
Summary
Coze Studio before 0.5.0 contains an insecure default configuration that allows any registered user to execute commands by running workflow code nodes in an unsandboxed python3 subprocess. Attackers can bypass the regex import filter with __import__('subprocess') to run commands, stealing environment variables, model API keys, and accessing MySQL, MinIO, Redis and etcd.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-20 14:28 UTC
CWE
- CWE-1188 - Initialization of a Resource with an Insecure Default
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://www.lasso.security/vulnerability-database… | technical-descriptionexploit |
| https://github.com/coze-dev/coze-studio/commit/fc… | patch |
| https://github.com/coze-dev/coze-studio/blob/ffec… | technical-description |
| https://www.vulncheck.com/advisories/coze-studio-… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| coze-dev | coze-studio |
Affected:
0 , < 0.5.0
(semver)
cpe:2.3:a:coze:coze_studio:*:*:*:*:*:*:*:* |
Date Public
2026-10-18 00:00
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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
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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
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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.
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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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