PatchSiren cyber security CVE debrief
CVE-2026-80104 eosphoros-ai CVE debrief
A critical vulnerability, CVE-2026-80104, exists in DB-GPT, allowing unauthenticated remote attackers to write arbitrary files and execute code on the server. The vulnerability arises from improper handling of file uploads, enabling attackers to bypass directory constraints and write to any path the server process can access. This can lead to arbitrary code execution when a malicious Python module is imported. The skill_upload endpoint in packages/dbgpt-app/src/dbgpt_app/openapi/api_v1/agentic_data_api.py does not constrain the destination path of uploaded files, allowing attackers to write to any path the server process can access. The endpoint is reachable without credentials due
- Vendor
- eosphoros-ai
- Product
- DB-GPT
- CVSS
- CRITICAL 9.3
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-25
- Original CVE updated
- 2026-09-23
- Advisory published
- 2026-08-25
- Advisory updated
- 2026-09-23
Who should care
Defenders responsible for DB-GPT deployments should assess exposure and prioritize remediation. This vulnerability allows unauthenticated remote attackers to execute code on the server, posing a critical risk to affected systems.
Why it matters
CVE-2026-80104 is a critical vulnerability in DB-GPT that allows unauthenticated remote attackers to execute code on the server. Defenders should assess exposure, prioritize remediation, and implement compensating controls to mitigate the risk.
- Unauthenticated remote code execution
- Arbitrary file write access to server file system
- Potential for lateral movement within the network
- Need for immediate patching or mitigation
Technical summary
The DB-GPT application is vulnerable to an unauthenticated remote code execution attack due to improper handling of file uploads. The skill_upload endpoint in packages/dbgpt-app/src/dbgpt_app/openapi/api_v1/agentic_data_api.py does not constrain the destination path of uploaded files, allowing attackers to write to any path the server process can access. This can lead to arbitrary code execution when a malicious Python module is imported.
Defensive priority
High
Recommended defensive actions
- Immediately upgrade to version 0.8.1 or later
- Restrict access to the skill upload endpoint
- Implement input validation and sanitization for file uploads
- Monitor server logs for suspicious file write activity
- Perform vulnerability scanning to identify exposed systems
- Review access controls for the skill upload endpoint
- Implement additional logging and monitoring for file upload activity
Evidence notes
The vulnerability details are based on the CVE record and source references provided. However, some information, such as the exact scope of affected versions and remediation steps, may require verification from official sources.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-80104 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-80104
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-80104 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-80104
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://github.com/eosphoros-ai/DB-GPT
-
Source reference
Unverified legacy reference
URL: https://github.com/eosphoros-ai/DB-GPT/blob/v0.8.0/packages/dbgpt-app/src/dbgpt_app/openapi/api_v1/agentic_data_api.py
-
Source reference
Unverified legacy reference
URL: https://github.com/eosphoros-ai/DB-GPT/releases/tag/v0.8.1
-
Source reference
Unverified legacy reference
URL: https://pypi.org/project/dbgpt-app/
-
Source reference
Unverified legacy reference
URL: https://www.vulncheck.com/advisories/db-gpt-0.8.0-path-traversal-arbitrary-file-write-via-skill-upload-filename
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.