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CVE-2026-48797: CWE-358: Improperly Implemented Security Check for Standard in mcp-tool-shop-org backpropagate

0
Critical
VulnerabilityCVE-2026-48797cvecve-2026-48797cwe-358cwe-862cwe-1295
Published: Tue Jun 16 2026 (06/16/2026, 23:35:22 UTC)
Source: CVE Database V5
Vendor/Project: mcp-tool-shop-org
Product: backpropagate

Description

backpropagate versions prior to 1.2.0 include an optional Reflex web UI that is exposed without authentication despite documentation claiming otherwise. This allows any client with network access to the UI port to fully control training operations, upload datasets, trigger model training, and push to HuggingFace Hub. The issue is due to the Reflex backend not reading the authentication environment variable and lacking any request or WebSocket guards. The vulnerability is fixed in version 1.2.0.

CVSS v4.0

Score 9.3critical

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
None
Privileges Required
None
User Interaction
None
Vuln. Confidentiality
High
Vuln. Integrity
High
Vuln. Availability
High
Subsq. Confidentiality
None
Subsq. Integrity
None
Subsq. Availability
None
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Affected software

backpropagate
pkg:pypi/backpropagate
Affected versions
<1.2.0

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 06/17/2026, 00:00:08 UTC

Technical Analysis

CVE-2026-48797 affects the backpropagate Python library versions before 1.2.0. The Reflex web UI component intended to provide training controls is exposed without authentication even when the CLI flag --auth user:pass is used. The CLI exports an environment variable BACKPROPAGATE_UI_AUTH to the Reflex backend to enforce HTTP Basic authentication, but the backend does not read this variable and does not implement any authentication middleware or request guards. Consequently, any client able to connect to the UI port can perform sensitive operations such as dataset upload, model loading, training control, multi-run orchestration, GGUF export, and pushing models to the HuggingFace Hub. The documentation incorrectly states that authentication is enforced. This security flaw allows unauthorized access and potential denial-of-service via disk fill. The issue was resolved in version 1.2.0.

Potential Impact

An attacker with network access to the Reflex UI port can bypass authentication controls and gain full access to the training control plane. This includes reading uploaded datasets, triggering arbitrary training runs on local models, reading model paths, pushing models to the HuggingFace Hub, and causing denial-of-service conditions by filling disk space. The vulnerability compromises confidentiality, integrity, and availability of the training environment.

Mitigation Recommendations

This vulnerability is fixed in backpropagate version 1.2.0. Users should upgrade to version 1.2.0 or later to ensure the Reflex UI enforces authentication as documented. No other mitigations are indicated by the vendor advisory. Patch status is confirmed by the version fix note.

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Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2026-05-22T20:18:20.366Z
Cvss Version
4.0
State
PUBLISHED
Remediation Level
null

Threat ID: 6a31e0310b89be68884d66e6

Added to database: 6/16/2026, 11:45:53 PM

Last enriched: 6/17/2026, 12:00:08 AM

Last updated: 6/17/2026, 12:53:36 AM

Views: 10

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