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Not in CISA KEV
HIGH severity

CVE-2025-25297 — label-studio

HIGHFix: HumanSignal/label-studio@06a2b29

CVE-2025-25297 is a high-severity (CVSS 8.6) Server-Side Request Forgery (SSRF) vulnerability in label-studio. A fix is available for label-studio — see the affected versions and patch details below.

Label Studio allows Server-Side Request Forgery in the S3 Storage Endpoint

Also known asGHSA-m238-fmcw-wh58PYSEC-2026-1503
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Nov 5, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
0.7%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs52th percentile — riskier than 52% of all scored CVEsHighest risk
0.00%0.39%0.78%1.17%0.1%0.7%May 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

1 pkg affected
🐍label-studio

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Description

Label Studio's S3 storage integration feature contains a Server-Side Request Forgery (SSRF) vulnerability in its endpoint configuration. When creating an S3 storage connection, the application allows users to specify a custom S3 endpoint URL via the s3_endpoint parameter. This endpoint URL is passed directly to the boto3 AWS SDK without proper validation or restrictions on the protocol or destination.

The vulnerability allows an attacker to make the application send HTTP requests to arbitrary internal services by specifying them as the S3 endpoint. When the storage sync operation is triggered, the application attempts to make S3 API calls to the specified endpoint, effectively making HTTP requests to the target service and returning the response in error messages.

This SSRF vulnerability enables attackers to bypass network segmentation and access internal services that should not be accessible from the external network. The vulnerability is particularly severe because error messages from failed requests contain the full response body, allowing data exfiltration from internal services.

Steps to reproduce

  1. Create an account in Label Studio

  2. Create a new project with basic configuration

  3. Create an S3 storage connection with the following configuration:

    {
      "project": 1,
      "title": "Test Storage",
      "bucket": "<filename>",
      "s3_endpoint": "http://internal-web",
      "use_blob_urls": true,
      "aws_access_key_id": "test",
      "aws_secret_access_key": "test"
    }
    
  4. Trigger a storage sync operation by sending a POST request to /api/storages/s3/[storage_id]/sync

The application will attempt to connect to the specified endpoint URL as if it were an S3 service. When the request fails due to invalid S3 API responses, the error message will contain the raw response from the internal service, allowing access to internal resources.

Mitigations

  • Implement strict validation of S3 endpoint URLs to allow only valid S3service endpoints
  • Add an allowlist of endpoint domains and protocols
  • Sanitize error messages to prevent leakage of sensitive information from failed requests
  • Consider implementing network-level controls to restrict outbound connections from the application server

Impact

This vulnerability has high severity as it allows authenticated users to make requests to arbitrary internal services from the application server, potentially exposing sensitive internal resources and bypassing network segmentation. The inclusion of response data in error messages makes this particularly effective for data exfiltration.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIlabel-studioall versions1.16.0pip install --upgrade 'label-studio==1.16.0'

Affected Products

1 product · 1 configurations
Application
label studiohumansignal
< 1.16.0
range

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for label-studio, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update label-studio to 1.16.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2025-25297 is resolved across your whole dependency graph.

  3. Workarounds

    Restrict outbound requests from the affected component to an allowlist of hosts, block access to link-local and internal address ranges at the network layer, and require authentication on internal services so a forged request cannot reach them unauthenticated.

Frequently Asked Questions

## Description Label Studio's S3 storage integration feature contains a Server-Side Request Forgery (SSRF) vulnerability in its endpoint configuration. When creating an S3 storage connection, the application allows users to specify a custom S3 endpoint URL via the s3_endpoint parameter. This endpoint URL is passed directly to the boto3 AWS SDK without proper validation or restrictions on the protocol or destination. The vulnerability allows an attacker to make the application send HTTP requests to arbitrary internal services by specifying them as the S3 endpoint. When the storage sync operati
O3 Security · Impact-Aware SCA

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CVE-2025-25297: label-studio SSRF — Fixed in 1.16.0