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
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
How urgent is this, really
CVE-2025-25297 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.
Where this sits among everything scored
Of 377,636 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.
Real-World Exposure
label-studioReal-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
-
Create an account in Label Studio
-
Create a new project with basic configuration
-
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" } -
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
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | label-studio | all versions | 1.16.0pip install --upgrade 'label-studio==1.16.0' |
Detection & mitigation playbook
Open-source dependencyDetect
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.
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.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2025-25297 can be triaged on real exposure rather than presence alone.
Tailored to CVE-2025-25297. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is CVE-2025-25297 in your dependencies?
O3 Security finds CVE-2025-25297 across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.