HumanSignal Label Studio up to 1.24.0 Import-From-URL Endpoint server-side request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.1 | $0-$5k | 2.48+ |
Summary
A vulnerability identified as critical has been detected in HumanSignal Label Studio up to 1.24.0. The affected element is an unknown function of the component Import-From-URL Endpoint. This manipulation causes server-side request forgery. This vulnerability is registered as CVE-2026-72560. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability has been found in HumanSignal Label Studio up to 1.24.0 and classified as critical. Affected by this vulnerability is some unknown functionality of the component Import-From-URL Endpoint. The manipulation with an unknown input leads to a server-side request forgery vulnerability. The CWE definition for the vulnerability is CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
A server-side request forgery vulnerability in HumanSignal Label Studio through 1.24.0.dev0 exists because SSRF_PROTECTION_ENABLED is set to false by default. The import-from-URL endpoint fetches any caller-supplied URL including internal loopback addresses on the default installation. An authenticated user can use this to reach internal services, cloud metadata endpoints, and other resources not intended for external access.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-72560 since 08/10/2026. The exploitation appears to be easy. The attack can be launched remotely. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 08/11/2026).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Server-side request forgeryCWE: CWE-918
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
08/10/2026 CVE reserved08/11/2026 Advisory disclosed
08/11/2026 VulDB entry created
08/11/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2026-72560 (🔒)
GCVE (CVE): GCVE-0-2026-72560
GCVE (VulDB): GCVE-100-388075
Entry
Created: 08/11/2026 13:53Changes: 08/11/2026 13:53 (53)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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