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Label Studio EUVDEUVD-2026-56030

| CVE-2026-72560 MEDIUM
Server-Side Request Forgery (SSRF) (CWE-918)
2026-08-11 TuranSec GHSA-f786-ccx7-hwcw
6.5
CVSS 3.1 · Vendor: TuranSec
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Authenticate with any valid Label Studio account
  2. Delivery
    Submit crafted URL targeting internal address to import-from-URL endpoint
  3. Exploit
    Server performs server-side HTTP fetch without restriction
  4. Execution
    Retrieve response containing internal service data or cloud metadata credentials
  5. Impact
    Exfiltrate credentials or sensitive internal information

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V4 - API and Web Service URL allowlisting, SSRF prevention
MITRE ATT&CK

2 techniques across 2 tactics: Initial Access, Credential Access

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Exploitation Conditions

Exploitation requires a valid Label Studio user account at any privilege level, including standard annotator accounts, as indicated by the PR:L CVSS metric. The critical enabling condition is that SSRF_PROTECTION_ENABLED is set to false, which is the out-of-the-box default for all Label Studio installations through 1.24.0.dev0 - no additional misconfiguration is required to be vulnerable. The import-from-URL endpoint must be reachable by the attacker's authenticated session. Exploitation is bounded to confidentiality impact only: no write access or service disruption is achievable through this vector. The highest-impact scenario (cloud credential theft via instance metadata) is further limited to deployments in cloud environments where IMDSv1 is enabled or IMDSv2 is not enforced; deployments with mandatory IMDSv2 or no attached instance metadata service reduce this risk. On-premises deployments remain vulnerable to SSRF against whatever internal services are network-reachable from the Label Studio host.

Impact

The CVSS 6.5 Medium score reflects the authentication requirement (PR:L) that bounds the attack surface to credentialed users, while correctly capturing the high confidentiality impact from potential cloud credential theft. The low attack complexity and network vector mean any authenticated annotator - not just administrators - can exploit this without specialized tooling. EPSS data was not provided in the available intelligence, limiting probabilistic exploitation modeling. There is no CISA KEV entry and no confirmed public exploit code, making this a credible but not imminently weaponized threat at time of analysis. The default-off protection flag is the most operationally significant signal: this is not a logic flaw requiring a patch but a configuration gap requiring an operator action, meaning the remediation surface is entirely within deployment configuration rather than vendor code. Cloud-hosted deployments where IMDSv2 is not enforced face the highest concrete risk - credential theft via metadata endpoint is a well-documented escalation path. On-premises deployments face SSRF to internal services, whose severity depends on what is reachable from the Label Studio server. The absence of EPSS and KEV data means defenders should weight the ease-of-exploitation (AC:L, PR:L, no UI) and default-vulnerable state heavily in their prioritization.

Exploit ScenarioDerived

An annotator with a standard Label Studio account submits an import task pointing the import-from-URL endpoint to http://169.254.169.254/latest/meta-data/iam/security-credentials/ on an AWS-hosted Label Studio instance. The server fetches the URL server-side and returns the IAM role's temporary access key, secret, and session token in the response, which the attacker uses to authenticate directly to AWS services and escalate privileges. The attack requires only a browser and valid Label Studio credentials - no exploit code or network position is needed.

This Month Plan within 30 days. Why: MEDIUM severity (CVSS 4.0-6.9).
No patch listed yet 0.2% exploitation probability (EPSS)

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AnalysisAIv1 – Aug 11, 2026

Server-side request forgery in HumanSignal Label Studio through 1.24.0.dev0 allows authenticated users to direct the server's import-from-URL endpoint to fetch arbitrary internal addresses, including cloud instance metadata services and RFC-1918 private network hosts. The vulnerability exists because the built-in SSRF mitigation flag SSRF_PROTECTION_ENABLED defaults to false, leaving all default installations exposed without any additional misconfiguration required. No public exploit code or CISA KEV entry has been identified at time of analysis, but the attack pattern is well-understood and requires only valid credentials and standard HTTP requests.

RemediationAI

The primary fix is to explicitly set SSRF_PROTECTION_ENABLED=true in the Label Studio server configuration, which activates the vendor-provided SSRF mitigations already present in the codebase - this should be applied immediately to all existing deployments regardless of version. As a network-layer compensating control, configure egress firewall rules or cloud security groups to block outbound HTTP and HTTPS from the Label Studio host to RFC-1918 private ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16) and link-local ranges (169.254.0.0/16); note this may break legitimate imports from private S3 buckets or internal object storage and requires testing before production enforcement. For AWS deployments, enforcing IMDSv2 (requiring a session-oriented PUT token) eliminates the cloud credential theft scenario even if SSRF remains exploitable, with no functional impact on Label Studio itself. Monitor the vendor repository at https://github.com/HumanSignal/label-studio for a patched release; no specific fix version number is confirmed in available data. No patch version has been independently verified at time of analysis.

Affected VersionsENISA

Label Studio 0 ≤1.24.0

Affected Packages

euvd label_studio no fix

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in euvd

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

Label Studio is an open-source data labeling and annotation platform widely used in machine learning pipelines. Its import-from-URL feature allows users to load datasets or media assets from remote locations; the server performs the HTTP fetch on behalf of the user. CWE-918 (Server-Side Request Forgery) describes exactly this pattern: a server that fetches attacker-supplied URLs without validating or restricting the target. The codebase contains an SSRF protection mechanism controlled by the SSRF_PROTECTION_ENABLED configuration flag, but this flag defaults to false, meaning the protection exists but is inactive in all default installations. The CPE cpe:2.3:a:humansignal:label_studio:*:*:*:*:*:*:*:* indicates the entire version history through 1.24.0.dev0 is affected. Typical high-value SSRF targets include AWS IMDSv1 at 169.254.169.254, GCP metadata at 169.254.169.254/computeMetadata, and internal microservices or databases on private subnets.

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Severity by source

Vendor (TuranSec) PRIMARY 6.5 MEDIUM
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
vuln.today AI 6.5 MEDIUM

Network-accessible import endpoint (AV:N, AC:L); low-privilege account required (PR:L); only confidentiality impacted via internal data read (C:H, I:N, A:N); no scope change.

3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

Primary rating from Vendor (TuranSec).

CVSS VectorVendor: TuranSec

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

DescriptionCVE.org

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.

Threat Intelligence Overview

EPSS Score
0.2%
Top 90% exploitable
Prevalence
Medium
popular open-source ML data annotation platform among data teams
Data Quality
6 sources
Confidence: High
EUVD NVD CVE.org EPSS Vulnrichment GitHub VulDB

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity MEDIUM
CISA KEV No
Public POC No
EPSS 0.2%
Patch available No
Active threat No
Deciding rule
MEDIUM severity (CVSS 4.0-6.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation
None
System Exposure· derived
Open
Automatable
No
Human Impact· derived
Medium
Technical Impact
Partial

Priority Score

32
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +32
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Server-Side Request Forgery exploits applications that fetch remote resources based on user-supplied URLs.

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