Information disclosure in Humansignal Label-Studio

CVE-2023-47117

Label Studio is an open source data labeling tool. In all current versions of Label Studio prior to 1.9.2post0, the application allows users to insecurely set filters for filtering tasks. An attacker can construct a filter chain to filter tasks based on sensitive fields for all user accounts on the platform by exploiting Django's Object Relational Mapper (ORM). Since the results of query can be manipulated by the ORM filter, an attacker can leak these sensitive fields character by character. In addition, Label Studio had a hard coded secret key that an attacker can use to forge a session token of any user by exploiting this ORM Leak vulnerability to leak account password hashes. This vulnerability has been addressed in commit `f931d9d129` which is included in the 1.9.2post0 release. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Vulnerability class: Information Disclosure

EPSS: 0.041 (90.0th percentile) — read the EPSS interpretation.

CVSS v3 metric

CVSS v3 base score 7.5 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N.

Affected products

Weakness classification (CWE)

Public proof-of-concept exploits

References

Frequently asked questions

What is CVE-2023-47117?
CVE-2023-47117 is a high-severity vulnerability in Humansignal Label-Studio, classified under Information Disclosure. CVSS score: 7.5/10. Published 2023-11-13.
How severe is CVE-2023-47117?
High severity. CVSS v3 base score is 7.5 out of 10.
Is CVE-2023-47117 known to be exploited?
2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.