What is the CVSS score of CVE-2023-47117?

CVE-2023-47117 has a CVSS 3.1 base score of 7.5 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N. EPSS exploitation probability: 4.1%.

Is there a public PoC exploit available for CVE-2023-47117?

Yes, a public proof-of-concept exploit is available for CVE-2023-47117. Prioritise patching immediately. EPSS: 4.1%.

Is there a patch available for CVE-2023-47117?

Yes, a patch is available for CVE-2023-47117. Update the affected software to the latest version immediately.

Python CVE-2023-47117

HIGH

Information Exposure (CWE-200)

2023-11-13 security-advisories@github.com

Information Disclosure Python Label Studio

7.5

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

7.5 HIGH

AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

None

Availability

None

Lifecycle Timeline

CVE Published

Nov 13, 2023 - 21:15 nvd

HIGH 7.5

DescriptionNVD

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.

AnalysisAI

Label Studio is an open source data labeling tool. Rated high severity (CVSS 7.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available.

Technical ContextAI

This vulnerability is classified as Exposure of Sensitive Information (CWE-200), which allows attackers to access sensitive data that should not be disclosed. 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. Affected products include: Humansignal Label Studio. Version information: prior to 1.9.2.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Minimize information in error messages, implement proper access controls, encrypt sensitive data at rest and in transit.