HumanSignal label-studio-ml-backend up to 9fb7f4aa186612806af2becfb621f6ed8d9fdbaf PT File neural_nets.py load path deserialization

CVSS Meta Temp Score
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CTI Interest Score
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5.2$0-$5k0.00

Summaryinfo

A vulnerability was found in HumanSignal label-studio-ml-backend up to 9fb7f4aa186612806af2becfb621f6ed8d9fdbaf. It has been rated as problematic. The affected element is the function Load of the file label-studio-ml-backend/label_studio_ml/examples/yolo/utils/neural_nets.py of the component PT File Handler. This manipulation of the argument path causes deserialization. This vulnerability is handled as CVE-2025-5173. It is possible to launch the attack on the local host. There is not any exploit available. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available.

Detailsinfo

A vulnerability has been found in HumanSignal label-studio-ml-backend up to 9fb7f4aa186612806af2becfb621f6ed8d9fdbaf and classified as problematic. Affected by this vulnerability is the function load of the file label-studio-ml-backend/label_studio_ml/examples/yolo/utils/neural_nets.py of the component PT File Handler. The manipulation of the argument path with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality, integrity, and availability.

The weakness was released with XingTu Team of Legendsec at QI-ANXIN as 765. The advisory is shared at github.com. This vulnerability is known as CVE-2025-5173. The exploitation appears to be easy. An attack has to be approached locally. Technical details are known, but no exploit is available.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

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Productinfo

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 5.2

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 5.3
CNA Vector: 🔒

CVSSv2info

AVACAuCIA
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Deserialization
CWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: No

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

05/25/2025 Advisory disclosed
05/25/2025 +0 days VulDB entry created
05/27/2025 +2 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: 765
Organization: XingTu Team of Legendsec at QI-ANXIN
Status: Not defined

CVE: CVE-2025-5173 (🔒)
GCVE (CVE): GCVE-0-2025-5173
GCVE (VulDB): GCVE-100-310261

Entryinfo

Created: 05/25/2025 15:40
Updated: 05/27/2025 13:51
Changes: 05/25/2025 15:40 (56), 05/26/2025 09:21 (30), 05/26/2025 13:38 (1), 05/27/2025 13:51 (1)
Complete: 🔍
Submitter: ybdesire
Committer: ybdesire
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #578126: HumanSignal label-studio-ml-backend 0.0 Deserialization (by ybdesire)

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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