Volcengine verl 3.0.0 Model File scripts/model_merger.py torch.load deserialization

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.3$0-$5k0.00

Summaryinfo

A vulnerability was found in Volcengine verl 3.0.0. It has been classified as problematic. Affected by this issue is the function torch.load of the file scripts/model_merger.py of the component Model File Handler. This manipulation causes deserialization. This vulnerability appears as CVE-2025-50461. The attack requires local access. There is no available exploit.

Detailsinfo

A vulnerability classified as problematic was found in Volcengine verl 3.0.0. Affected by this vulnerability is the function torch.load of the file scripts/model_merger.py of the component Model File Handler. The manipulation 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 summary by CVE is:

A deserialization vulnerability exists in Volcengine's verl 3.0.0, specifically in the scripts/model_merger.py script when using the "fsdp" backend. The script calls torch.load() with weights_only=False on user-supplied .pt files, allowing attackers to execute arbitrary code if a maliciously crafted model file is loaded. An attacker can exploit this by convincing a victim to download and place a malicious model file in a local directory with a specific filename pattern. This vulnerability may lead to arbitrary code execution with the privileges of the user running the script.

This vulnerability is known as CVE-2025-50461 since 06/16/2025. The exploitation appears to be easy. Attacking locally is a requirement. Technical details of the vulnerability are known, but there is no available exploit.

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.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

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

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

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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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

06/16/2025 CVE reserved
08/19/2025 +64 days Advisory disclosed
08/19/2025 +0 days VulDB entry created
08/20/2025 +1 days VulDB entry last update

Sourcesinfo

Status: Not defined

CVE: CVE-2025-50461 (🔒)
GCVE (CVE): GCVE-0-2025-50461
GCVE (VulDB): GCVE-100-320563

Entryinfo

Created: 08/19/2025 17:01
Updated: 08/20/2025 16:46
Changes: 08/19/2025 17:01 (53), 08/20/2025 16:46 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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