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Vulnerability Details :

CVE-2025-62608

Summary
Assigner-GitHub_M
Assigner Org ID-a0819718-46f1-4df5-94e2-005712e83aaa
Published At-21 Nov, 2025 | 18:56
Updated At-21 Nov, 2025 | 19:10
Rejected At-
Credits

MLX has heap-buffer-overflow in load()

MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load() when parsing malicious NumPy .npy files. Attacker-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue has been patched in version 0.29.4.

Vendors
-
Not available
Products
-
Metrics (CVSS)
VersionBase scoreBase severityVector
Weaknesses
Attack Patterns
Solution/Workaround
References
HyperlinkResource Type
EPSS History
Score
Latest Score
-
N/A
No data available for selected date range
Percentile
Latest Percentile
-
N/A
No data available for selected date range
Stakeholder-Specific Vulnerability Categorization (SSVC)
â–¼Common Vulnerabilities and Exposures (CVE)
cve.org
Assigner:GitHub_M
Assigner Org ID:a0819718-46f1-4df5-94e2-005712e83aaa
Published At:21 Nov, 2025 | 18:56
Updated At:21 Nov, 2025 | 19:10
Rejected At:
â–¼CVE Numbering Authority (CNA)
MLX has heap-buffer-overflow in load()

MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load() when parsing malicious NumPy .npy files. Attacker-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue has been patched in version 0.29.4.

Affected Products
Vendor
ml-explore
Product
mlx
Versions
Affected
  • < 0.29.4
Problem Types
TypeCWE IDDescription
CWECWE-122CWE-122: Heap-based Buffer Overflow
Type: CWE
CWE ID: CWE-122
Description: CWE-122: Heap-based Buffer Overflow
Metrics
VersionBase scoreBase severityVector
4.05.5MEDIUM
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:L/SC:N/SI:N/SA:N/E:P
Version: 4.0
Base score: 5.5
Base severity: MEDIUM
Vector:
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:L/SC:N/SI:N/SA:N/E:P
Metrics Other Info
Impacts
CAPEC IDDescription
Solutions
Configurations
Workarounds
Exploits
Credits
Timeline
EventDate
Replaced By
Rejected Reason
References
HyperlinkResource
https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6
x_refsource_CONFIRM
https://github.com/ml-explore/mlx/pull/1
x_refsource_MISC
https://github.com/ml-explore/mlx/pull/2
x_refsource_MISC
Hyperlink: https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6
Resource:
x_refsource_CONFIRM
Hyperlink: https://github.com/ml-explore/mlx/pull/1
Resource:
x_refsource_MISC
Hyperlink: https://github.com/ml-explore/mlx/pull/2
Resource:
x_refsource_MISC
â–¼Authorized Data Publishers (ADP)
CISA ADP Vulnrichment
Affected Products
Metrics
VersionBase scoreBase severityVector
Metrics Other Info
Impacts
CAPEC IDDescription
Solutions
Configurations
Workarounds
Exploits
Credits
Timeline
EventDate
Replaced By
Rejected Reason
References
HyperlinkResource
Information is not available yet
â–¼National Vulnerability Database (NVD)
nvd.nist.gov
Source:security-advisories@github.com
Published At:21 Nov, 2025 | 19:16
Updated At:02 Dec, 2025 | 16:34

MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load() when parsing malicious NumPy .npy files. Attacker-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue has been patched in version 0.29.4.

CISA Catalog
Date AddedDue DateVulnerability NameRequired Action
N/A
Date Added: N/A
Due Date: N/A
Vulnerability Name: N/A
Required Action: N/A
Metrics
TypeVersionBase scoreBase severityVector
Secondary4.05.5MEDIUM
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Primary3.19.1CRITICAL
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H
Type: Secondary
Version: 4.0
Base score: 5.5
Base severity: MEDIUM
Vector:
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Type: Primary
Version: 3.1
Base score: 9.1
Base severity: CRITICAL
Vector:
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H
CPE Matches
ml-explore
ml-explore
>>mlx>>Versions before 0.29.4(exclusive)
cpe:2.3:a:ml-explore:mlx:*:*:*:*:*:*:*:*
Weaknesses
CWE IDTypeSource
CWE-122Primarysecurity-advisories@github.com
CWE ID: CWE-122
Type: Primary
Source: security-advisories@github.com
Evaluator Description
Evaluator Impact

Evaluator Solution

Vendor Statements
References
HyperlinkSourceResource
https://github.com/ml-explore/mlx/pull/1security-advisories@github.com
Issue Tracking
Patch
https://github.com/ml-explore/mlx/pull/2security-advisories@github.com
Issue Tracking
Patch
https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6security-advisories@github.com
Exploit
Vendor Advisory
Hyperlink: https://github.com/ml-explore/mlx/pull/1
Source: security-advisories@github.com
Resource:
Issue Tracking
Patch
Hyperlink: https://github.com/ml-explore/mlx/pull/2
Source: security-advisories@github.com
Resource:
Issue Tracking
Patch
Hyperlink: https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6
Source: security-advisories@github.com
Resource:
Exploit
Vendor Advisory

Change History

0
Information is not available yet

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