CVE Explorer
CVE-2025-62608
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.
Known exploited
Not asserted
Disputed
No
Stale source
No
Conflicts
0
Affected products and versions
1 source assertion{"product":"mlx","vendor":"ml-explore","versions":[{"status":"affected","version":"< 0.29.4"}]}
- cve_program_cvelist_v5affectedurn:baitaphish:normalized-source-record:v2:3dcb28d276be7961279108ed6eaecd0cacd342240b3f30c12a5e2e7dec349e37 · sha256:702dcb7619b83ac5… · /containers/cna/affected/0
Provider-owned CVSS observations
1 source assertion{"metric":{"attackComplexity":"LOW","attackRequirements":"NONE","attackVector":"NETWORK","baseScore":5.5,"baseSeverity":"MEDIUM","privilegesRequired":"NONE","subAvailabilityImpact":"NONE","subConfidentialityImpact":"NONE","subIntegrityImpact":"NONE","userInteraction":"NONE","vectorString":"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","vulnAvailabilityImpact":"LOW","vulnConfidentialityImpact":"LOW","vulnIntegrityImpact":"NONE"},"metric_type":"cvssV4_0"}
- cve_program_cvelist_v5cvssurn:baitaphish:normalized-source-record:v2:3dcb28d276be7961279108ed6eaecd0cacd342240b3f30c12a5e2e7dec349e37 · sha256:702dcb7619b83ac5… · /containers/cna/metrics/0/cvssV4_0
CWE assertions
1 source assertion{"cweId":"CWE-122","description":"CWE-122: Heap-based Buffer Overflow","lang":"en","type":"CWE"}
- cve_program_cvelist_v5cweurn:baitaphish:normalized-source-record:v2:3dcb28d276be7961279108ed6eaecd0cacd342240b3f30c12a5e2e7dec349e37 · sha256:702dcb7619b83ac5… · /containers/cna/problemTypes/0/descriptions/0
Source references
3 source assertions{"name":"https://github.com/ml-explore/mlx/pull/1","tags":["x_refsource_MISC"],"url":"https://github.com/ml-explore/mlx/pull/1"}
- cve_program_cvelist_v5referenceurn:baitaphish:normalized-source-record:v2:3dcb28d276be7961279108ed6eaecd0cacd342240b3f30c12a5e2e7dec349e37 · sha256:702dcb7619b83ac5… · /containers/cna/references/1
{"name":"https://github.com/ml-explore/mlx/pull/2","tags":["x_refsource_MISC"],"url":"https://github.com/ml-explore/mlx/pull/2"}
- cve_program_cvelist_v5referenceurn:baitaphish:normalized-source-record:v2:3dcb28d276be7961279108ed6eaecd0cacd342240b3f30c12a5e2e7dec349e37 · sha256:702dcb7619b83ac5… · /containers/cna/references/2
{"name":"https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6","tags":["x_refsource_CONFIRM"],"url":"https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6"}
- cve_program_cvelist_v5referenceurn:baitaphish:normalized-source-record:v2:3dcb28d276be7961279108ed6eaecd0cacd342240b3f30c12a5e2e7dec349e37 · sha256:702dcb7619b83ac5… · /containers/cna/references/0
Attribution and limitations
- CVE Program CVEList V5: Reproduce the MITRE copyright designation and CVE license in copies. Source →
Provider severity values are preserved separately. Baitaphish does not convert them into a risk rating, infer affected products, or treat EPSS as observed exploitation.