{
  "affected": [
    {
      "database_specific": {
        "cwes": [
          {
            "cweId": "CWE-506",
            "description": "The product contains code that appears to be malicious in nature.",
            "name": "Embedded Malicious Code"
          },
          {
            "cweId": "CWE-506",
            "description": "The product contains code that appears to be malicious in nature.",
            "name": "Embedded Malicious Code"
          }
        ],
        "indicators": {
          "evidence_files": [
            {
              "path": "voxel_tts/harness.py",
              "sha256": "2b3194f9bc979acbb8ff8c46243921727e112381611067feccfeb2e69f5dfc53",
              "tlsh": "59d171f6ca161a62c397ca164a57b583630aac53974e04347cfc83183f95674c2f1efa"
            }
          ],
          "package_integrity": [
            {
              "filename": "voxel_tts-0.5.0-py3-none-any.whl",
              "hashes": {
                "blake2b_256": "585acec603109e61864a2debeb9141919d0ef679d11af14fd8cc4ff5281fd45d",
                "md5": "cfde97d0e997b7815f849eeadd0d6e83",
                "sha256": "84e93a0ac30511ea48e94cfc1bba4cf49339c60dfabf4760e34604629c32e65b"
              }
            }
          ]
        }
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "voxel-tts"
      },
      "versions": [
        "0.5.0",
        "0.5.1"
      ]
    }
  ],
  "credits": [
    {
      "contact": [
        "inspector-research@amazon.com"
      ],
      "name": "Amazon Inspector",
      "type": "FINDER"
    },
    {
      "contact": [
        "https://github.com/kam193",
        "https://bad-packages.kam193.eu/"
      ],
      "name": "Kamil Ma\u0144kowski (kam193)",
      "type": "REPORTER"
    },
    {
      "contact": [
        "https://github.com/kam193",
        "https://bad-packages.kam193.eu/"
      ],
      "name": "Kamil Ma\u0144kowski (kam193)",
      "type": "ANALYST"
    }
  ],
  "database_specific": {
    "malicious-packages-origins": [
      {
        "id": "pypi/2026-10-voxeval/voxel-tts",
        "import_time": "2026-10-03T04:46:19.650415945Z",
        "modified_time": "2026-10-03T04:38:14.625954Z",
        "sha256": "59ef2094ba4f759a0f896ff0af35b1fd19442db3cf8212a39fde46d5713c807d",
        "source": "kam193",
        "versions": [
          "0.5.0",
          "0.5.1"
        ]
      },
      {
        "id": "pypi/2026-10-voxeval/voxel-tts",
        "import_time": "2026-10-03T05:18:10.337930449Z",
        "modified_time": "2026-10-03T04:38:14.625954Z",
        "sha256": "d20f098625fe215d12359a89c03cd967a584ccc37a111c8127ce4889166af61e",
        "source": "kam193",
        "versions": [
          "0.5.0",
          "0.5.1"
        ]
      },
      {
        "id": "IN-MAL-2026-020925",
        "import_time": "2026-10-04T23:40:42.599068067Z",
        "modified_time": "2026-10-04T23:20:41Z",
        "sha256": "31bcd85c4464339b45ec445d1c402ecbc97ab4b50b71738d1fc3873c88f9cff5",
        "source": "amazon-inspector",
        "versions": [
          "0.5.0"
        ]
      },
      {
        "id": "IN-MAL-2026-020927",
        "import_time": "2026-10-04T23:40:42.825025391Z",
        "modified_time": "2026-10-04T23:20:59Z",
        "sha256": "598f8abf106d4dbdbbe4ce3aa3eca8d89b36b3a0d77d17f266849e46176e4913",
        "source": "amazon-inspector",
        "versions": [
          "0.5.1"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: amazon-inspector (31bcd85c4464339b45ec445d1c402ecbc97ab4b50b71738d1fc3873c88f9cff5)\nThe package advertises text-to-speech inference but contains no model, audio, or inference code. Importing voxel_tts loads voxel_tts/harness.py, which instantiates a module-level Harness(); on run() it chmods and executes a bundled ~8MB ELF at voxel_tts/bin/voxel-core. The ELF is invoked with a JSON configuration matching the XMRig-family CPU mining schema (pools/user/pass/keepalive/tls, cpu.threads, cpu.mem-locked, cache-budget), and the pool-protocol key \u0027pools\u0027 is split across string concatenation to evade static scanners. The pool destination is reconstructed at runtime by base64-decoding two fragments (\u0027MTg1LjE5NA==\u0027, \u0027MTc3LjI0OQ==\u0027) and joining them with \u0027.\u0027, yielding 185.194.177.249:443. A 40MB cloudflared binary is also bundled at voxel_tts/bin/cloudflared and launched as \u0027cloudflared access tcp --hostname \u003chost\u003e --url 127.0.0.1:\u003cport\u003e\u0027 so that outbound mining traffic egresses through Cloudflare Access to an author-controlled hostname, hiding the real pool IP from host network logs; in-code comments acknowledge this is to avoid \u0027direct egress to the coordinator\u0027s own address\u0027. In parallel, a _Progress helper emits synthetic \u0027model | step N/250000 loss=... tok/s=... lr=6e-5 ep=...\u0027 lines once per minute as a cover story to make the workload appear to be ML training. Net effect: installing and using this package runs a cryptominer on the installer\u0027s CPU, monetizing their compute for the author, while actively evading detection via destination obfuscation, tunneled egress, and a fabricated training-progress UI.\n\n## Source: kam193 (59ef2094ba4f759a0f896ff0af35b1fd19442db3cf8212a39fde46d5713c807d)\nThe package imitates real activity and instead deploys a coin miner.\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2026-10-voxeval\n\n\nReasons (based on the campaign):\n\n\n - cryptominer\n",
  "id": "MAL-2026-17461",
  "modified": "2026-10-04T23:42:41.654999682Z",
  "published": "2026-10-03T04:38:14Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/voxel-tts"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/voxel-tts/0.5.0/"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/voxel-tts/0.5.1/"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in voxel-tts (PyPI)"
}