Vulnerability-Lookup

MAL-2026-15811

Vulnerability from ossf_malicious_packages

Published

2026-09-01 21:27

Modified

2026-09-02 02:46

Summary

Malicious code in syswatch (PyPI)

Details

-= Per source details. Do not edit below this line.=-

Source: amazon-inspector (740c9125f18d68081f742b3316d07c54727fb4aab5555a398c0c04e31ba9bb54)

Importing syswatch starts a background thread that, on Windows, fetches a JSON manifest from https://github-repo.up.railway.app/vbv_a8F3kL92xQ/manifest.json, downloads the executable referenced by manifest.update_url to a temp path, and runs it silently with NSIS-style flags (/S /NCRC). The endpoint URL is stored as base64 fragments concatenated at runtime (_FRAGMENTS + _decode in _monitor.py), and TLS verification is explicitly disabled for both manifest and payload fetches (check_hostname=False, verify_mode=CERT_NONE). After execution the code launches a ServiceHelperUtility.exe helper and calls wevtutil cl Application and wevtutil cl System from _cleanup() to erase Windows event logs. The host github-repo.up.railway.app is a Railway-hosted lookalike of GitHub, not a GitHub-owned domain. The package advertises itself as a system-monitoring library; none of the fetch, execute, or event-log clearing behavior is disclosed.

Source: kam193 (e01fd8b85a9d6bdfbefb70261f49496f8a6c224d98da6400ef0ca06f18404d27)

During import, malicious code is started in the background. On Windows, it downloads and installs a malicious executable, and disguises it as a system utility. After installation, the code attempts to cover its tracks by cleaning logs and removing downloaded files. The installed executable is a heavily obfuscated malware with multiple sandbox evasion techniques, finally running an infostealer identifying itself as "Snow Stealer". It collects at least browser data and modifies cryptowallet applications.

Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers.

Campaign: 2026-08-envprovision

Reasons (based on the campaign):

infostealer
Downloads and executes a remote executable.
obfuscation
action-hidden-in-lib-usage
exfiltration-browser-data
The package contains code to detect if it is running in a sandbox environment.
exfiltration-crypto
malware
covering-tracks
persistence

CWE

CWE-506 - The product contains code that appears to be malicious in nature.

Credits

Amazon Inspector inspector-research@amazon.com

Kamil Mańkowski (kam193) github.com/kam193 bad-packages.kam193.eu/

JSON

To clipboard

{
  "affected": [
    {
      "database_specific": {
        "cwes": [
          {
            "cweId": "CWE-506",
            "description": "The product contains code that appears to be malicious in nature.",
            "name": "Embedded Malicious Code"
          }
        ],
        "indicators": {
          "evidence_files": [
            {
              "path": "src/syswatch/__init__.py",
              "sha256": "41c014b825f35800e609f6ca971c149ce73ddfc96ab5ba813268c63b199dcd68",
              "tlsh": "20014c73bc47547b04f8b86d205892b0e73b15173e118919b968f7386f3545065a623e"
            },
            {
              "path": "src/syswatch/_monitor.py",
              "sha256": "6c974b8f00d0606e4e0a2d1c9caea1ec2703196169c1cdb8ee514ce948075e0b",
              "tlsh": "f16112ba4c8fe0528172920d5c198416d32782571faa0415bcec47275ff9e36acfc9be"
            },
            {
              "path": "src/syswatch/_process.py",
              "sha256": "d2a869a9f845973a1ce17772522cb076ee1a5000f20be996ba3026db4131c9da",
              "tlsh": "34210661ed1f50019ab2806f65269492dadb0b43d786487778fdca707f3a071d1a1d2f"
            }
          ],
          "package_integrity": [
            {
              "filename": "syswatch-1.0.0-py3-none-any.whl",
              "hashes": {
                "blake2b_256": "9943467f81a8ac9db54e16e5e19d9a7c58f9d9b90b8cf0b32511dfd7ed854f73",
                "md5": "8409f7478e1f7026425de1702363694a",
                "sha256": "003525e4be1a7dc9bb18be3fa7e58323ab713ac698e154e48810208aa9293652"
              }
            },
            {
              "filename": "syswatch-1.0.0.tar.gz",
              "hashes": {
                "blake2b_256": "f76b0bf6a6de42bc0ffbf017812943766c19e86390644da2fbae82dc60a950e7",
                "md5": "8d4ad1127a7b0222d254d8c1f5eda866",
                "sha256": "2cbc5bf99eb4ed68ef6897081bf7be95307acdbc10c9d669fcfaa9c41b3591af"
              }
            }
          ]
        }
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "syswatch"
      },
      "versions": [
        "1.0.0"
      ]
    }
  ],
  "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": {
    "iocs": {
      "domains": [
        "env-metadata.up.railway.app",
        "ivahook.online"
      ],
      "urls": [
        "https://env-metadata.up.railway.app/vbv_a8F3kL92xQ/manifest.json",
        "https://env-metadata.up.railway.app/vbv_a8F3kL92xQ/appsetupw.exe",
        "https://energy-total.up.railway.app/vbv_a8F3kL92xQ/manifest.json"
      ]
    },
    "malicious-packages-origins": [
      {
        "id": "pypi/2026-08-envprovision/syswatch",
        "import_time": "2026-09-01T21:38:05.941832763Z",
        "modified_time": "2026-09-01T21:27:36.579439Z",
        "sha256": "863ff540be3399380239a471217fc84175f06c66bedc0fc0f89901fbaae46a38",
        "source": "kam193",
        "versions": [
          "1.0.0"
        ]
      },
      {
        "id": "pypi/2026-08-envprovision/syswatch",
        "import_time": "2026-09-01T22:15:54.378683915Z",
        "modified_time": "2026-09-01T21:27:36.579439Z",
        "sha256": "e01fd8b85a9d6bdfbefb70261f49496f8a6c224d98da6400ef0ca06f18404d27",
        "source": "kam193",
        "versions": [
          "1.0.0"
        ]
      },
      {
        "id": "IN-MAL-2026-019321",
        "import_time": "2026-09-02T02:44:33.373128806Z",
        "modified_time": "2026-09-02T02:19:16Z",
        "sha256": "740c9125f18d68081f742b3316d07c54727fb4aab5555a398c0c04e31ba9bb54",
        "source": "amazon-inspector",
        "versions": [
          "1.0.0"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: amazon-inspector (740c9125f18d68081f742b3316d07c54727fb4aab5555a398c0c04e31ba9bb54)\nImporting syswatch starts a background thread that, on Windows, fetches a JSON manifest from https://github-repo.up.railway.app/vbv_a8F3kL92xQ/manifest.json, downloads the executable referenced by manifest.update_url to a temp path, and runs it silently with NSIS-style flags (/S /NCRC). The endpoint URL is stored as base64 fragments concatenated at runtime (_FRAGMENTS + _decode in _monitor.py), and TLS verification is explicitly disabled for both manifest and payload fetches (check_hostname=False, verify_mode=CERT_NONE). After execution the code launches a ServiceHelperUtility.exe helper and calls `wevtutil cl Application` and `wevtutil cl System` from _cleanup() to erase Windows event logs. The host github-repo.up.railway.app is a Railway-hosted lookalike of GitHub, not a GitHub-owned domain. The package advertises itself as a system-monitoring library; none of the fetch, execute, or event-log clearing behavior is disclosed.\n\n## Source: kam193 (e01fd8b85a9d6bdfbefb70261f49496f8a6c224d98da6400ef0ca06f18404d27)\nDuring import, malicious code is started in the background. On Windows, it downloads and installs a malicious executable, and disguises it as a system utility. After installation, the code attempts to cover its tracks by cleaning logs and removing downloaded files. The installed executable is a heavily obfuscated malware with multiple sandbox evasion techniques, finally running an infostealer identifying itself as \"Snow Stealer\". It collects at least browser data and modifies cryptowallet applications.\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2026-08-envprovision\n\n\nReasons (based on the campaign):\n\n\n - infostealer\n\n\n - Downloads and executes a remote executable.\n\n\n - obfuscation\n\n\n - action-hidden-in-lib-usage\n\n\n - exfiltration-browser-data\n\n\n - The package contains code to detect if it is running in a sandbox environment.\n\n\n - exfiltration-crypto\n\n\n - malware\n\n\n - covering-tracks\n\n\n - persistence\n",
  "id": "MAL-2026-15811",
  "modified": "2026-09-02T02:46:18.215867515Z",
  "published": "2026-09-01T21:27:36Z",
  "references": [
    {
      "type": "EVIDENCE",
      "url": "https://www.virustotal.com/gui/file/d49fa53949d9350ee34c4e1279ee72e6fafc294ae338825f66c33c7f188b878c/details"
    },
    {
      "type": "WEB",
      "url": "https://www.virustotal.com/gui/file-analysis/MGQ3ZGViMWFhYzU0YjY3ODllZWI1ZGJkMDY4Nzk3NGM6MTc4NzUxODgyOQ=="
    },
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/syswatch"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/syswatch/1.0.0/"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in syswatch (PyPI)"
}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

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