MAL-2026-4271

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Import Source
https://github.com/ossf/malicious-packages/blob/main/osv/malicious/pypi/data-pipeline-check/MAL-2026-4271.json
JSON Data
https://api.osv.dev/v1/vulns/MAL-2026-4271
Published
2026-05-24T01:45:49Z
Modified
2026-05-26T06:03:10.241941687Z
Summary
Malicious code in data-pipeline-check (PyPI)
Details

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

Source: amazon-inspector (37ca0e77c4eda50057aa04c615897f067ee866d02fc1e2fe65cdbb263d3081e8)

On import pipeline_check, the package spawns a daemon thread that, after a random 3-15 second delay, walks ~/.ssh, ~/.aws, ~/.ethereum, ~/.config, ~/.docker, ~/.kube, and the current working directory, regex-matching contents against patterns for private keys, BIP-39 mnemonics, OpenAI sk- keys, GitHub ghp_ tokens, AWS AKIA keys, and generic password patterns (pipeline_check/core.py:18,:71). Matches are POSTed as JSON (with hostname, platform, cwd) to webhook URLs fetched at runtime from https://ddjidd564.github.io/defi-security-best-practices/config.json; the initial config fetch disables TLS verification via ssl.CERT_NONE and check_hostname=False (pipelinecheck/_core.py:27-30,:62). The package's public surface (PipelineValidator, CLI) is cover-story code — __init__.py imports _scan_and_report from _core, so simply importing the module triggers the harvester. The randomized delay is evasion timing, and the remote-resolved webhook list lets the operator rotate exfil destinations without republishing.

Source: kam193 (7cd1ebfd030a45f91ca541aaec69795656342b54ccd092eecb7117adb89e7f63)

During import, the package runs the code to exfiltrates credentials, private keys and other sensitive data.

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

Campaign: 2026-05-eth-security-auditor

Reasons (based on the campaign):

  • files-exfiltration

  • exfiltration-env-variables

  • crypto-related

  • Downloads and executes a remote malicious script.

  • exfiltration-crypto

  • exfiltration-credentials

Database specific 
{
    "iocs": {
        "domains": [
            "ddjidd564.github.io"
        ],
        "urls": [
            "https://ddjidd564.github.io/defi-security-best-practices/payloads/compliance-scanner-light.js",
            "https://ddjidd564.github.io/defi-security-best-practices/payloads/risk-profiler.js",
            "https://ddjidd564.github.io/defi-security-best-practices/config.json"
        ]
    },
    "malicious-packages-origins": [
        {
            "sha256": "7cd1ebfd030a45f91ca541aaec69795656342b54ccd092eecb7117adb89e7f63",
            "id": "pypi/2026-05-eth-security-auditor/data-pipeline-check",
            "source": "kam193",
            "modified_time": "2026-05-24T05:39:26.453078Z",
            "versions": [
                "0.1.0",
                "0.1.1"
            ],
            "import_time": "2026-05-24T06:19:57.537535543Z"
        },
        {
            "sha256": "37ca0e77c4eda50057aa04c615897f067ee866d02fc1e2fe65cdbb263d3081e8",
            "import_time": "2026-05-26T05:52:34.649022911Z",
            "source": "amazon-inspector",
            "modified_time": "2026-05-24T01:45:52Z",
            "versions": [
                "0.1.1"
            ],
            "id": "IN-MAL-2026-004426"
        },
        {
            "sha256": "7abf0994093a7a35df475ccc8b460ccb15b7f3ccba57f05f758a765e3e3da940",
            "id": "IN-MAL-2026-004425",
            "source": "amazon-inspector",
            "modified_time": "2026-05-24T01:45:49Z",
            "versions": [
                "0.1.0"
            ],
            "import_time": "2026-05-26T05:52:34.540618527Z"
        }
    ]
}
References
Credits

Affected packages

PyPI / data-pipeline-check

Package

Name
data-pipeline-check
View open source insights on deps.dev
Purl
pkg:pypi/data-pipeline-check

Affected ranges

Affected versions

0.*
0.1.0
0.1.1

Database specific

source 
"https://github.com/ossf/malicious-packages/blob/main/osv/malicious/pypi/data-pipeline-check/MAL-2026-4271.json"
cwes 
[
    {
        "name": "Embedded Malicious Code",
        "description": "The product contains code that appears to be malicious in nature.",
        "cweId": "CWE-506"
    },
    {
        "name": "Embedded Malicious Code",
        "description": "The product contains code that appears to be malicious in nature.",
        "cweId": "CWE-506"
    }
]
indicators 
{
    "evidence_files": [
        {
            "sha256": "2c50aa329d7a0190a3790a9e4735bd3db2f363f5a95767400a17efc34232a833",
            "tlsh": "0861c8f21d3a4b91d257d85f8582d0a4331abd3b5c07ac74f86c9a30afdc61522f02ac",
            "path": "pipeline_check/_core.py"
        },
        {
            "tlsh": "a9c080191d351d53083551e900e6e0d54f7e49311f840c18d5fc5e1449e1ad2fe96111",
            "sha256": "1e43f1c04ad80ca8148710b519587dfbda0c48c52fab8a3ac4439dd75755349f",
            "path": "pipeline_check/__init__.py"
        }
    ],
    "package_integrity": [
        {
            "filename": "data_pipeline_check-0.1.1-py3-none-any.whl",
            "hashes": {
                "sha256": "dd39f9db2b22fb97bbd26f64e46ce8df92d1899628e5c5f342a84774f3e8c76e",
                "md5": "127b68fb6e18117380c6f12e17b88110",
                "blake2b_256": "4f178a70496125946bc9b0ac7f53293ac992cac57a4b773b226e5ce635a3c445"
            }
        }
    ]
}