pyload-ng: Authentication Bypass via Host Header Injection in ClickNLoad_CVE-2026-33511

{
    "lastseen": "",
    "description": "pyLoad is a free and open-source download manager written in Python. From version 0.4.20 to before version 0.5.0b3.dev97, the local_check decorator in pyLoad's ClickNLoad feature can be bypassed by any remote attacker through HTTP Host header spoofing. This allows unauthenticated remote users to access localhost-restricted endpoints, enabling them to inject arbitrary downloads, write files to the storage directory, and execute JavaScript code. This issue has been patched in version 0.5.0b3.dev97.",
    "published": "2026-03-24T18:56:08.886Z",
    "modified": "2026-03-25T14:28:19.605Z",
    "type": "cve",
    "title": "pyload-ng: Authentication Bypass via Host Header Injection in ClickNLoad",
    "source": "GitHub_M",
    "references": "https://github.com/pyload/pyload/security/advisories/GHSA-g5j2-gxqh-x7pw",
    "id": "CVE-2026-33511",
    "bulletinFamily": "",
    "cwe": [
        "CWE-639"
    ],
    "cvelist": null,
    "sourceData": "pyload pyload >= 0.4.20, < 0.5.0b3.dev97",
    "sourceHref": "",
    "cvss": {
        "score": 8.8,
        "severity": "HIGH",
        "vector": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:H/VA:L/SC:N/SI:L/SA:N",
        "version": "4.0"
    },
    "cvss2": [],
    "cvss3": {
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        "vectorString": "",
        "baseScore": 0,
        "baseSeverity": "",
        "attackVector": "",
        "attackComplexity": "",
        "privilegesRequired": "",
        "userInteraction": "",
        "scope": "",
        "confidentialityImpact": "",
        "integrityImpact": "",
        "availabilityImpact": "",
        "cvssV3": {
            "version": "",
            "vectorString": "",
            "baseScore": 0,
            "baseSeverity": "",
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            "privilegesRequired": "",
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        }
    },
    "href": "",
    "category_name": "CVE",
    "post_link": "",
    "product": "pyload",
    "version": ">= 0.4.20, < 0.5.0b3.dev97",
    "vendor": "pyload",
    "ai_description": "",
    "ai_severity": "",
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    "ai_score": 0
}