FKIE_CVE-2026-33314
Vulnerability from fkie_nvd - Published: 2026-03-24 20:16 - Updated: 2026-06-17 10:37
Severity
Summary
pyLoad is a free and open-source download manager written in Python. Prior to version 0.5.0b3.dev97, a Host Header Spoofing vulnerability in the @local_check decorator allows unauthenticated external attackers to bypass local-only restrictions. This grants access to the Click'N'Load API endpoints, enabling attackers to remotely queue arbitrary downloads, leading to Server-Side Request Forgery (SSRF) and Denial of Service (DoS). This issue has been patched in version 0.5.0b3.dev97.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/pyload/pyload/security/advisories/GHSA-q485-cg9q-xq2r | Exploit, Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| pyload-ng_project | pyload-ng | * |
{
"affected": [
{
"affectedData": [
{
"product": "pyload",
"vendor": "pyload",
"versions": [
{
"status": "affected",
"version": "\u003c 0.5.0b3.dev97"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:pyload-ng_project:pyload-ng:*:*:*:*:*:python:*:*",
"matchCriteriaId": "49DB5560-08BC-47E1-ADC3-729D9746159F",
"versionEndExcluding": "0.5.0b3.dev97",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "pyLoad is a free and open-source download manager written in Python. Prior to version 0.5.0b3.dev97, a Host Header Spoofing vulnerability in the @local_check decorator allows unauthenticated external attackers to bypass local-only restrictions. This grants access to the Click\u0027N\u0027Load API endpoints, enabling attackers to remotely queue arbitrary downloads, leading to Server-Side Request Forgery (SSRF) and Denial of Service (DoS). This issue has been patched in version 0.5.0b3.dev97."
},
{
"lang": "es",
"value": "pyLoad es un gestor de descargas de c\u00f3digo abierto y gratuito escrito en Python. Antes de la versi\u00f3n 0.5.0b3.dev97, una vulnerabilidad de suplantaci\u00f3n de encabezado de host en el decorador @local_check permite a atacantes externos no autenticados eludir las restricciones de solo acceso local. Esto otorga acceso a los puntos finales de la API de Click\u0027N\u0027Load, lo que permite a los atacantes poner en cola descargas arbitrarias de forma remota, lo que lleva a la falsificaci\u00f3n de petici\u00f3n del lado del servidor (SSRF) y a la denegaci\u00f3n de servicio (DoS). Este problema ha sido parcheado en la versi\u00f3n 0.5.0b3.dev97."
}
],
"id": "CVE-2026-33314",
"lastModified": "2026-06-17T10:37:18.447",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 2.5,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-33314",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-26T19:33:35.949774Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-03-24T20:16:27.690",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/pyload/pyload/security/advisories/GHSA-q485-cg9q-xq2r"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-287"
},
{
"lang": "en",
"value": "CWE-346"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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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.
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.
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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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