CVE-2026-48484 (GCVE-0-2026-48484)
Vulnerability from cvelistv5 – Published: 2026-10-09 16:26 – Updated: 2026-10-09 16:26
VLAI
EPSS
VEX
Title
pyLoad: Lack of Input Size Validation Leads to Denial of Service (DoS) and Process Termination
Summary
pyLoad is a free and open-source download manager written in Python. Prior to 0.5.0b3.dev101, the API `rpc` function in `api_blueprint.py` handles `multipart/form-data` uploads by reading the whole content of the uploaded file into memory with `file.read()`. This occurs before the data is sent to the underlying function. Since there is no size limit set at this point, a large file upload can exhaust the server's available memory which led to process termination. Version 0.5.0b3.dev101 contains a patch.
Severity
6.5 (Medium)
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/pyload/pyload/security/advisor… | x_refsource_CONFIRM |
| https://github.com/pyload/pyload/commit/461cd66f3… | x_refsource_MISC |
| https://github.com/pyload/pyload/blob/8e447958b8a… | x_refsource_MISC |
{
"containers": {
"cna": {
"affected": [
{
"product": "pyload",
"vendor": "pyload",
"versions": [
{
"status": "affected",
"version": "\u003c 0.5.0b3.dev101"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "pyLoad is a free and open-source download manager written in Python. Prior to 0.5.0b3.dev101, the API `rpc` function in `api_blueprint.py` handles `multipart/form-data` uploads by reading the whole content of the uploaded file into memory with `file.read()`. This occurs before the data is sent to the underlying function. Since there is no size limit set at this point, a large file upload can exhaust the server\u0027s available memory which led to process termination. Version 0.5.0b3.dev101 contains a patch."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-20",
"description": "CWE-20: Improper Input Validation",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-400",
"description": "CWE-400: Uncontrolled Resource Consumption",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-10-09T16:26:37.728Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/pyload/pyload/security/advisories/GHSA-vq8p-m3wm-gv5f",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/pyload/pyload/security/advisories/GHSA-vq8p-m3wm-gv5f"
},
{
"name": "https://github.com/pyload/pyload/commit/461cd66f30fa9e96453fb4d8c5c47467e452363c",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/pyload/pyload/commit/461cd66f30fa9e96453fb4d8c5c47467e452363c"
},
{
"name": "https://github.com/pyload/pyload/blob/8e447958b8a66c5899775e725a8b90bce6643004/src/pyload/webui/app/blueprints/api_blueprint.py#L73",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/pyload/pyload/blob/8e447958b8a66c5899775e725a8b90bce6643004/src/pyload/webui/app/blueprints/api_blueprint.py#L73"
}
],
"source": {
"advisory": "GHSA-vq8p-m3wm-gv5f",
"discovery": "UNKNOWN"
},
"title": "pyLoad: Lack of Input Size Validation Leads to Denial of Service (DoS) and Process Termination"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-48484",
"datePublished": "2026-10-09T16:26:37.728Z",
"dateReserved": "2026-05-21T15:33:08.291Z",
"dateUpdated": "2026-10-09T16:26:37.728Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "pyload",
"vendor": "pyload",
"versions": [
{
"status": "affected",
"version": "\u003c 0.5.0b3.dev101"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "pyLoad is a free and open-source download manager written in Python. Prior to 0.5.0b3.dev101, the API `rpc` function in `api_blueprint.py` handles `multipart/form-data` uploads by reading the whole content of the uploaded file into memory with `file.read()`. This occurs before the data is sent to the underlying function. Since there is no size limit set at this point, a large file upload can exhaust the server\u0027s available memory which led to process termination. Version 0.5.0b3.dev101 contains a patch."
}
],
"id": "CVE-2026-48484",
"lastModified": "2026-10-09T17:16:47.663",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2026-10-09T17:16:47.487",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/pyload/pyload/blob/8e447958b8a66c5899775e725a8b90bce6643004/src/pyload/webui/app/blueprints/api_blueprint.py#L73"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/pyload/pyload/commit/461cd66f30fa9e96453fb4d8c5c47467e452363c"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/pyload/pyload/security/advisories/GHSA-vq8p-m3wm-gv5f"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
},
{
"lang": "en",
"value": "CWE-400"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
}
}
}
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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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