FKIE_CVE-2026-41133
Vulnerability from fkie_nvd - Published: 2026-04-22 00:16 - Updated: 2026-06-17 10:46
Severity
Summary
pyLoad is a free and open-source download manager written in Python. Versions up to and including 0.5.0b3.dev97 cache `role` and `permission` in the session at login and continues to authorize requests using these cached values, even after an admin changes the user's role/permissions in the database. As a result, an already logged-in user can keep old (revoked) privileges until logout/session expiry, enabling continued privileged actions. This is a core authorization/session-consistency issue and is not resolved by toggling an optional security feature. Commit e95804fb0d06cbb07d2ba380fc494d9ff89b68c1 contains a fix for the issue.
References
{
"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:pyload:*:*:*:*:*:*:*:*",
"matchCriteriaId": "631877F0-7E83-469E-BC2B-244AB14E0274",
"versionEndExcluding": "2026-04-13",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "pyLoad is a free and open-source download manager written in Python. Versions up to and including 0.5.0b3.dev97 cache `role` and `permission` in the session at login and continues to authorize requests using these cached values, even after an admin changes the user\u0027s role/permissions in the database. As a result, an already logged-in user can keep old (revoked) privileges until logout/session expiry, enabling continued privileged actions. This is a core authorization/session-consistency issue and is not resolved by toggling an optional security feature. Commit e95804fb0d06cbb07d2ba380fc494d9ff89b68c1 contains a fix for the issue."
}
],
"id": "CVE-2026-41133",
"lastModified": "2026-06-17T10:46:12.737",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-41133",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-22T18:31:55.905771Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-04-22T00:16:29.153",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/pyload/pyload/commit/e95804fb0d06cbb07d2ba380fc494d9ff89b68c1"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/pyload/pyload/security/advisories/GHSA-66hx-chf7-3332"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/pyload/pyload/security/advisories/GHSA-66hx-chf7-3332"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-613"
}
],
"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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