PYSEC-2026-1744
Vulnerability from pysec - Published: 2026-07-07 14:34 - Updated: 2026-07-23 09:44
VLAI
Details
An Insecure Direct Object Reference (IDOR) vulnerability exists in open-webui/open-webui version v0.3.8. The vulnerability occurs in the API endpoint http://0.0.0.0:3000/api/v1/memories/{id}/update, where the decentralization design is flawed, allowing attackers to edit other users' memories without proper authorization.
Severity
Impacted products
| Name | purl | open-webui | pkg:pypi/open-webui |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "open-webui",
"purl": "pkg:pypi/open-webui"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.6.3"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.1.124",
"0.1.125",
"0.2.0",
"0.2.1",
"0.2.2",
"0.2.3",
"0.2.4",
"0.2.5",
"0.3.0",
"0.3.1",
"0.3.10",
"0.3.12",
"0.3.13",
"0.3.14",
"0.3.15",
"0.3.16",
"0.3.17",
"0.3.17.dev2",
"0.3.17.dev3",
"0.3.17.dev4",
"0.3.17.dev5",
"0.3.18",
"0.3.19",
"0.3.2",
"0.3.20",
"0.3.21",
"0.3.22",
"0.3.23",
"0.3.24",
"0.3.25",
"0.3.26",
"0.3.27",
"0.3.27.dev1",
"0.3.27.dev2",
"0.3.27.dev3",
"0.3.28",
"0.3.29",
"0.3.3",
"0.3.30",
"0.3.30.dev1",
"0.3.30.dev2",
"0.3.31",
"0.3.31.dev1",
"0.3.32",
"0.3.33",
"0.3.33.dev1",
"0.3.34",
"0.3.35",
"0.3.4",
"0.3.5",
"0.3.6",
"0.3.7",
"0.3.8",
"0.3.9",
"0.4.0",
"0.4.0.dev1",
"0.4.0.dev2",
"0.4.1",
"0.4.2",
"0.4.3",
"0.4.4",
"0.4.5",
"0.4.6",
"0.4.6.dev1",
"0.4.7",
"0.4.8",
"0.5.0",
"0.5.0.dev1",
"0.5.0.dev2",
"0.5.1",
"0.5.10",
"0.5.11",
"0.5.12",
"0.5.13",
"0.5.14",
"0.5.15",
"0.5.16",
"0.5.17",
"0.5.18",
"0.5.19",
"0.5.2",
"0.5.20",
"0.5.3",
"0.5.3.dev1",
"0.5.4",
"0.5.5",
"0.5.6",
"0.5.7",
"0.5.8",
"0.5.9",
"0.6.0",
"0.6.1",
"0.6.2"
]
}
],
"aliases": [
"CVE-2024-7041",
"GHSA-xcvc-5hgv-phqg"
],
"details": "An Insecure Direct Object Reference (IDOR) vulnerability exists in open-webui/open-webui version v0.3.8. The vulnerability occurs in the API endpoint `http://0.0.0.0:3000/api/v1/memories/{id}/update`, where the decentralization design is flawed, allowing attackers to edit other users\u0027 memories without proper authorization.",
"id": "PYSEC-2026-1744",
"modified": "2026-07-23T09:44:33.281479Z",
"published": "2026-07-07T14:34:42.852864Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-7041"
},
{
"type": "PACKAGE",
"url": "https://github.com/open-webui/open-webui"
},
{
"type": "WEB",
"url": "https://github.com/open-webui/open-webui/blob/main/backend/apps/webui/routers/memories.py#L71"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/6855227f-1237-47b8-8d37-29aad7ddec3a"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/open-webui"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-xcvc-5hgv-phqg"
}
],
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N/E:P",
"type": "CVSS_V4"
}
],
"summary": "open-webui Insecure Direct Object Reference (IDOR) vulnerability"
}
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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.
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