CVE-2026-71504 (GCVE-0-2026-71504)
Vulnerability from cvelistv5 – Published: 2026-08-24 18:57 – Updated: 2026-08-24 19:00 X_Open Source
VLAI
EPSS
VEX
Title
Dolibarr < 24.0.0 Members REST API Improper Authorization via Password Reset
Summary
Dolibarr before 24.0.0 contains an improper authorization vulnerability in the Members REST API that allows attackers with only member-creation rights to reset the password of any user account, including the system administrator, without verifying password-change permissions. Attackers can supply an arbitrary user account identifier and new password in the request body to overwrite credentials and immediately lock out the legitimate account holder.
Severity
CWE
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://codeant.ai/security-research/cve-2026-715… | technical-descriptionexploit |
| https://github.com/Dolibarr/dolibarr/releases/tag… | release-notes |
| https://github.com/Dolibarr/dolibarr/commit/fbf47… | patch |
| https://www.vulncheck.com/advisories/dolibarr-mem… | third-party-advisory |
Impacted products
Date Public
2026-08-14 00:00
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"packageURL": "pkg:github/Dolibarr/dolibarr",
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"repo": "https://github.com/Dolibarr/dolibarr",
"vendor": "Dolibarr",
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"version": "0",
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}
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"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
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"attackVector": "NETWORK",
"baseScore": 8.6,
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"problemTypes": [
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"description": "Missing Authorization",
"lang": "en",
"type": "CWE"
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"cweId": "CWE-915",
"description": "Improperly Controlled Modification of Dynamically-Determined Object Attributes",
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"url": "https://github.com/Dolibarr/dolibarr/releases/tag/24.0.0"
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"url": "https://www.vulncheck.com/advisories/dolibarr-members-rest-api-improper-authorization-via-password-reset"
}
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"source": {
"discovery": "UNKNOWN"
},
"tags": [
"x_open-source"
],
"title": "Dolibarr \u003c 24.0.0 Members REST API Improper Authorization via Password Reset",
"x_generator": {
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}
},
"cveMetadata": {
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"cveId": "CVE-2026-71504",
"datePublished": "2026-08-24T18:57:47.028Z",
"dateReserved": "2026-08-06T20:42:17.834Z",
"dateUpdated": "2026-08-24T19:00:17.376Z",
"state": "PUBLISHED"
},
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"vulnerability-lookup:meta": {
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}
}
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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.
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.
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