Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessAuthenticate with user-read API credentials
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DeliverySend crafted filter parameter to users REST API endpoint
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ExploitUnsanitized input injected into SQL WHERE clause
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ExecutionBinary search numeric fields to recover salary data
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PersistLIKE prefix iteration reconstructs password verifier strings
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ImpactRaw error messages enumerate internal column names
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V8 - Authorization Authorization logic validation
MITRE ATT&CK
1 technique across 1 tactic: Privilege Escalation The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | The attacker must hold a valid Dolibarr account with user-read API rights (PR:L); unauthenticated exploitation is not possible. The Dolibarr REST API module must be enabled - this is an optional module but commonly activated in integrated deployments - and the users endpoint must be reachable over the network. No other non-default configuration is required; the vulnerable filter-parameter handling is in the standard users API code path. Limiting factors: authentication is required, eliminating anonymous internet exploitation in default deployments; user-read rights must have been explicitly granted. However, user-read is a common baseline role for staff accounts and third-party integrations, so the realistic exploitable population in active Dolibarr deployments is substantial. The attack causes no writes and no service disruption, making it stealthy and likely to evade integrity-focused detection controls. |
| Impact | The CVSS 4.0 score of 7.1 with VC:H accurately reflects the high-value data exposed: password verifiers and salary figures are among the most operationally damaging payloads an ERP system can leak. The low privilege bar (PR:L - any user-read account suffices), combined with low attack complexity (AC:L, AT:N) and a publicly available exploit writeup, makes this a genuine, elevated-priority finding rather than a high-score paper vulnerability. EPSS data was not included in the provided intelligence; exploitation probability cannot be quantified without querying the FIRST EPSS API directly - this gap should be resolved before making triage decisions solely on the CVSS score. No CISA KEV listing was present, suggesting active exploitation has not yet been confirmed at scale, but the public POC substantially lowers the skill threshold for abuse. The combination of insider threat risk (low-privilege insider accounts are common) and third-party integration credentials makes this especially relevant for organizations with large or externally connected Dolibarr deployments. Overall, the absence of KEV status does not substantially reduce urgency given the public exploit and the sensitivity of the extractable data. |
| Exploit ScenarioDerived | An attacker holding a low-privilege Dolibarr account with user-read API rights - obtained via credential stuffing, insider access, or a compromised service integration token - sends crafted requests to the users REST API with malicious filter parameters. By injecting SQL into the WHERE clause, the attacker iterates character-by-character using LIKE prefix queries to reconstruct password verifier strings and uses binary search conditions (e.g., salary > X) to recover salary values, while raw database error responses reveal internal column names that accelerate the extraction. The full technique is publicly documented at https://codeant.ai/security-research/cve-2026-71510-blind-column-extraction-via-sqlfilters, substantially lowering the skill bar. |
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Alert meAnalysisAIv1 – Aug 24, 2026
SQL injection in Dolibarr's users REST API (all versions before 24.0.0) allows authenticated users holding only user-read rights to exfiltrate sensitive database columns - including salary figures and password verifier hashes - that the API is explicitly designed to withhold from normal responses. The injection path targets unsanitized filter parameters concatenated directly into SQL WHERE clauses with no column-level access gating, enabling blind binary search on numeric fields and LIKE prefix iteration on string fields; raw database error messages in the same endpoint additionally leak internal column names. A publicly available exploit writeup documents the full technique (codeant.ai, VulnCheck); no CISA KEV listing is recorded at time of analysis.
RemediationAI
Upgrade to Dolibarr 24.0.0 or later, available at https://github.com/Dolibarr/dolibarr/releases/tag/24.0.0; the specific fix is commit https://github.com/Dolibarr/dolibarr/commit/12687f83705c2a1e46aaf6f8d1ac7347bee4710c, which should be inspected to confirm parameterized queries or equivalent sanitization were applied to the filter parameter in the users REST API. If immediate upgrade is not feasible, disabling the REST API module eliminates the attack surface entirely but breaks any API-dependent integrations - assess that trade-off per environment. Alternatively, restricting network access to the API endpoint to trusted internal hosts via firewall or reverse-proxy ACLs reduces internet-facing exposure but does not protect against insider misuse. Auditing existing user-read grants and revoking them from accounts that do not operationally require API access shrinks the exploitable population. Review database and application logs for unusual WHERE clause patterns or high-frequency API filter calls as indicators of prior exploitation.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
Dolibarr is an open-source ERP and CRM platform widely used by SMBs, particularly in Europe. The vulnerability resides in the users REST API endpoint, where caller-controlled filter parameters are spliced directly into SQL WHERE clauses without parameterization, escaping, or column-level restriction. CWE-863 (Incorrect Authorization) captures the dual failure: CWE-89 SQL Injection is the mechanism, but the security consequence is an authorization bypass - a user-read-only credential reaches salary columns and password verifier hashes that the API's normal field projection deliberately omits. The CVSS 4.0 vendor-provided vector AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N confirms a network-accessible, low-complexity, low-privilege attack path with high confidentiality impact. All Dolibarr versions prior to 24.0.0 are affected per CPE cpe:2.3:a:dolibarr:dolibarr:*:*:*:*:*:*:*:*; the remediation is the tagged 24.0.0 release and associated fix commit.
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Severity by source
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
Network-accessible REST API with no special conditions, low privilege (user-read account), confidentiality-only impact with no integrity or availability effect on the vulnerable system.
Primary rating from Vendor (VulnCheck).
CVSS VectorVendor: VulnCheck
DescriptionCVE.org
Dolibarr before 24.0.0 contains a SQL injection vulnerability in the users REST API that allows authenticated attackers with user-read rights to extract sensitive data by splicing unsanitized filter parameters into SQL WHERE clauses without column restrictions. Attackers can perform binary search on numeric fields and LIKE prefix iteration on string fields to recover salary figures and password verifiers omitted from normal API responses, while raw database error messages in the same endpoint enable column name enumeration.
Executive ViewAI
SQL injection in Dolibarr REST API (versions before 24.0.0) enables any authenticated user to extract sensitive payroll and password data without authorization. Affected organizations risk unauthorized account takeover, regulatory breach notifications, and insider-threat escalation via credential compromise.
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Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
SQL injection exploits the way applications construct database queries by mixing user input directly into SQL statements.
Authentication bypass attacks exploit flaws in the verification mechanisms that control access to systems and applications.
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
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EUVD-2026-65083
GHSA-5qq2-5wmp-fh5h
NVD
CVE.org
EPSS
Vulnrichment
Exploit-DB