CVE-2026-86770 in Snipe-IT
Summary
by MITRE • 09/09/2026
Snipe-IT before 8.7.0 fails to validate username case sensitivity during SAML authentication, allowing attackers to authenticate as different users by registering IdP accounts with accent or case variants of victim usernames. Attackers can exploit the default utf8mb4_unicode_ci database collation to bypass username matching and achieve account takeover through federated login paths including SAML, LDAP, and OAuth.
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Analysis
by VulDB Data Team • 09/09/2026
The vulnerability in Snipe-IT versions prior to 8.7.0 represents a critical authentication flaw rooted in improper case sensitivity handling during identity provider integration. This issue specifically affects the application's ability to correctly map external identities from federated sources such as SAML, LDAP, and OAuth back to internal user accounts. The core technical deficiency lies in how the system processes username strings received from these external providers against its local database records. By failing to enforce strict case-sensitive matching or normalize inputs before comparison, the application allows for ambiguity in identity resolution. This oversight creates a significant security gap where an attacker can manipulate their registered account details on the Identity Provider side to mimic legitimate users without possessing their actual credentials.
The exploitation mechanism relies heavily on the default database configuration of Snipe-IT, which utilizes the utf8mb4_unicode_ci collation for its user tables. In MySQL and MariaDB databases, this specific collation is designed to be case-insensitive and accent-insensitive by design, meaning that characters like 'A' are treated identically to 'a', and accented variants such as 'é' may match their non-accented counterparts depending on the specific implementation details of the database engine. When an attacker registers a SAML or LDAP account with a username that differs only in case or accentuation from a target victim's existing Snipe-IT username, the application's authentication logic performs a comparison against this collation-sensitive database field. Because the matching process does not distinguish between these variants, the system erroneously associates the external identity of the attacker with the internal account of the victim. This results in an automatic login session being established for the victim under the control of the attacker.
The operational impact of this vulnerability is severe, constituting a complete bypass of authentication controls and leading to unauthorized account takeover. Since Snipe-IT often serves as a central repository for IT asset management, including sensitive information about hardware, software licenses, and potentially confidential organizational data, gaining access through this method provides an attacker with significant privileges within the application environment. The attacker can view, modify, or delete assets assigned to other users, alter configuration settings that affect system-wide security policies, and potentially escalate their own permissions if they manage to exploit subsequent privilege escalation vectors available in lower-privileged roles. Furthermore, because the flaw affects multiple federated login paths including SAML, LDAP, and OAuth, the attack surface is broadened beyond just single sign-on implementations using SAML protocols.
This vulnerability aligns with CWE-287 Improper Authentication, as it involves a failure to properly verify identity during the authentication process due to flawed logic in username comparison. It also relates closely to CWE-693 Protection Mechanism Failure, specifically where the protection mechanism relies on case-sensitive matching that is undermined by underlying system configurations like database collation settings. From an ATT&CK perspective, this behavior facilitates Initial Access through Valid Accounts and potentially Credential Access if attackers use these compromised sessions to harvest further credentials or lateral movement opportunities within the network infrastructure managed by Snipe-IT. The reliance on default database collations without explicit application-level normalization highlights a common architectural oversight where security assumptions are incorrectly delegated to underlying storage layers that may not enforce strict identity constraints required for secure authentication flows.
Mitigation strategies must address both the immediate software version and the underlying configuration dependencies. Organizations running affected versions of Snipe-IT should upgrade immediately to version 8.7.0 or later, as this release includes patches designed to handle username normalization correctly regardless of case or accent variations. For environments where upgrading is not immediately feasible, administrators can implement a workaround by modifying the database collation for user-related tables from utf8mb4_unicode_ci to a case-sensitive variant such as utf8mb4_bin or utf8mb4_general_cs if available and supported by their specific Snipe-IT version constraints. Additionally, enforcing strict username policies that prohibit special characters, accents, or mixed-case variations in both the Identity Provider configurations and local user accounts can reduce the likelihood of successful exploitation. Regular audits of authentication logs should also be conducted to detect anomalous login patterns indicative of this type of identity spoofing attack.