CVE-2026-106035 in Xtraction
Summary
by MITRE • 10/13/2026
An Information Exposure Through Log Files vulnerability in Ivanti Xtraction Cloud Sync before version 2026.4 allows a remote authenticated attacker to disclose partial SQL database passwords through application log.
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Analysis
by VulDB Data Team • 10/13/2026
The identified vulnerability represents a critical failure in secure logging practices within the Ivanti Xtraction Cloud Sync software, specifically affecting versions prior to release 2026.4. This flaw is classified under CWE-532, which denotes information exposure through log files, and aligns with MITRE ATT&CK technique T1078, Valid Accounts, as it requires an authenticated attacker to exploit the weakness. The core technical issue stems from the application's logging mechanism inadvertently capturing sensitive authentication credentials during routine operational processes. When users or system components authenticate against the underlying SQL database, the plaintext password is written directly into the application log files without adequate sanitization or masking. This behavior violates fundamental security principles regarding the handling of secrets and credentials in persistent storage mechanisms.
From a technical perspective, the vulnerability allows any remote attacker who has obtained valid authentication credentials for the Ivanti Xtraction Cloud Sync interface to access these log files. Once authenticated, the attacker can navigate to specific endpoints or directories where logs are stored and retrieve them. The logs contain partial SQL database passwords, which may be sufficient for credential stuffing attacks if combined with other leaked information, or they may reveal patterns that facilitate brute-force attempts against the backend database. In some configurations, depending on the logging verbosity level, even full credentials might be exposed, significantly escalating the risk profile of this vulnerability. The persistence of these logs means that historical data containing compromised secrets remains accessible over time unless manually purged by an administrator who is unaware of the exposure.
The operational impact of this vulnerability is severe due to its potential for lateral movement and privilege escalation within enterprise environments. Ivanti Xtraction Cloud Sync often serves as a gateway or synchronization tool connecting various cloud services and on-premises resources. Compromise of the SQL database credentials allows an attacker to bypass application-level controls and interact directly with the backend data store. This can lead to unauthorized access to sensitive corporate data, modification of critical configurations, or complete system compromise if the database account possesses elevated privileges such as sysadmin rights in Microsoft SQL Server environments. Furthermore, because cloud sync tools often replicate permissions across connected systems, gaining access via this vector could potentially impact other integrated services and applications that rely on the same authentication infrastructure.
Mitigation strategies must focus immediately on patching and configuration hardening. Organizations running Ivanti Xtraction Cloud Sync versions earlier than 2026.4 should upgrade to the latest patched version where the logging mechanism has been corrected to mask or omit sensitive credential data from log outputs. In addition to upgrading, administrators should implement strict access controls around log file directories, ensuring that only authorized security operations personnel with a legitimate need-to-know can view these files. It is also recommended to rotate all SQL database passwords associated with the Ivanti Xtraction Cloud Sync service immediately upon patching or detection of potential exposure, as previous credentials may have already been harvested by attackers who had access during the vulnerable period. Implementing centralized log management solutions that automatically redact sensitive patterns using regular expressions can provide an additional layer of defense against future occurrences of similar logging flaws across the organization's infrastructure.