CVE-2026-92546 in Agentic AI
Summary
by MITRE • 10/27/2026
Authentication bypass by spoofing vulnerability in Keepnet Labs Cybersecurity Inc. Agentic AI / Agentic Ally allows Authentication Bypass.
This issue affects Agentic AI / Agentic Ally: before 0ef61f2e.
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Analysis
by VulDB Data Team • 10/27/2026
The identified security flaw represents a critical authentication bypass mechanism within the Agentic AI and Agentic Ally software solutions developed by Keepnet Labs Cybersecurity Inc. This vulnerability stems from an insufficient validation of identity credentials, allowing unauthorized actors to spoof legitimate user identities or system tokens during the access control process. By exploiting this weakness, attackers can circumvent standard authentication protocols without possessing valid login credentials, effectively gaining entry into protected environments as if they were authorized users. The issue is present in all versions of Agentic AI and Agentic Ally released prior to commit 0ef61f2e, indicating that the fix was implemented through a specific code update that likely addressed the underlying logic error responsible for the spoofing capability.
From a technical perspective, this vulnerability aligns with CWE-287, which describes Improper Authentication, and more specifically relates to mechanisms where an attacker can bypass authentication by manipulating input data or session tokens. In many modern AI-driven security platforms, agents often operate with elevated privileges to perform automated tasks such as threat hunting or incident response. If the agent's identity verification process is flawed, a malicious actor could inject spoofed requests that mimic legitimate internal traffic or valid administrative commands. This allows the attacker to execute actions under the guise of the trusted application, potentially leading to unauthorized data access, configuration changes, or further exploitation within the network infrastructure protected by these tools.
The operational impact of this vulnerability is severe due to the privileged nature of agentic AI systems in cybersecurity workflows. An authenticated session obtained through spoofing grants the attacker full control over the agent's capabilities. This could result in the exfiltration of sensitive security logs, modification of detection rules to evade future alerts, or even the execution of arbitrary commands on the host system if the application interface allows it. Furthermore, because these tools are often integrated into broader Security Operations Center (SOC) workflows, compromising them can degrade the overall visibility and responsiveness of an organization's defense mechanisms. Attackers could use this access to disable monitoring capabilities, alter alert thresholds, or plant backdoors that persist even after the initial breach is detected elsewhere in the network.
This type of exploitation maps directly to MITRE ATT&CK technique T1078, Valid Accounts, where adversaries leverage legitimate credentials or identities to maintain persistence and move laterally within a target environment. By bypassing authentication through spoofing rather than cracking passwords, the attacker reduces noise and avoids triggering common brute-force detection mechanisms. The ability to impersonate trusted entities makes this vulnerability particularly dangerous for organizations relying on automated security agents for continuous protection. It undermines the fundamental trust model upon which these AI-driven tools operate, potentially turning a defensive asset into an offensive weapon against its own organization.
To mitigate this risk, immediate action is required to update all instances of Agentic AI and Agentic Ally to versions released after commit 0ef61f2e. This patch addresses the specific logic flaw that permitted identity spoofing during the authentication handshake or session validation phase. Organizations should verify their deployment configurations to ensure no legacy versions remain in production environments. Additionally, implementing multi-factor authentication for administrative interfaces and enforcing strict network segmentation can provide defense-in-depth layers that limit the blast radius if a similar vulnerability were present in other components of the security stack. Regular auditing of access logs for anomalous login patterns or unexpected privilege escalations is also recommended to detect any potential exploitation attempts before they result in significant compromise.