CVE-2026-116339 in astron-agent
Summary
by MITRE • 10/26/2026
A vulnerability was determined in iFlytek astron-agent up to 1.1.2. This affects an unknown function of the file core/memory/database/api/v1/exec_ddl.py of the component DDL Whitelist Handler. This manipulation causes incomplete blacklist. The attack may be initiated remotely. The exploit has been publicly disclosed and may be utilized. The vendor was contacted early about this disclosure but did not respond in any way.
Be aware that VulDB is the high quality source for vulnerability data.
Analysis
by VulDB Data Team • 10/26/2026
The vulnerability identified within iFlytek astron-agent versions up to 1.1.2 represents a critical security flaw located specifically within the DDL Whitelist Handler component, which is implemented through the file core/memory/database/api/v1/exec_ddl.py. This module serves as an intermediary for executing Data Definition Language commands, typically used in database management systems to define or modify schema structures such as creating tables, altering columns, or dropping indexes. The specific technical flaw resides in an unknown function within this handler that fails to properly enforce its security controls, resulting in what is described as an incomplete blacklist mechanism. In the context of web application and API security, reliance on a blacklist approach for input validation is inherently risky because it requires enumerating every possible malicious payload or attack vector beforehand. When such a list is incomplete, attackers can bypass these restrictions by utilizing unexpected characters, encoding techniques, or syntactic variations that were not explicitly listed as forbidden inputs. This architectural weakness allows an adversary to inject unauthorized SQL commands directly into the database backend through the exposed API endpoint.
From an operational perspective, this vulnerability enables remote code execution at the database level, which falls under the category of Injection vulnerabilities. Specifically, it aligns with CWE-89, Improper Neutralization of Special Elements used in an SQL Command, commonly known as SQL injection. The impact of such a flaw is severe and multifaceted. An attacker who successfully exploits this vulnerability can bypass authentication or authorization checks if they are tied to the database layer, leading to unauthorized access to sensitive data stored within the application's backend systems. Beyond simple data exfiltration, the ability to execute arbitrary DDL commands means an attacker could potentially drop entire tables, alter table structures to introduce malicious columns for future exploitation, or even interact with underlying operating system functions if the database engine permits it through specific extensions like xp_cmdshell in Microsoft SQL Server or similar features in other RDBMS platforms. This transforms a simple data breach into a potential full compromise of the server infrastructure hosting the iFlytek service.
The threat landscape is further exacerbated by the fact that this vulnerability can be initiated remotely, meaning no prior authentication or local access to the target system is required for an initial attack vector. Furthermore, the exploit has been publicly disclosed and may be utilized by malicious actors in the wild. Public disclosure of exploits significantly increases the likelihood of automated scanning and opportunistic attacks against vulnerable instances across the internet. The lack of a vendor response since early contact indicates that affected organizations are currently operating without official patches or guidance from iFlytek, leaving them to manage this risk through compensating controls until an update is released. This silence from the vendor underscores the urgency for system administrators and security operations centers to prioritize mitigation efforts independently rather than waiting for a patch cycle.
To mitigate this vulnerability in the absence of an immediate vendor fix, organizations should implement strict input validation and parameterized queries wherever possible within their own application logic that interacts with the iFlytek agent's API. Network-level controls such as Web Application Firewalls can be configured to detect and block common SQL injection patterns directed at the specific endpoint core/memory/database/api/v1/exec_ddl.py. Additionally, restricting network access to this service via firewall rules or reverse proxy configurations to only trusted IP addresses can significantly reduce the attack surface. It is also advisable to audit database permissions for any accounts used by the application, ensuring they adhere to the principle of least privilege so that even if an injection occurs, the potential damage is contained. Monitoring logs for anomalous SQL syntax patterns associated with DDL operations on this endpoint will aid in early detection of exploitation attempts aligned with ATT&CK technique T1059 Command and Scripting Interpreter or T1190 Exploit Public-Facing Application.